The company is targeting the first calendar quarter of next year to complete the raise. People involved in the discussions said potential participants include large institutional investors and sovereign wealth funds, reflecting the scale of capital being sought. The structure of the round, including investor allocation and governance terms, is still being shaped.

Earlier discussions around the fundraise referenced a lower valuation, closer to $750 billion, indicating that pricing remains fluid as investor interest and capital commitments are assessed.

OpenAI’s capital needs have expanded rapidly over the past year as the company has shifted from primarily training models to operating them at scale. Running large language models in production requires continuous access to high-performance computing, with inference workloads consuming far more resources than early-stage development.

Unlike training runs, which can be scheduled and partially offset through cloud credits and long-term partnerships, inference costs scale directly with user demand. As usage grows across consumer products, enterprise services, and developer tools, those expenses are funded largely through cash rather than credits.

The company has also committed to multi-year infrastructure arrangements tied to data centers and specialized hardware. Several of those agreements involve capacity reservations rather than on-demand usage, increasing fixed costs regardless of short-term revenue fluctuations.

At the same time, OpenAI has accelerated the pace of model releases and expanded its platform offerings, including APIs, enterprise deployments, and custom tooling. Each expansion adds incremental operating and support costs alongside compute spending.

Competition among large AI developers has also driven parallel investment cycles across the sector. Companies building frontier-scale models are committing capital well ahead of monetization timelines, placing pressure on balance sheets and increasing reliance on external funding.

Hardware availability has further shaped spending decisions. Supply constraints in advanced memory components and high-performance accelerators have limited how quickly new capacity can come online. As a result, firms have increasingly sought guaranteed access through pre-purchase agreements and long-term contracts.

In parallel with private fundraising discussions, OpenAI has evaluated additional financing options, including a potential public offering at a later stage. Such a move has not been formally announced and remains exploratory.

The company has also held talks with major technology firms regarding strategic investments that would combine capital contributions with access to proprietary computing hardware. These discussions are separate from the current fundraising effort and have not resulted in disclosed agreements.

OpenAI is reported to be generating annualized revenue of approximately $20 billion, though the company does not publicly disclose profitability. Private-market data indicates OpenAI held more than $64 billion in cash and equivalents following earlier financing activity. Its most recent secondary transaction valued the company at roughly $500 billion.

Discussions around the new funding round are ongoing, and the final size, valuation, and investor mix have not been determined.

Also Read: OpenAI in Talks With Amazon Over $10B Deal and Trainium Chip Access

Trump Media & Technology Group has announced plans to merge with a privately held nuclear fusion company in an all-stock transaction valued at more than $6 billion, expanding the media company’s operations beyond social networking and into advanced energy development.

The merger would result in one of the few publicly traded companies focused on nuclear fusion, a field that aims to produce power by combining light atomic particles rather than splitting heavy atoms. Fusion has long been studied as a potential source of large-scale, low-emission energy, though commercial deployment remains under development.

Under the proposed structure, shareholders of Trump Media and the fusion company would each hold approximately half of the combined business. The agreement places a value of $53.89 per share on the fusion company’s common stock.

Shares of Trump Media, which have declined sharply over the past year, rose more than 20% in premarket trading after the announcement, reflecting renewed investor interest following the disclosure of the deal.

Expansion beyond social media operations

Following completion, Trump Media & Technology Group will operate as a holding company overseeing its Truth Social platform alongside the fusion business and its subsidiaries. Those subsidiaries include units working on power systems technology and applied life-science research tied to the company’s core fusion work.

For Trump Media, the merger adds an asset whose prospects are tied to long-term research and engineering progress rather than advertising revenue and user engagement. The company has faced ongoing volatility as a stand-alone social media operator, making diversification a central feature of its future structure.

About the fusion technology

Nuclear fusion produces energy by forcing atomic nuclei together at extremely high temperatures, releasing energy in the process. The same reaction powers stars, including the sun. Unlike conventional nuclear power, fusion does not rely on uranium or produce long-lived radioactive waste, but maintaining stable reactions at scale has proven technically difficult.

The fusion company involved in the deal has spent decades developing reactor designs, plasma control systems, and supporting technologies. Its operations also include work on related applications that could reach commercial use earlier than grid-scale fusion power.

While fusion remains years away from widespread deployment, interest in the sector has grown as governments and investors look for long-term energy sources that reduce dependence on fossil fuels.

Ownership and leadership structure

The merged company will be jointly led, reflecting the equal ownership arrangement between the two shareholder groups. No cash will be exchanged as part of the transaction, linking the future valuation of the combined business to progress in both media operations and fusion development.

The deal brings a research-heavy energy company into public markets, where it will face regular disclosure requirements and investor scrutiny that private fusion developers have largely avoided.

Whether the combined company can deliver sustained value will depend on execution across two distinct areas — maintaining an active social media platform while advancing complex energy technology toward commercial readiness.

Also Read: Trump Media’s Crypto.com Deal Puts Presidential Business Ties Under Scrutiny

The talks, which remain unresolved, place OpenAI’s valuation near $500 billion, according to reporting that cites individuals aware of the negotiations. The proposed agreement would also give OpenAI access to Amazon’s Trainium AI chips, expanding its computing options beyond Nvidia’s dominant hardware.

Such access would be a significant boost for Amazon’s semiconductor ambitions. While Nvidia still controls the bulk of the AI accelerator market, Amazon has invested heavily in Trainium to reduce reliance on external chip suppliers and attract large AI developers to its cloud platform.

A continuation of deepening ties

The discussions follow a major agreement signed in November, when OpenAI committed to purchasing $38 billion in computing capacity from Amazon Web Services. OpenAI chief executive Sam Altman described that deal at the time as necessary to secure large-scale, dependable compute for future growth.

Since completing a corporate restructuring in October, OpenAI has moved quickly to lock in capital and infrastructure partnerships. That restructuring was designed to give the company more flexibility in negotiating large strategic investments rather than relying on a single backer.

OpenAI has since announced or entered into infrastructure and funding arrangements totaling more than $1.4 trillion in commitments, involving chipmakers such as Nvidia, AMD, and Broadcom. The scale of those agreements has drawn attention to how aggressively the company is securing long-term compute supply.

Pressure on the AI investment cycle

The pace of dealmaking has revived concerns about excess spending across the AI sector, particularly where capital investment appears disconnected from near-term revenue. Those concerns sharpened last week after Oracle shares dropped sharply following earnings that highlighted rising AI-related costs without matching returns.

A potential Amazon investment would further concentrate OpenAI’s relationships with major infrastructure providers, while also positioning Amazon more directly against Microsoft, which remains OpenAI’s largest strategic partner through Azure.

Also Read: MoEngage Raises $180M More Weeks After $100M Round, Valuation Nears $1B

The latest funding includes $123 million in secondary transactions, allowing existing shareholders and employees to sell stock, alongside $57 million in new capital going directly into the business. As part of the secondary component, the company ran a $15 million employee tender, giving liquidity to 259 current and former staff members.

The round was led by ChrysCapital and Dragon Funds, with participation from Schroders Capital and existing shareholders TR Capital and B Capital. Several early investors exited partially or fully through the secondary sale, including Eight Roads Ventures, Helion Venture Partners, Z47, and Ventureast.

Valuation and financial position

The transaction values MoEngage at more than $900 million post-money, according to a person involved in the deal. The company is also tracking toward $100 million in annualised recurring revenue this year, though it has not publicly disclosed financial figures.

MoEngage expects to reach EBITDA profitability this quarter, according to co-founder and chief executive Raviteja Dodda, and is targeting around 35% compound annual growth over the next three years.

Where the primary capital is going

The fresh capital entering the business will be directed mainly toward product development and artificial intelligence, rather than sales expansion or market blitzes.

MoEngage plans to invest further in its Merlin AI suite, including the use of AI agents designed to help marketing, product, and engineering teams make faster decisions using customer data. The company is also bundling analytics, engagement, and transactional messaging into a broader product aimed at increasing contract sizes and expanding beyond traditional marketing teams.

Customer engagement, Dodda said, is no longer limited to marketing. Product and engineering teams increasingly rely on the same data to understand user behaviour, retention, and conversion.

Acquisition plans in the West

MoEngage is also setting aside capital for select acquisitions, primarily in the United States and Europe. The focus is on software companies that either complement its engagement platform or bring specialised AI capabilities. The company is also open to acquiring small AI teams to strengthen internal product development.

A global business built with Indian cost discipline

Founded 11 years ago, MoEngage is headquartered in Bengaluru and San Francisco and operates across 75 countries. More than 30% of its revenue comes from North America, around 25% from Europe and the Middle East, and the remaining 45% from India and Southeast Asia.

One factor cited by investors is the company’s ability to compete globally while maintaining an India-based cost structure, which has helped it price competitively in the U.S. market without sacrificing margins.

Liquidity without pressure to list

The heavy use of secondary transactions allows MoEngage to provide returns to early shareholders and employees without forcing a near-term public offering. Dodda said the company does not face pressure to list immediately and expects to consider an IPO in a couple of years, depending on market conditions.

Including this round, MoEngage has now raised about $307 million in primary capital since inception. Avendusadvised the company on the transaction.

Also Read: STMicroelectronics Shipped Over 5 Billion Chips for Starlink Over 10 Years

The chips are installed in customer terminals on the ground, where they handle communication between user equipment and Starlink’s low-Earth orbit satellites. STMicro began supplying SpaceX around 2015, when Starlink was still in development, and volumes have grown steadily as the network expanded.

Remi El-Ouazzane, who heads STMicroelectronics’ microcontrollers and digital integrated circuits business, said the number of terminals produced over the past decade could be matched again within the next two years, reflecting continued growth in satellite internet deployments. He did not provide shipment forecasts.

The antenna chips are manufactured using BiCMOS technology, which combines bipolar and CMOS processes to support high-frequency data transmission. El-Ouazzane said similar chip designs are being considered by other companies developing low-Earth orbit satellite systems.

Starlink currently operates in more than 150 markets and reports about 8 million users worldwide, according to information published by SpaceX. The network is part of a broader expansion of commercial satellite broadband services, alongside projects led by Eutelsat’s OneWeb and Amazon.

The spread of these satellite networks has increased demand for semiconductors that can operate in harsh environments while handling large volumes of data. STMicroelectronics supplies components designed for such conditions across several space-related programs.

In addition to chips used in Starlink user terminals, STMicro is supplying components for SpaceX systems that enable satellites to exchange data directly through laser links. The company is also working with European aerospace groups, including Thales and Eutelsat, on satellite projects such as the European Union’s Iris² constellation.

STMicroelectronics’ role in these programs places the company among a small group of chipmakers supplying hardware used in large-scale commercial satellite networks.

Also Read: SpaceX Reaches $800 Billion Valuation and Outlines Plan for 2026 IPO

Key Points

Rivian used its first Autonomy & AI Day to give a detailed look at the software and hardware that will guide its next generation of self-driving and in-car technology. The electric-vehicle maker announced a paid upgrade for advanced assisted driving, revealed its first in-house processor, and introduced a new voice assistant built on its own software platform.

The moves come as competition in driver-assistance technology continues to intensify, and as Rivian tries to set itself apart with a system built entirely around its own tools.

Rivian’s stock dropped more than 6% during the day.

Autonomy+ Brings Hands-Free Driving to Second-Gen R1 Models

Rivian’s new Autonomy+ upgrade will offer hands-free driving on supported roads, backed by a new autonomous driving model the company calls its Large Driving Model (LDM).
The company said LDM is trained in a way similar to large language models, but focused entirely on driving behavior instead of text.

Autonomy+ will be available in early 2026 and priced at:

• $2,500 one-time, or

• $49.99 per month

Rivian’s current cars offer adaptive cruise control and lane-keeping, but the new system is designed to handle more complex driving scenarios. The company says this updated platform is the foundation for its long-term goal of reaching Level 4 automation—where a vehicle can drive itself within approved areas.

CEO RJ Scaringe described a future where a Rivian vehicle could be told to drive itself to pick up a child from school, without a driver in the car. The company did not set a date for Level 4 capabilities.

Rivian Builds Its Own 5nm Processor to Power Future Autonomy

Rivian also introduced its first custom processor, following a strategy used by Tesla and other companies building advanced driver-assistance systems.

The Rivian Autonomy Processor (RAP1):

• Uses a 5nm manufacturing process

• Combines processing and memory in one module

• Will run on Rivian’s Autonomy Compute Module 3 (ACM3)

RAP1 is at the center of Rivian’s next hardware platform. Rivian said the system is now undergoing validation and scheduled to appear in its R2 models toward the end of 2026. Early R2 units, expected in the first half of 2026, will use current-generation hardware until ACM3 is ready.

Rivian also confirmed that lidar will be added to upcoming R2 vehicles, giving them a detailed 3D view of the road. This is a key difference from Tesla, which relies entirely on cameras.

Rivian’s New Voice Assistant Arrives in 2026

Alongside its self-driving upgrades, Rivian introduced Rivian Unified Intelligence (RUI)—its new AI platform that will support software tools inside future vehicles.

The first product built on RUI is the Rivian Assistant, a voice-controlled helper that can:

• Answer questions

• Help schedule tasks

• Coordinate with apps such as Google Calendar

• Assist with service and maintenance planning

The assistant will launch in early 2026 on both Gen 1 and Gen 2 R1 vehicles.

Rivian stressed that its platform is model-agnostic, meaning it can work with various large-model systems, including Google’s Gemini or OpenAI’s ChatGPT. Until now, Rivian used Amazon Alexa for simple commands, but RUI allows the company to run a much wider set of features.

Why Rivian Is Building Its Own Systems

Rivian said it is developing its own processors, driving models, and software so its vehicles can rely less on outside suppliers. By controlling more of the technology inside its cars, the company aims to update features more quickly and match competing systems already on the market. Rivian said this approach will guide the next stages of hands-free driving and its long-term work on higher levels of automation.

Also Read: Rivian Introduces Affordable SUVs and Crossovers in EV Market Revamp

Key Points

Disney has agreed to invest $1 billion in OpenAI and give the company permission to use a large group of its characters inside Sora, OpenAI’s video-creation tool. The three-year deal allows Sora users to make short videos featuring more than 200 characters from Disney, Marvel, Pixar, and Star Wars.

Disney clarified that the agreement covers only fictional characters. It does not allow Sora to use the faces or voices of real actors.

How Disney Plans to Use OpenAI Inside the Company

Disney will introduce ChatGPT to employees to help with internal tasks and early-stage development work.
The company also plans to show a selection of Sora-made videos on Disney+, which will be the first time Disney hosts fan-made AI videos that legally use its characters.

Disney CEO Robert Iger said the company wants to test new tools while keeping control over how its characters are used.

Why Disney Chose to License Characters Now

Sora has exploded in popularity because it can create convincing short videos from a few words of text. After the release of its newest version, many online videos appeared using copyrighted characters and public figures without permission.

Disney chose to license its characters to OpenAI so the company can control where and how its brands show up in AI videos instead of watching unlicensed clips spread online.

Why Disney Stepped In on Unapproved Sora Videos

After the newer version of Sora became available, users began posting videos online that included copyrighted characters and well-known figures without permission. Some clips used Disney characters, while others showed public figures such as Martin Luther King Jr.

Disney noticed these videos spreading across social platforms and wanted a way to stop its characters from being placed in unapproved content. The new agreement with OpenAI lets Disney set clear rules for which characters Sora can use and under what terms, instead of leaving users to upload clips on their own.

The deal does not settle ongoing copyright disputes around AI, but it does give Disney a workable system for controlling which of its characters show up in Sora-made videos.

Also Read: Disney Restores ABC, ESPN and Other Channels to YouTube TV After Two-Week Dispute

Shares of Dropbox slid more than 5% in morning trading following the leadership update.

Tennenbaum, who currently serves as president at Avalara and previously held its CFO role, will formally assume the CFO position at Dropbox on December 16. His arrival comes at a time when the company is directing more resources toward AI features, including Dropbox Dash, a tool designed to connect services such as Google Workspace and Slack to streamline file organization.

Regan joined Dropbox in 2016 as chief accounting officer and played a central role in the company’s 2018 initial public offering. He became CFO in 2020 and will remain with the company as a non-executive employee through March 15, 2026, ensuring a transition period as Tennenbaum steps into the role.

The San Francisco–based company reaffirmed that its fourth-quarter and full-year financial results remain on track with the guidance previously issued. Dropbox expects Q4 revenue between $623 million and $626 million on a constant-currency basis.

The company also lifted the midpoint of its 2025 annual revenue forecast by $18 million, now projecting a midpoint of $2.51 billion, compared with the prior midpoint of $2.49 billion.

Earlier this year, Half Moon Capital, an activist investor, urged Dropbox to eliminate its dual-class share structure, which grants CEO Drew Houston enhanced voting power. A spokesperson for the firm said it intends to continue discussions with Dropbox leadership once the current transitions conclude.

Also Read: Microsoft to Invest $17.5 Billion in India Data Centers

Thank you, PM @narendramodi ji, for an inspiring conversation on India’s AI opportunity. To support the country’s ambitions, Microsoft is committing US$17.5B—our largest investment ever in Asia—to help build the infrastructure, skills, and sovereign capabilities needed for… pic.twitter.com/NdFEpWzoyZ

— Satya Nadella (@satyanadella) December 9, 2025

India is seeing rapid demand for locally hosted computing systems as companies shift software and storage to cloud services and follow domestic data rules. The new spending will support:

• Construction of additional data centers for Azure and enterprise clients

• Upgrades to networks and on-premise hardware linked to Microsoft services

• Facilities built to match India’s data security and compliance requirements

Microsoft has not published the rollout timeline or listed which regions will receive the new build-outs. Analysts expect the projects to involve Indian contractors and technology providers once work begins.

The company has been active in India for over 30 years. This planned investment is one of its largest financial allocations in the country and signals a long-term expansion of core operations rather than short-term upgrades.

Also Read: Microsoft Exits Pakistan After 25 Years of Operations - Key Reasons Behind the Exit

Elon Musk says artificial intelligence and robotics could help the United States deal with its growing debt load. The national debt recently moved past $38 trillion, and interest costs have become one of the largest annual expenses in the federal budget.

Speaking in an interview released Sunday with investor Nikhil Kamath, Musk said smarter automated systems could lower the cost of production across major industries. In his view, automation can raise overall output without pushing prices higher, which strengthens tax collections and supports economic growth.

“The only thing that can solve for the debt situation is AI and robotics,” Musk said during the interview. He added that lower costs driven by automation would increase the availability of goods and services, reducing the need for debt-funded government support.

Musk described a short timeline for noticeable results. “We’re not there yet,” he said. “But… how long would it take us to get there? I think it’s three years.”

Out now @elonmusk pic.twitter.com/dQVLniUgWA— Nikhil Kamath (@nikhilkamathcio) November 30, 2025

Federal budget data shows why the issue is gaining urgency. The Treasury paid more than $850 billion in interest in the last fiscal year — more than the government spent on defense, Medicare or Social Security benefits. As older Treasury bonds come due and are refinanced at current interest rates, those payments are expected to increase again.

U.S. companies have already directed billions of dollars into AI development, from logistics automation and chip design to manufacturing systems that replace manual labor. Many of these projects have helped reduce delays and waste in supply chains, but the full effects have not yet shown up in national productivity numbers.

A recent assessment from the Penn Wharton Budget Model projects that the economic effects tied to automation will appear gradually. Their estimates show more noticeable productivity gains in the early 2030s if adoption continues.

The United States is carrying the highest interest expense in its history, and those costs are still climbing as old debt is refinanced. Musk’s argument places automation inside a discussion that typically focuses only on taxes and spending cuts. The speed at which AI becomes a standard part of production will determine whether technology plays any meaningful role in future debt pressure.

Also Read: Elon Musk Says Tesla’s Optimus Could ‘Eliminate Poverty’ After Record $1 Trillion Pay Approval

The investment would be made through AdaniConneX, a joint venture between Adani Enterprises and U.S.-based data-center operator EdgeConneX.

Google announced in October that it would spend $15 billion over five years to build an artificial-intelligence data-center campus in Visakhapatnam. The project includes an initial power capacity of one gigawatt.

Singh said discussions are not limited to the Google project, and that other potential clients have approached the company for large-scale data-center requirements.

Google has also indicated that its global capital expenditure on data infrastructure could total about $85 billion this year as technology companies expand capacity to support AI services.

Indian firms have made similar commitments. Groups led by Gautam Adani and Mukesh Ambani have announced separate data-center plans as demand for domestic infrastructure increases.

Also Read: Google to Build $15B AI Data Center in India’s Visakhapatnam

The round was led by Footwork, with participation from Liquid 2, Parable Ventures, 43, and other investors. Onton has now collected about $10 million in total funding.

From Furniture Search Tool to AI Shopping Companion

Only a year ago, Onton had around 50,000 monthly users. Today, it reports over 2 million, driven largely by shoppers who want a faster way to look through endless online catalogs.

Onton lets people:

• Upload a photo of their space and ask the AI to furnish it
• Search using images instead of text
• Generate design layouts and swap items in and out
• Compare store listings in a single interface

The company says these tools help customers make decisions instead of getting stuck scrolling product pages. According to Onton, shoppers are 3–5 times more likely to complete a purchase on its platform than on traditional e-commerce sites.

A Different Kind of AI Search

Most e-commerce search tools depend entirely on product descriptions provided by retailers. Onton claims to go further by teaching its system to infer real-world attributes that aren’t spelled out.

Example:
If someone asks for a pet-friendly sofa, the AI can identify fabrics like polyester that resist scratching and stains — even if the retailer never mentions pets.

Co-founder Zack Hudson says this requires more than a large language model (LLM). Onton uses a neuro-symbolic system that mixes neural networks with logic rules so results stay grounded in actual product qualities — not guesses.

“Shopping terms aren’t standardized. The same lamp might be called three different things on three websites,” Hudson said.
“We’ve trained our system to connect those differences so people actually find what they’re looking for.”

Why the Company Changed Its Name

Onton was originally called Deft. The team changed the name earlier this year after running into domain availability issues and concerns that “Deft” was too generic to build a strong brand around.

The company says the rebrand helped improve recognition — especially as it begins expanding beyond furniture.

Clothing and Gadgets

The money will be used to enter apparel first, followed later by consumer electronics — two large online shopping categories where decision-making can be overwhelming.

Those expansions will also put Onton into new competitive battles:

• Daydream, Aesthetic, and Style.ai in fashion
• Big-tech giants in electronics, including Amazon and Google

Hudson believes Onton’s visual and data-driven approach will translate well to these categories because shoppers want to understand fit, style, and compatibility before purchasing.

A Small Team Taking on a Big Problem

Onton started the year with only three people—the two founders and one engineer—managing everything from the search engine to retailer onboarding. The startup says it had no choice but to stay lean while it tested whether AI-guided shopping was something people actually wanted.

Now that more than 2 million people a month are using the service, the company has begun adding talent where the product needs it most. Onton has grown to a 10-person team, including roles focused on product data quality, structured listings, and the visual layout tools that let shoppers test how furniture fits in a real room.

The company is hiring again following the new investment. Hudson says they are adding AI engineers who specialize in understanding product attributes, as well as researchers who can teach the system how shoppers make decisions—like what details matter when choosing a sofa vs. a winter coat.

The team expects to reach around 15 employees over the next few months, but Hudson stressed that the company wants to avoid rapid headcount growth just for appearance.

“Every category we add has its own logic,” he said. “Getting that right matters more than hiring fast.”

Also Read: Anthropic Releases Claude Opus 4.5 With Major Price Cut and New Top Coding Scores

Anthropic has finished rolling out its Claude 4.5 series with the release of Claude Opus 4.5, the model designed for the most demanding software, research, and reasoning workloads. It joins Sonnet 4.5, introduced in late September, and Haiku 4.5, launched in mid-October, forming a three-tier system for different types of development and automation work.

Unlike the earlier launches, Opus arrived with a notable shift in pricing. Anthropic reduced the cost of the flagship tier by 67%, bringing it to $5 per million input tokens and $25 per million output tokens—one of the steepest price cuts for a top-end model this year.

Improved Performance on Real Development Tasks

Opus 4.5’s gains are most visible on coding benchmarks. The model posted an 80.9% result on SWE-bench Verified, a benchmark built around real bug fixes and software engineering tasks. This puts Opus ahead of OpenAI’s GPT-5.1 Codex Max (77.9%) and Google’s Gemini 3 Pro (76.2%) on the same test.

Anthropic says the model also exceeded the scores of all human candidates on its internal engineering exam, a timed evaluation used inside the company to measure decision-making under pressure. The company positions these improvements as evidence that Opus is now their most reliable tool for large-scale refactoring, production logic, and multi-step reasoning pipelines.

A Fast Sequence of Rival Releases

Opus arrives at the tail end of a crowded release cycle among major AI developers.

• Google introduced Gemini 3 Pro on November 18.
• OpenAI launched GPT-5.1 Codex Max the following day.
• Anthropic followed soon after with Opus 4.5.

The rapid series of launches has turned benchmarking into a near-daily contest. Anthropic’s pricing move adds another layer to the competition, reflecting pressure to make high-end models affordable for large deployments in coding, automation, and enterprise workflows.

Growing Competition From Asia

While Anthropic, OpenAI, and Google dominate Western markets, Chinese models are advancing quickly. Alibaba’s Qwen2.5-Max (released in January) and Qwen3-Max (released in September) have achieved strong results on research, multilingual analysis, and large-document reasoning tasks.
Qwen3-Max, in particular, performs well on LMArena and is widely used for deep technical research and workflows in East Asian languages. Although the Qwen models have limited presence outside China, they represent a major push for domestic AI capability in response to U.S. chip export controls.

How Opus Fits Into the Claude Product Line

With the 4.5 family complete, Anthropic now offers three distinct options:

• Haiku 4.5: optimized for speed and smaller tasks
• Sonnet 4.5: the balanced choice for day-to-day coding and agent work
• Opus 4.5: built for long reasoning chains, large codebases, and multi-hour workflows

Opus offers a 200,000-token context window and can generate outputs up to 64,000 tokens, giving it a capacity advantage for working on full repositories or large research documents. The model’s knowledge cutoff is March 2025, slightly more recent than Sonnet’s January cutoff.

Developer Testing Shows Strong Early Results

Developers who tested Opus before launch reported meaningful improvements, particularly on long, structured tasks. Simon Willison used the model to restructure one of his projects, spanning 39 files, 20 commits, and thousands of line changes. The model managed the edits reliably, though Willison said the performance gap between Opus and Sonnet feels small during routine development.

Other testers have been more enthusiastic. Theo Browne, CEO of T3 Chat, described Opus 4.5 as “the best coding model ever built,” citing its consistency and ability to follow complex logic without frequent corrections.

Backed by Major Industry Partnerships

Anthropic’s product expansion coincides with growing support from industry partners. Microsoft and Nvidia announced deeper multi-billion-dollar investments in the company last week, lifting Anthropic’s estimated valuation to about $350 billion.
The partnerships include expanded access to Azure infrastructure and next-generation Nvidia hardware for training and deploying the Claude models at scale.

Where Opus 4.5 Is Available

Claude Opus 4.5 is now accessible through:

•  Anthropic’s API
• AWS Bedrock
• Google Vertex AI
• The Claude web and desktop applications

Also Read: US Gives Green Light for AI Chip Exports to Humain in Saudi Arabia

Tesla can now test its robotaxis on public roads in Nevada after the state accepted the company’s required self-certification filing. The approval gives Tesla permission to run autonomous vehicles in supervised testing on Nevada streets.
This does not allow the company to charge for rides yet. For commercial service, Tesla must receive a separate decision from the Nevada Transportation Authority, which has not said when that review will be finished.

The approval is important for Tesla because Nevada is one of the few states that already hosts large-scale testing by autonomous vehicle companies. Major routes in and around Las Vegas are frequently used by tech and transportation firms to validate highway and urban self-driving systems, making the state a strategic testing location. Industry analysts say Nevada’s infrastructure, climate, traffic variability, and long stretches of open highway allow companies to gather data far more quickly than in dense coastal cities.

Tesla already operates its robotaxi service in San Francisco and Austin. In both cities, the company is using specially configured vehicles equipped with its Full Self-Driving software and operational support teams that monitor deployment. Hiring data shows Tesla is preparing to replicate that structure in other regions. The company has posted job openings in Las Vegas, Dallas, Houston, Tampa and Orlando, with positions covering vehicle operations, customer support, local fleet maintenance, and incident response. These openings indicate Tesla is building local teams ahead of each city’s launch rather than operating the service entirely from California or Texas.

During Tesla’s October earnings call, CEO Elon Musk said the company expects to operate autonomous ride-hailing services in Nevada, Florida, and Arizona by the end of the year. Musk estimated that Tesla’s fleet for these markets will exceed 1,000 robotaxis, though he did not specify how many would be allocated to each state. Tesla has not disclosed whether it will roll out the service in stages or begin full operations once regulators approve commercial use.

Earlier this week, Arizona’s Department of Transportation granted Tesla permission to offer ride-hailing services in that state. Officials also confirmed that Tesla filed a separate testing certification that allows autonomous vehicles to operate on public roads with safety drivers. Arizona has become one of the more accessible states for companies seeking to deploy autonomous systems, and several firms — including Waymo and Cruise — have used its regulatory structure to run early-stage commercial programs.

Competition is intensifying nationwide, especially in California. State regulators are updating rules for autonomous ride-hailing, and companies are pushing for different approaches. Waymo, which operates driverless services in San Francisco and Los Angeles, has recommended that companies offering rides be required to submit quarterly operational reports showing ride volumes, service issues, and other data. Tesla has argued against this requirement, saying such reports would create inconsistent expectations across operators and could be interpreted in misleading ways if companies use different measurement standards.

Meanwhile, Amazon’s Zoox has begun offering free robotaxi rides to select users in San Francisco, introducing another competitor in a state already crowded with autonomous vehicle programs. The growing number of operators has also increased pressure on state officials to create rules that balance safety oversight with the ability to scale new services.

Tesla’s stock slipped about 2% on Thursday, though it remains more than 15% higher than a year ago. Investors have been watching each regulatory approval closely because the robotaxi business is one of Tesla’s most important long-term projects. Although the Nevada testing approval does not allow Tesla to operate commercially yet, it removes one of the required steps before the company can launch the service in a major tourist and transportation hub.

Also Read: Tesla Faces Federal Scrutiny for Delayed Self-Driving Crash Reporting

Marvell has been active in India for many years and currently employs around 1,700 engineers across three cities. According to Navin Bishnoi, who leads the company’s operations in the country, Marvell intends to increase that number by about 15% each year for the next three years. While he did not provide details on the size of the increased research budget, he said the company will assign more technical programs to its India teams.

The hiring plan comes during a period when companies worldwide are building more data centers to support AI training and inference. These systems rely on advanced chips for networking, storage, data movement, and security — areas in which Marvell specializes.

How Marvell Uses Its India Teams

Marvell operates three main centers in India, each with a specific set of responsibilities:

Bengaluru (India Headquarters)

This is the company’s largest India facility. Engineers here work on chip design, hardware validation, system software, and product integration. Projects handled in Bengaluru often involve long-term development cycles and cross-team coordination with Marvell groups in the U.S. and Asia.

Hyderabad (Security Engineering)

The Hyderabad office focuses on security solutions for servers and data centers. This includes encryption modules, data protection features, secure boot systems, and internal tools that help cloud providers maintain hardware reliability and safeguard information.

Pune (Embedded Development)

The Pune team works on embedded software and firmware used in networking and storage hardware. This includes routing technologies, storage controllers, NIC firmware, and link-level performance tuning — essential components for large AI data center setups.

Bishnoi said India’s teams have grown in technical depth over the years, and more product categories are now handled locally. He added that Marvell expects India engineers to take on a larger share of design work for chips used in AI servers and high-speed network systems.

Why India Has Become More Important for Marvell

Although India currently contributes a small portion of Marvell’s total revenue, Bishnoi said this is likely to change as:

• more global cloud companies build data centers in India,

• local enterprises adopt AI hardware for internal workloads,

• new data protection rules require storage and processing within the country, and

• Indian companies modernize their networks for higher throughput.

“India has become one of the top regions for new data center capacity,” Bishnoi said. He added that Marvell is currently in discussions with global cloud providers and several Indian companies to supply hardware for new AI-related projects.

Growing interest in AI tools, along with the need for reliable data movement and storage, has increased demand for chips that support high bandwidth and low latency. Marvell provides components used in switches, optical modules, servers, and security appliances — all of which are required in AI data centers.

Interaction With Local OSAT Providers

Marvell is a fabless semiconductor company. It designs chips internally but uses external foundries, assembly firms, and testing companies for manufacturing.

Bishnoi said Marvell is speaking with several Indian OSAT providers (outsourced semiconductor assembly and test companies) about future cooperation. These firms package and test chips after fabrication, a crucial step that affects performance, reliability, and time-to-market.

India has seen new OSAT projects announced under government financial programs. While these facilities are still in early stages, Marvell wants to understand how it can work with such companies once they begin full operations. Bishnoi said the talks are intended to align long-term plans rather than establish immediate manufacturing activity in the country.

India’s Semiconductor Ambitions and Marvell’s Position

India has announced a $10 billion program to encourage semiconductor production, with a focus on assembly, testing, design centers, and eventual fabrication. Several OSAT facilities and joint ventures are already under construction or undergoing approval.

Although India does not yet have a large-scale fabrication plant, the government wants to build domestic capacity for chip packaging and testing, which are essential for AI and data-center hardware.

Marvell’s engineering presence aligns with these developments because:

• its India teams already contribute to advanced chip design,

• local OSAT firms will eventually need design collaboration,

• more data centers in India require locally optimized networking hardware, and

• the country is becoming a preferred location for hardware design talent.

Bishnoi said India may not be one of Marvell’s fastest-growing revenue markets within the next five years. However, he expects India’s long-term prospects to be strong, particularly as domestic companies increase hardware spending.
“Ten years from now, yes,” he said, referring to India’s potential to become a larger source of revenue.

AI Growth Has Created New Opportunities for Marvell

AI training and inference require very high bandwidth between servers, GPUs, and storage. This has increased demand for:

• optical modules,

• high-speed Ethernet chips,

• storage acceleration products,

• data center security systems, and

• embedded controllers that manage internal traffic.

Bishnoi said Marvell’s India teams are involved in these areas and will take on more work as the company expands. He noted that India’s engineers have contributed to products used in recent AI server generations and that additional work will be assigned to India as staffing grows.

Hiring Plans and Talent Availability

Marvell plans to add new engineers gradually rather than through rapid hiring, according to Bishnoi.
He said India continues to offer a strong talent pipeline, especially in chip design, embedded systems, high-speed networking, and firmware — fields that match Marvell’s product lines.

Hiring will be distributed between the company’s three main centers, with Bengaluru receiving the largest share due to its existing scale and the availability of senior engineers.

Also Read: Adobe to Acquire Semrush for $1.9 Billion in Cash

Adobe stated it will pay $12 per share, nearly twice Semrush’s closing price of $6.89 on Tuesday. Semrush’s market value at the close of trading that day was roughly $1 billion.

The acquisition gives Adobe a direct entry into the fast-growing area of content visibility for AI-driven browsing and information tools. As more users turn to AI chatbots and assistants for product searches, news lookups, shopping, and travel planning, companies are increasing their spending on tools that help websites appear inside AI-generated responses.

Adobe said its internal analytics show this shift is already underway. According to Adobe Analytics, traffic from AI chatbots to retail websites in October was 1,200% higher than the same month last year.

Semrush has been building tools aimed at what it calls “generative engine optimization,” a set of methods designed to improve visibility inside AI assistants such as ChatGPT, Claude, Copilot, Grok, and Perplexity. The company recently introduced a tracking system that evaluates website performance across both traditional SEO and AI-based discovery.

Anil Chakravarthy, president of Adobe’s Digital Experience Business, said the addition of Semrush will give companies a way to strengthen their presence across both search and AI-driven channels. He said brands that ignore the shift risk losing reach and sales as user habits move toward AI-powered tools.

The acquisition brings Semrush’s search and AI-discovery tools into Adobe’s marketing lineup. With Semrush folded in, Adobe will be able to offer companies a single place to manage content performance across both traditional search engines and AI assistants, alongside the analytics and customer tools it already provides.

Also Read: Adobe Launches Firefly AI App for iOS & Android with Major New Partnerships

The trial concluded in late May, and the judge issued his decision on Tuesday. The outcome contrasts with two recent federal rulings that found Google responsible for illegal conduct in search and digital advertising.

Judge Says FTC Failed to Prove Current Power

In his written order, Boasberg said the FTC built its arguments around older market conditions and older competitors.
He noted that the agency continued to describe Meta’s position as if the market had not changed since the early 2010s.

Boasberg wrote that even if Meta held a dominant position in the past, the FTC had to show that the company still holds that position now. The court concluded that the agency did not meet this requirement.

The FTC relied on statements from 2008, including one attributed to Mark Zuckerberg saying it was better to buy rising companies than compete against them. The agency said Meta followed that approach by tracking young platforms and purchasing those it viewed as threats.

Zuckerberg Questioned About Old Emails

During his testimony in April, Zuckerberg was asked about emails written before and after the purchase of Instagram.
He said the notes were written early in the review process and did not reflect the full reasoning behind the deal.

Boasberg wrote that the case was not about reconsidering the Instagram or WhatsApp acquisitions the FTC approved years ago. Instead, prosecutors had to prove an ongoing violation. The court said that standard was not met.

The FTC also argued that Meta used internal rules to make it harder for smaller companies to enter the market. The court found the agency did not show that these rules created present-day harm.

Market Changed Faster Than the Case

Boasberg wrote that the social media market has changed repeatedly since the FTC filed the lawsuit in 2020.
Early versions of the case did not mention TikTok at all. Today, TikTok is one of Meta’s strongest competitors in video and user attention.

The judge noted that it is no longer possible to sort apps into narrow categories such as “social networking” and “social media,” because features overlap and user behavior shifts from year to year.

Meta Welcomes the Ruling

Meta said the decision reflects the level of competition it faces.
Jennifer Newstead, the company’s chief legal officer, said Meta will continue investing in the United States and working with federal officials.

Industry analysts also said the ruling was expected. Minda Smiley of Emarketer said Meta has changed its products many times to keep pace with TikTok, especially in short-form video.

Also Read: EU Hits Apple & Meta with Over €700M in Fines for Breaking Digital Competition Rules

• ● The US is preparing to approve exports of advanced AI chips for the Saudi AI firm Humain.
• ● The approval is part of an AI agreement discussed during Trump’s meeting with Crown Prince Mohammed bin Salman.
• ● The approval involves tens of thousands of AI chips.
• ● Humain is waiting for US permits to buy processors from Nvidia, AMD, Qualcomm, and Groq.
• ● Humain plans to deploy up to 400,000 AI chips by 2030 and build 6.6 gigawatts of computing capacity by 2034.

The United States is preparing to allow American chipmakers to sell advanced AI processors to Humain, Saudi Arabia’s state-backed artificial intelligence company. The decision is expected during Crown Prince Mohammed bin Salman’s visit to Washington for talks with President Donald Trump.

The upcoming approval is part of an agreement the two governments are finalizing on AI cooperation. Under this arrangement, the US will review a fixed number of export requests for Saudi Arabia with fewer delays, restoring access to hardware that has required special permission since 2023. The clearance will apply to shipments meant for Humain as well as to US firms building data centers in the kingdom.

President Trump confirmed that both sides are working on a chip-related deal, saying it will cover “certain levels of chips.” One official involved in the discussions said the number of processors under consideration is in the tens of thousands.

Treasury Secretary Scott Bessent later said Saudi Arabia would be linked with major US technology companies and that a Saudi startup would receive a smaller batch of chips to begin development. He did not name the companies involved.

A decision from Washington would open the door for major semiconductor producers, including Nvidia and AMD, to expand in the Gulf. Saudi Arabia has been spending heavily on AI infrastructure, making it one of the fastest-growing destinations for advanced computing hardware.

Humain has been waiting for export permits for processors from several US suppliers. The company says access to these chips is necessary for its large-scale AI systems and data-center plans.

The agreement comes after months of discussions between Washington and Riyadh regarding how the chips will be used and safeguarded. The US has restricted AI hardware sales to China since 2022 and added dozens of additional countries, including Saudi Arabia, to tighter control lists the following year. The US has kept those rules in place while working with Saudi Arabia on specific terms tied to technology security.

Saudi officials have publicly stated that the kingdom would adjust its partnerships if the US requested it. Humain has also pledged not to buy equipment from Huawei, which has been trying to secure AI chip customers in Saudi Arabia.

Humain was launched six months ago with the crown prince serving as chairman. Backed by the Public Investment Fund, the company is positioned as the main vehicle for the kingdom’s AI build-out. In October, Saudi Aramco signed a preliminary agreement to acquire a significant minority stake in the company.

During his White House meeting, the crown prince said artificial intelligence would play a central role in the country’s future economy. He said Saudi Arabia expects to spend around $50 billion on semiconductors in the near term. Humain plans to deploy as many as 400,000 AI chips by 2030.

The company has released an Arabic-language chatbot, an operating system, and several software tools. Its primary offering to US tech firms is access to low-cost power for large data centers. Humain has committed to building 6.6 gigawatts of computing capacity by 2034—an output large enough to match some of the biggest AI infrastructure projects planned worldwide.

Also Read: Saudi Arabia Partners with Nvidia to Build Massive AI Infrastructure as Trump Visits Gulf

That setback became far less damaging once the United States restricted China’s access to high-end semiconductors. The export limits created a shortage of advanced processors in China, and government agencies and major companies were guided to rely more heavily on domestic suppliers. Cambricon, which had struggled to compete with foreign chipmakers in the open market, suddenly found itself in a position where Chinese firms needed local alternatives.

Cambricon’s share price has risen sharply over the past two years. With roughly 28% ownership, founder Chen Tianshi’s net worth has climbed to about $22.5 billion. The increase puts him among the richest entrepreneurs of his age in China’s technology sector.

The company’s rapid rise has raised questions among analysts about how much of its success is tied to technology and how much comes from a shift in policy. Cambricon itself has cautioned investors in regulatory filings that U.S. restrictions continue to limit its access to certain tools and that expectations should remain realistic as the company works through technical challenges.

Reports in the local market have pointed to a new processor, the Siyuan 690, though it is generally understood that the chip remains behind the performance levels of leading global products. Cambricon has not provided detailed public timelines for when the processor will reach full commercial deployment.

Chen’s background traces back to China’s state-supported academic system. Born in 1985, he was admitted to a specialized student program at the University of Science and Technology of China and completed a doctorate in computer science. He and his brother later joined the Chinese Academy of Sciences, where their research on AI acceleration first gained attention. The chip design that became Cambricon was introduced during their work there and later spun off into the company founded in 2016.

The firm gained early recognition in 2017 when its technology appeared in one of Huawei’s smartphone models, but the cooperation ended two years later. Cambricon shifted its focus to chips for cloud servers and edge devices, a direction that later aligned with China’s push for domestic hardware.

Cambricon entered the STAR Market in Shanghai in 2020 and spent several quarters operating at a loss before achieving its first profitable period at the end of 2024.

The company was added to the U.S. entity list in 2022, restricting its access to certain American technologies. However, as Washington expanded its export rules to cover high-performance chips from global suppliers, Chinese firms began sourcing more components from local manufacturers. This change gave Cambricon a steady stream of new demand over the past year.

Competition within China has also increased. Several domestic chip companies are preparing for market listings and expanding their own product lines, creating a crowded field of local AI hardware developers. Even so, Cambricon remains one of the most visible names in the country’s semiconductor sector during a period of rapid change.

Also Read: Nvidia CEO Jensen Huang Says Company Won’t Sell Blackwell AI Chips in China

Key Points

Sakana AI has completed a ¥20 billion (around $135 million) Series B funding round, valuing the company at approximately $2.65 billion. CEO David Ha confirmed the figures, noting that the round reflects continued interest in Japan-based AI research at a time when the global industry remains dominated by U.S. companies such as OpenAI, Google and Anthropic. The round comes one year after the company’s previous fundraise and further establishes Sakana as one of Japan’s most heavily funded AI startups.

Company Background

The firm was set up in 2023 by former Google researchers Llion Jones, Ren Ito and David Ha. The three founders built the team with a clear goal: to create language models that handle Japanese sentence structure, tone and formal writing conventions with greater accuracy than foreign systems. Their approach uses smaller, well-curated datasets and model architectures built to run efficiently on limited compute, making the technology more accessible to Japanese enterprises that cannot deploy extremely large models.

Research Approach

Sakana focuses heavily on refining its models after the initial training stage. Much of the work involves adjusting how the system interprets vocabulary, honorifics, writing style and contextual cues unique to Japanese. This process allows the company to release versions adapted for business documentation, customer communication and internal workflows without needing to train massive new models each time.
This methodology also separates Sakana from U.S. model developers that prioritize scale above specialization.

Investor Participation

The funding round includes participation from Mitsubishi UFJ Financial Group (MUFG), one of Japan’s largest financial institutions. MUFG has been exploring domestic AI infrastructure to support internal automation projects.
International investors joined as well, including Khosla Ventures, Macquarie Capital, NEA, Lux Capital and In-Q-Tel (IQT). Their involvement indicates continued global interest in region-specific model development, particularly in countries where data regulations and language characteristics require localized solutions.

Use of Funds

The company will increase hiring across model development, evaluation, engineering and customer deployment teams.
Sakana is also expanding its commercial operations in Japan, where it has already worked with groups such as MUFG and Daiwa to design AI systems for document processing, internal communication review and structured data analysis.
Additional funds will be used to build internal datasets, strengthen testing pipelines and release updated versions of its Japan-tuned models.

Sector Expansion

The firm plans to widen its enterprise offerings in 2026 to include industrial automation, factory operations and public-sector environments. These sectors require precise language handling and strict data-handling controls—areas where Sakana believes its locally developed models can be used without major adaptation.
The company is also examining opportunities in national security-related work, including information analysis and specialized model deployment, though no formal programs have been announced.

Strategic Direction

Sakana is open to collaborations with Japanese corporations and may consider acquisitions if they support its model research or enterprise deployments. The company is also studying potential overseas markets where demand for national-language AI systems is increasing, particularly in regions with strict data laws or complex local writing systems.

Sovereign AI Positioning

Japanese companies, especially in finance, manufacturing and regulated industries, have shown rising interest in models built within Japan’s regulatory environment. Data residency requirements, linguistic accuracy and internal risk policies have made domestic model providers more appealing for organizations that previously depended on U.S. systems.
Sakana aims to supply models that meet these requirements without the extensive modifications typically needed when working with foreign LLMs.

Previous Funding

The company’s earlier Series A, completed about a year ago, raised close to ¥30 billion (roughly $214 million) and valued Sakana at about $1.5 billion. PitchBook data shows that Sakana had raised around $244 million by March 2025. With the new Series B, its total funding now stands near $379 million, placing it among the most well-capitalized AI developers in the Asia-Pacific region.

Also Read: Why Top YouTubers No Longer Depend on Ad Revenue — and How They are Building Real Businesses

Disney confirmed on Friday that the agreement reinstates its entire portfolio of networks — including ESPN, ABC, FX, Freeform, NatGeo, and several college sports channels — and that the return of programming has already begun.
YouTube TV said subscribers should see the channels reappear throughout the day, thanking users for their patience and acknowledging the inconvenience caused by the outage.

How the blackout began

The disruption started late on October 30, when Disney’s channels disappeared from YouTube TV after both companies failed to finalize a new contract.
The removal had an immediate impact on viewers: ESPN’s live sports coverage went dark, ABC affiliates dropped from the lineup, and multiple entertainment and documentary channels were no longer accessible.

This led to missed college football games, delayed access to news coverage, and gaps in primetime programming—an unusually long interruption for a major bundle of mainstream channels.

A public clash over pricing and terms

During the standoff, each side accused the other of being responsible for the breakdown.
YouTube TV argued that Disney pushed for higher fees that would ultimately fall on subscribers and reduce the platform’s flexibility in how it offered channel packages. The company also hinted that the blackout gave Disney an advantage by pushing viewers toward Hulu + Live TV and other Disney-owned services.

Disney countered that YouTube TV refused to agree to what it considered fair market pricing for its channels. The company also criticized Google for removing the channels before the previous agreement officially expired and claimed Google used its platform influence in ways that undermined competition.

Their disagreement spilled into the public sphere, with both companies issuing statements while viewers were left in the middle.

Channels return as both companies declare success

When the new agreement was announced, YouTube TV said the deal maintains the value of its service and preserves room for future adjustments.
Disney’s leadership — including Disney Entertainment co-chairs Alan Bergman and Dana Walden, and ESPN chairman Jimmy Pitaro — expressed relief that viewers would regain access ahead of a major weekend of college football and other live events.

Previous Contract Issues

Contract disputes have become increasingly common as live TV platforms and media companies renegotiate fees and rights in a crowded streaming market. Disney and YouTube TV previously clashed in 2021, but that dispute lasted just under two days.

YouTube TV has also been involved in other carriage conflicts. Its disagreement with TelevisaUnivision left Univision and related channels unavailable since September 30. TelevisaUnivision criticized the move, saying it cut off millions of Spanish-speaking viewers from essential programming.

Subscription pricing and alternatives

YouTube TV’s standard plan costs $82.99 per month, offering access to local broadcast networks and a range of live TV channels. The company previously said customers could request a $20 credit if the Disney blackout continued for an extended period; subscribers were able to begin requesting the credit on November 9.

Disney distributes live content through multiple platforms. ESPN launched a standalone streaming service earlier this year for $29.99 per month, while other content from the company is available through Hulu, Disney+, and Fubo. Disney also offers a bundle with ESPN, Hulu, and Disney+ starting at $35.99 per month, with promotional pricing available for new users.

Also Read: Disney Losing $4 Million Daily in YouTube TV Blackout Over ESPN and ABC

Key Points

Los Angeles — Disney is losing an estimated $4 million every day as its standoff with YouTube TV enters a second week, leaving millions of U.S. households without access to ESPN, ABC, FX, and National Geographic.

The blackout began on October 30 after Disney and YouTube TV failed to renew their carriage contract. YouTube TV, owned by Alphabet Inc., immediately removed Disney’s networks from its live-channel lineup, halting one of Disney’s most profitable revenue streams.

Analysts at Morgan Stanley estimate the company is missing out on about $30 million a week in combined affiliate fees and advertising income.

Disney and Alphabet Disagree Over Fees

The dispute centers on how much YouTube TV should pay to carry Disney’s channels.
Disney is seeking higher carriage fees for ESPN and ABC, arguing that live sports and primetime programming continue to draw large audiences. Alphabet has rejected the increase, saying Disney’s proposed rates would force price hikes for subscribers and breach existing parity agreements with other distributors.

In the cable era, Disney could afford a long blackout. Viewers had fewer options, and ESPN was essential for sports fans. But YouTube TV now serves more than nine million subscribers, giving Google more control over how households access live television.

Blackout Hits Disney During Peak Sports Schedule

The dispute comes at a costly time. ESPN’s lineup currently includes the NFL, NBA, college football, and NHL — its busiest stretch of the year. Each day off YouTube TV cuts into the audience advertisers pay to reach.

ABC is also airing its fall schedule, losing primetime ad inventory during one of the strongest revenue quarters for network television. Analysts say losses could exceed $60 million if the outage extends into next week.

The financial hit is modest relative to Disney’s size but underscores a deeper problem: the company’s traditional TV model depends on distributors it no longer fully controls.

YouTube TV Credits Subscribers, Holds Its Ground

YouTube TV has offered subscribers a $20 credit to offset the missing channels. The refund costs far less than agreeing to Disney’s pricing terms, allowing Alphabet to absorb the impact with limited financial risk.

Some users say the credit process is confusing, but YouTube TV appears comfortable maintaining its position. Its leadership believes viewers are more likely to accept a temporary content gap than a higher monthly bill.

The standoff shows how distribution platforms have gained leverage as streaming replaces cable. With its scale and pricing power, YouTube TV can negotiate from a position that traditional cable operators once held.

Impact on Disney’s Leadership and Earnings

The blackout compounds existing challenges for CEO Bob Iger, who is managing corporate restructuring, slower streaming growth, and the question of how to position ESPN for a digital future.

Every day without access to YouTube TV cuts into ESPN’s ratings, ad impressions, and brand visibility. Those shortfalls could appear in Disney’s November earnings report, scheduled for release on Thursday morning.

Negotiations Likely to Conclude Soon

People familiar with the talks say both sides are still in contact and aiming to restore service before mid-November. Neither company benefits from a prolonged disruption during football season, when ESPN generates its highest ad revenue.

When the channels return, the outcome will signal more than just a contract renewal — it will show how much control over television has shifted from the studios that create shows to the platforms that deliver them.

Also Read: Google to Invest $6.4 Billion to Build New Cloud Data Center in Germany

The investment includes a new data center in Dietzenbach, near Frankfurt, an area that hosts many of Europe’s financial institutions and network hubs. The plan was shared by the company ahead of a press briefing in Berlin.

Google said the move responds to growing demand for cloud computing and AI processing among German manufacturers, financial firms, and government agencies. The new facility will operate alongside its existing Frankfurt site and is expected to handle workloads linked to Google Cloud’s enterprise clients in Europe.

The company confirmed it is working with regional authorities on permits and construction plans and expects physical work on the Dietzenbach site to start in early 2026. Once operational, the data center will provide capacity for high-performance computing and cloud storage under European data protection standards.

To power the new site, Google is negotiating with local utilities to secure renewable electricity and expand access to clean energy in the Hesse region. The company reiterated its target to operate entirely on carbon-free energy by 2030, a commitment shared across all its global infrastructure.

Rival cloud providers such as Amazon Web Services and Microsoft Azure have also announced new cloud regions in Germany within the past year. Their expansion aligns with Berlin’s stricter data localization and cybersecurity rules, which require certain information to be stored within the country.

The Dietzenbach project will position Germany as a central hub in Google’s European network, adding capacity for AI workloads, regional cloud storage, and faster digital services for local clients.

Also Read: Google and Reliance to Offer Free 18-Month AI Pro Access to Jio Users in India

The shift marks a turning point in YouTube’s creator economy. The company said in June that its ecosystem contributed over $55 billion to U.S. GDP and created 490,000 full-time jobs last year. Yet ad payouts remain unpredictable. In response, top YouTubers have built real-world companies that now earn more than their content ever did.

MrBeast:

Jimmy Donaldson (MrBeast) has built one of the biggest media-backed consumer brands in the world. His snack label Feastables, launched in 2022, generated about $250 million in 2024 revenue. Its first product, the MrBeast Bar, sold 1 million bars in three days.

Donaldson’s wider portfolio includes MrBeast Burger, the packaged food brand Lunchly (with Logan Paul and KSI), MrBeast Lab toys, and the analytics startup Viewstats. He’s also filed trademarks for a banking and crypto app and is developing plans for a mobile network service.

Reports this year suggest he is working on a theme park in Saudi Arabia designed around challenges from his videos — a project that underlines how far his brand extends beyond YouTube.

Emma Chamberlain:

Emma Chamberlain went from casual vlogger to business founder with Chamberlain Coffee, launched in 2019. The company sells coffee and matcha online and through retailers including Target, Walmart, and Sprouts.

It earned about $20 million in 2023 and opened its first café in Los Angeles this year. After supply delays in 2024, the company expects sales to grow 50% in 2025, topping $33 million. Chamberlain, who remains majority owner, has turned her image into a lifestyle brand rather than an ad-dependent channel.

Logan and Jake Paul:

Logan Paul has shifted from controversy to commerce. His Prime energy drink, co-founded with KSI, hit $1.2 billion in global sales in 2023. Demand later cooled after caffeine investigations and distributor lawsuits, particularly in the U.K., where sales dropped about 70% last year.

Logan still manages Maverick Apparel and W, a men’s grooming line, and operates Betr, a sports-betting app. His younger brother Jake Paul has moved into venture capital through Anti Fund, which has invested in firms such as OpenAI, Anduril, Ramp, and Cognition. Jake also runs his own grooming line and a combat sports media brand.

Together, the Paul brothers represent YouTube’s move from content monetization to multi-sector ownership.

Ryan Kaji:

Ryan Kaji, the 13-year-old behind Ryan’s World, remains one of YouTube’s highest earners. His toy and merchandise line, distributed by Walmart and Target, brought in roughly $250 million in 2020.

The brand has expanded into a television show, publishing, and an educational app, all managed by his family. Ryan’s World now functions like a children’s entertainment studio, making it one of YouTube’s most enduring businesses.

Rosanna Pansino:

Rosanna Pansino, known for her pop-culture baking tutorials, has turned her “Nerdy Nummies” concept into a durable business. Her product line includes cookbooks, baking tools, and kitchen accessories sold on Amazon and in major retailers.

Pansino’s strategy has become a model for other creators in the culinary space. Andrew Rea, known as Babish, launched Babish Cookware in 2021, while comedy duo Rhett & Link expanded into consumer goods with MishMash Cereal.

Michelle Phan:

Michelle Phan built one of YouTube’s first true creator empires. After gaining fame in 2007 for her makeup tutorials, she co-founded Ipsy, a beauty subscription service valued above $1 billion, and later launched EM Cosmetics, which continues to grow independently.

Phan’s early success showed that creators could build long-term companies by using their channels as launch platforms, not income sources — a blueprint the next generation would follow.

Huda Kattan:

Huda Kattan, founder of Huda Beauty, started uploading makeup videos in 2010. By 2024, her company was generating between $400 million and $500 million annually in sales.

She bought back the minority stake held by TSG Consumer Partners last year to regain full control of her brand. Kattan now oversees one of the world’s largest independent beauty companies, built entirely from her social media influence.

Other Creators Follow the Model

Several other YouTubers have followed similar paths. Jacksepticeye launched Top of the Mornin’ Coffee, while Philip DeFranco started Wake & Make Coffee, joining the wave of creators turning audiences into customers.

The trend has also spread to cookware, gaming, and education — all industries once dominated by traditional brands, now reshaped by creator-owned businesses.

YouTube as the Launchpad, Not the Product

YouTube remains central to discovery, but not to profit. For creators like MrBeast, Chamberlain, the Paul brothers, Kaji, and Kattan, the platform is now a marketing engine for their broader companies.

Advertising revenue may still exist, but it no longer defines success. The new model is ownership — of products, data, and audiences — and it’s reshaping what it means to be a YouTuber in 2025.

Also Read: Elon Musk Says Tesla’s Optimus Could ‘Eliminate Poverty’ After Record $1 Trillion Pay Approval

Key Highlights of Tesla’s Optimus Robot

At Tesla’s annual shareholder meeting in Austin, Texas, CEO Elon Musk outlined one of his most ambitious predictions yet: that his company’s humanoid robot, Optimus, could end poverty and make working optional.
The remarks came just minutes after shareholders approved Musk’s $1 trillion performance-based pay package, the largest in U.S. corporate history.

Musk Links Optimus to Economic Transformation

Musk said the Optimus program, still in the design and prototype stage, could one day perform the majority of human labor — allowing people to live comfortably without jobs.

“There’s only one way to truly eliminate poverty, and that’s with the Optimus robot,” Musk told shareholders.
“In a benign future, everyone will have a universal high income, and work will become optional.”

Musk said the robots could increase the global economy’s output tenfold — possibly even a hundredfold — once they enter mass production.
He described Optimus as a “force for good” capable of reshaping the balance between labor, productivity, and wealth creation.

Optimus: From Stage Demo to Core Tesla Project

Tesla first introduced Optimus in 2021 as a humanoid robot concept designed to perform repetitive or dangerous physical tasks.
Early prototypes, demonstrated over the past year, have been shown walking, sorting objects, and mimicking human gestures.
At the shareholder meeting, Tesla presented a short clip of Optimus performing simple movements, such as dancing and distributing candy to employees.

According to Musk, each robot will eventually cost between $20,000 and $30,000, a price point he claims would make them accessible to factories, businesses, and even households.
He said that in time, Tesla could sell up to one million units per year, forming a new pillar of the company’s revenue alongside electric vehicles and autonomous systems.

Shareholders Endorse Musk’s Vision

The same meeting that featured the Optimus pitch also saw investors approve Musk’s record pay deal.
The package, which ties Musk’s potential earnings to company milestones rather than cash payouts, could unlock as much as $1 trillion in Tesla stock if the automaker meets aggressive performance goals.

The compensation plan was originally adopted in 2018 but was paused following legal challenges. Tesla’s board revived the proposal this year, warning that losing Musk’s leadership could jeopardize the company’s future.
Roughly 75% of shareholders voted in favor of reinstating the plan, signaling strong confidence in Musk’s long-term direction.

‘AI That Can Work’

Musk contrasted Optimus with existing artificial intelligence models, saying that while AI software can enhance human productivity, embodied AI — robots that can physically operate in the world — could multiply it exponentially.

“There’s a limit to how much AI can help people work faster,” he said. “But there’s almost no limit to what AI can do when it can work itself.”

Tesla’s humanoid project uses technology derived from its Autopilot and Full Self-Driving software, allowing Optimus to interpret surroundings and navigate autonomously.
Musk has said the company’s next generation of AI chips and neural networks will be trained to control millions of robots operating in real-world environments.

A Future Without Work — and Its Risks

Musk described a “benign” version of the future, in which AI and robotics make scarcity obsolete and every person receives a “universal high income.”
But he also acknowledged the transition could be disruptive, saying that while abundance was possible, the path to it would be “traumatic and uneven.”

He even joked that Optimus could redefine law enforcement:
instead of imprisoning criminals, future robots might “follow you around and stop you from doing crime.”

Economists and technologists remain skeptical of such timelines.
Experts note that building reliable humanoid robots capable of general tasks is still years — if not decades — away, with Tesla’s prototypes performing only limited, preprogrammed actions.

AI and robots will replace all jobs.

Working will be optional, like growing your own vegetables, instead of buying them from the store.

— Elon Musk (@elonmusk) October 21, 2025

Tesla Turns Its Factory Into a Robotics Test Lab

Musk said Tesla is using its own production lines to train and refine the Optimus robots, turning the Austin Gigafactory into a testing ground for mechanical learning.
Early units have been seen moving parts and performing basic assembly movements alongside human workers.

He explained that Tesla’s car-making software — the same system that helps vehicles interpret surroundings for Autopilot — is being adapted to teach robots how to balance, recognize tools, and repeat motions safely.
By using live factory data, the company hopes to speed up how quickly the robots learn new physical tasks.

The most difficult challenge, Musk said, remains hand control. Engineers are still working on actuators and grip sensors that can handle small components with precision and durability.
Once that system is reliable, Musk said, Optimus will be ready for limited deployment inside Tesla’s own facilities before being sold publicly.

“Optimus is already doing light work in our plants,” Musk said. “When it can safely handle complex tools, we’ll move to production.”

Also Read: Elon Musk Wins Shareholder Approval for $1 Trillion Tesla Pay Plan

Key Points

Nvidia chief executive Jensen Huang said Friday that the company has no immediate plans to resume chip sales in China, closing the door for now on speculation that its new Blackwell processors might reach the Chinese market.

Speaking in Taiwan, Huang told reporters there were “no active talks” about reviving business with Chinese partners. “At this point, we’re not shipping anything to China,” he said. “It will depend on when the Chinese side is ready to see Nvidia products back in their market.”

His comments come amid rumors that Washington and Beijing’s recent cooling of trade tensions could allow Nvidia to reenter China with restricted hardware. But even as both governments signaled a thaw last month, U.S. President Donald Trump reiterated that Nvidia’s most powerful AI chips must stay with American firms and won’t be exported.

Huang has been open about how deeply U.S. restrictions have cut into Nvidia’s operations in China. In earlier remarks, he said the company’s local business had effectively disappeared, dropping from “about 95% share to zero” within a year.

“For planning purposes, we assume nothing from China,” Huang said at a Citadel Securities forum. “If that changes, it’ll just be upside for us.”

During last week’s GTC developers conference in Washington, Huang added that Chinese officials had made it clear they were not ready for Nvidia’s return. “I hope that position changes,” he said.

Nvidia shares slipped roughly 1.4% in early trading on Friday, extending a five-day decline of about 9% alongside other major technology stocks.

Also Read: Nvidia CEO Jensen Huang Clarifies Comment After Saying China Could Win AI Race

Huang’s comments drew attention after he was quoted as saying that “China is going to win the AI race,” a remark made on the sidelines of an AI industry summit. He reportedly pointed to China’s lower energy costs and fewer regulatory constraints as factors driving its rapid advancement in artificial intelligence.

Shortly after those remarks became public, Nvidia released a statement from Huang on social media, clarifying his position.

“As I have long said, China is nanoseconds behind America in AI,” Huang said. “It’s vital that America wins by racing ahead and winning developers worldwide.”

U.S. and China Remain Neck-and-Neck in AI

Huang has repeatedly described the AI race between the United States and China as being separated by “nanoseconds,” underscoring how closely matched the two nations are in computing power and innovation. He has argued that allowing Nvidia to sell its chips in China helps maintain American influence by ensuring China’s technology ecosystem remains tied to U.S. hardware and software.

That reasoning briefly gained traction in July when the U.S. government lifted restrictions on certain AI chip exports to China. However, the situation quickly changed as Beijing announced it would conduct a national security review of Nvidia’s chips, effectively halting their sale in the country.

Since then, Huang has confirmed that Nvidia’s market share in China has fallen to zero. Meanwhile, former U.S. President Donald Trump has reiterated that the company should not sell its most advanced chips to China.

China’s Policy Approach Gives It an Advantage, Says Huang

In his original comments, Huang suggested that Western nations — including the United States — are constrained by “cynicism” and heavy regulation surrounding artificial intelligence. He contrasted this with China’s approach, where the government offers energy subsidies that lower operational costs for companies developing or deploying AI models.

According to Huang, these policies allow China’s AI sector to scale faster and operate more efficiently, though he emphasized that American innovation still leads by a slim margin.

Nvidia’s Market Value Hits Record Levels

Nvidia has a major financial stake in the global expansion of AI. The company recently became the first in the chip industry to surpass a $5 trillion market capitalization, marking a new milestone for the sector.

Nvidia also announced a $1 billion investment in Nokia, part of its broader strategy to expand into telecommunications and networking technology.

The company’s shares have risen more than 41% this year, and are up over 1,200% in the past five years, driven by surging demand for its graphics processors that power most of the world’s AI training systems and data centers.

Huang Warns the U.S. Cannot Slow Down in AI Race

Huang said the United States still holds a narrow lead over China in artificial intelligence but cannot afford to slow its pace of development. He noted that China’s lower energy costs and strong state backing have helped its companies expand computing capacity faster.

He said America’s advantage lies in advanced chip design and research talent but warned that the lead could disappear without continued investment and policy support.

“The difference is measured in nanoseconds,” Huang said. “We have to keep pushing forward.”

Also Read: Top 3 AI Infrastructure Stocks Benefiting from Data Center Power Demands

Key Highlights of the Stellantis Jeep Recall

Stellantis has announced a major global recall affecting around 375,000 Jeep Wrangler 4xe and Grand Cherokee 4xe plug-in hybrid SUVs, citing a potential battery-related fire risk. Owners are being urged to park their vehicles outsideand refrain from charging them until a software and hardware remedy becomes available.

The recall includes 2020–2025 Jeep Wrangler 4xe and 2022–2026 Jeep Grand Cherokee 4xe models. The company said the fix is currently in its final validation phase and will be offered free of charge once approved by regulators.

Fire Incidents and Scale of the Recall

Stellantis confirmed 19 fire incidents associated with the affected vehicles, including one injury. Roughly 320,000 unitsare registered in the United States, with the rest located across Europe, Canada, and Asia-Pacific markets.

The company said most fires occurred while the vehicles were parked and turned off, underlining a potential battery pack defect rather than a driving-related issue. The recall marks one of Stellantis’ largest safety actions for plug-in models since the Jeep 4xe lineup debuted in 2020.

Root Cause and Supplier Involvement

The high-voltage batteries in question were manufactured by Samsung SDI, a key supplier to several global automakers. An internal investigation by both companies determined that separator damage within certain lithium-ion cells—combined with complex electrochemical interactions—can lead to thermal runaway under specific conditions.

This same defect type was identified earlier in 2024 when Stellantis recalled 154,000 plug-in Jeep vehicles. The company has since expanded diagnostic testing and introduced enhanced cell quality monitoring for future battery batches.

Repeat Repairs and Safety Advisory

Stellantis noted that some vehicles previously repaired under earlier recall campaigns will require another fix, as recent fire reports show that software updates alone may not fully eliminate the underlying risk.

Until the corrective parts and updated software are available, the automaker continues to advise owners not to charge the vehicles and to park away from buildings or enclosed areas.

The National Highway Traffic Safety Administration (NHTSA) is monitoring the recall rollout to ensure compliance and transparency in customer notifications.

Stellantis Investigation

Stellantis confirmed that its internal investigation, conducted alongside battery supplier Samsung SDI, traced the fire risk to separator damage within certain battery cells used in Jeep Wrangler 4xe and Grand Cherokee 4xe models. The company said a permanent repair procedure is being finalized and will be rolled out through dealerships in coordination with regulatory authorities.

Vehicles repaired under previous recalls in 2023 and 2024 will also receive updated software and battery diagnostics to ensure safety compliance. Stellantis is notifying affected owners directly and offering free inspection and repair services once the fix is approved. The automaker emphasized that these actions form part of its broader effort to enhance quality control in its electrified vehicle production lines.

Stellantis Response and Recall Process

Stellantis said it is working with Samsung SDI to finalize a verified repair process addressing the battery defect identified in Jeep Wrangler and Grand Cherokee 4xe models. The company plans to begin notifying owners later this month, followed by a phased repair rollout through authorized Jeep dealers.

According to documents submitted to U.S. safety regulators, Stellantis will provide free battery inspection, replacement if required, and updated software to prevent future incidents. Vehicles repaired during prior recalls will also undergo re-evaluation to confirm that previous fixes remain effective.

The automaker stated that the recall procedure is being coordinated with the National Highway Traffic Safety Administration (NHTSA) and that detailed service instructions will be issued once testing of the corrective measure is complete.

Also Read: Tesla Recalls Over 63,000 Cybertrucks Due to Excessive Front Light Brightness

The new system, launched Monday, will be integrated into SLB’s existing suite of digital applications and platforms. Telaenables users to interact through a conversational interface and can operate either autonomously or in collaboration with human experts. Its functions include interpreting well logs, predicting drilling challenges, and optimizing equipment performance.

Rakesh Jaggi, SLB’s President of Digital & Integration, said the company views artificial intelligence as a core component of its long-term growth.

“We’ve been very successful with our AI initiatives over the years, and digital will remain an integral part of SLB’s success for decades to come,” Jaggi told Reuters.

SLB’s Tela platform embeds AI directly into its oilfield software, allowing operators to automate analysis, anticipate drilling problems, and improve equipment performance.

SLB’s digital segment has become one of its fastest-growing divisions, with revenue climbing 11% in the third quarter compared to the previous quarter. The company began reporting its digital business as a standalone unit earlier this year and expects double-digit annual growth for the segment moving forward.

Also Read: Google and Reliance to Offer Free 18-Month AI Pro Access to Jio Users in India

The letter, sent on Thursday and signed by Representatives Jimmy Panetta, Ami Bera, Salud Carbajal, and Julie Johnson, called on the president to suspend the September 19 order titled “Restriction on Entry of Certain Nonimmigrant Workers.” The new rule significantly raises the cost of hiring foreign professionals and adds tighter restrictions on visa applications.

“The H-1B programme is vital for the U.S. economy, our national security, and our relationship with India,” the lawmakers wrote. “The new fee and restrictions will only push away the talent that keeps America competitive.”

The H-1B visa allows U.S. companies to hire skilled professionals from other countries in fields such as engineering, information technology, medicine, and scientific research. Indian nationals make up nearly 71 percent of all H-1B visa holders, and many of them work in key American companies, universities, and startups.

Congressman Ami Bera, who co-chairs the Congressional Caucus on India and Indian Americans, said the new fee would discourage top professionals from applying and hurt sectors like artificial intelligence, cybersecurity, and biotechnology.

“At a time when other countries are working hard to attract skilled talent, the United States should not be putting up barriers,” Bera said.

Congressman Jimmy Panetta said the new policy will harm smaller companies the most. “Startups and research institutions depend on international talent to grow. A $100,000 fee will shut them out completely,” he said. “This rule doesn’t protect American workers — it only makes innovation harder.”

The lawmakers also warned that the decision could affect U.S.–India relations, which have grown stronger in technology, defense, and education. They said Indian professionals contribute not only to American innovation but also to community life and local economies across the United States.

“Inviting skilled workers from India has always strengthened our democratic partnership,” the letter said. “Restricting that exchange will send the wrong signal to a trusted ally.”

The Trump administration has argued that the higher fee will protect U.S. workers by discouraging companies from relying on foreign labor. But many experts and business groups disagree. They say that American firms use H-1B visas mainly to fill jobs that are hard to find locally, such as advanced engineering and computer science roles.

Economists also warn that the new rule could lead to higher costs for businesses, delayed projects, and even job lossesin industries that depend on specialized talent. Technology companies have already expressed concern that the U.S. might lose its competitive edge if top talent chooses to move to other countries like Canada, the U.K., or Australia, where immigration rules are more welcoming.

Several organizations, including chambers of commerce and research institutions, have called for the rule to be withdrawn or modified. They argue that instead of imposing steep fees, the government should focus on improving oversight, preventing visa misuse, and supporting training for both American and foreign workers.

The lawmakers’ letter ends with a direct appeal to President Trump to cancel the September 19 order and work with Congress on a fair reform plan that protects U.S. workers without harming the country’s long-standing advantage in science and technology.

“This is about keeping America strong in the industries that define the future,” the lawmakers wrote. “We need policies that attract talent, create jobs, and strengthen our global leadership — not drive it away.”

Also Read: Trump Introduces $1M Gold & $5M Platinum Investor Visas for U.S. Residency

The partnership places Google in direct competition with Perplexity AI, which recently tied up with Bharti Airtel to provide free access to its paid Pro version. Both alliances signal how telecom networks in India are becoming a key entry point for global AI companies looking to reach large consumer bases.

Offer Details and Rollout Plan

The free plan includes full access to Gemini 2.5 Pro, Google’s top AI model, along with image and video generation tools (Nano Banana and Veo 3.1), extended features in Notebook LM for students and researchers, and 2 TB of cloud storage shared across Google Drive, Gmail, Photos, and WhatsApp backups.

The rollout will begin with Jio users aged 18–25, before expanding to all subscribers nationwide.
Google said the offer carries a total value of ₹35,100 ($396) — equivalent to 18 months of the paid plan, which normally costs ₹1,950 per month in India.

Enterprise and Cloud Partnership

Alongside the consumer offer, Google is deepening its enterprise partnership with Reliance.
Reliance’s new AI subsidiary, Reliance Intelligence, will act as a key partner for Google Cloud to promote Gemini Enterprise to Indian businesses. The plan includes access to Google’s Tensor Processing Units (TPUs) within India and the development of localized AI agents for business applications.

“Today’s collaboration will bring Google’s most advanced AI systems into everyday use across Indian consumers and companies,” said Sundar Pichai, CEO of Google and Alphabet.

At its August annual meeting, Reliance said it would jointly invest ₹8.55 billion ($100 million) with Google and Meta to build AI infrastructure through Reliance Intelligence, where Reliance holds a 70% stake.

India Becomes the Battleground for AI Platforms

The partnership arrives just as OpenAI prepares to make its ChatGPT Go plan free for all users in India starting November 4.
OpenAI, Anthropic, and Google have all expanded operations in the country this year, viewing India’s vast user base and growing digital economy as a critical market for testing and refining their AI platforms.

Earlier this year, Google offered a free one-year AI Pro subscription to Indian students, which ended in September. That pilot program helped the company gauge local demand for premium AI tools before the current Jio rollout.

Ambani’s Vision for AI in India

Reliance Chairman Mukesh Ambani said the goal is to ensure AI tools are available to all, not just large enterprises.
“Through our partnership with Google, we want to make India AI-empowered — where intelligent tools are part of daily work, learning, and innovation,” Ambani said.

The companies said the initiative will eventually extend beyond mobile users to cover small businesses and education institutions using Jio services.

Also Read: Gemini 2.5 Deep Think AI Model Now Available

Speaking to reporters aboard Air Force One, Trump confirmed that the two leaders “did discuss chips” but stressed that “we’re not talking about the Blackwell.” He added that Beijing and Nvidia would “keep talking” about access to less-advanced processors already cleared for sale.

U.S. Export Rules Still Intact Despite Trump-Xi Chip Talks

Trump’s clarification followed comments a day earlier suggesting he would review Nvidia’s product access to China. That earlier remark triggered a brief rally in chip stocks and pushed Nvidia’s market value past $5 trillion for the first time.

Investors had taken it as a sign that Washington might approve downgraded versions of Blackwell chips for Chinese buyers — a reversal of restrictions imposed in 2022 to limit China’s access to advanced AI hardware.

The Blackwell series, unveiled earlier this year, delivers several times the computing power of Nvidia’s current export-approved H20 chips. US officials have blocked sales of the top-end versions over fears they could enhance China’s military or surveillance capabilities.

Beijing Blocks Use of U.S.-Approved Nvidia Chips

Even where Washington has allowed exports, Beijing has discouraged state-linked firms and research labs from using Nvidia’s processors. Authorities have instead urged the adoption of domestic chips made by companies such as Huawei Technologies, citing data-security concerns.

“The president has licensed us to ship to China, but China has blocked us from being able to ship to China,” Nvidia Chief Executive Jensen Huang said this week in Washington. “They’ve made it very clear they don’t want Nvidia to be there right now.”

Unclear Framework for Future Sales

The Trump administration has approved limited exports of Nvidia’s H20 processors but has not disclosed shipment volumes or future licensing plans. Nvidia wrote down billions of dollars in expected revenue after earlier curbs and has since removed China from its official sales forecasts.

Trump has also proposed an unusual plan for the US government to take a 15 percent cut from Nvidia’s China revenue — a move without an established legal structure. “We’re sort of the referee,” he said of the talks with Xi. “But that’s really between China and Nvidia.”

Blackwell’s Future Still Unsettled

Trump previously said he might allow Nvidia to sell a reduced-performance version of the Blackwell chip, “30 to 50 percent slower” than the domestic model. Nvidia has not filed any export requests for such a product, and no technical details have been finalized.

The company argues that limited exports could help preserve US influence in global chip standards by keeping Chinese firms dependent on American systems. National-security officials, however, remain divided, with some warning that even downgraded Blackwell models could strengthen China’s AI sector.

Also Read: Nvidia Becomes World’s Most Valuable Company After Reaching $5 Trillion Market Cap

On Wednesday, Nvidia’s shares climbed to $207.86 in early U.S. trading, giving the company a total market capitalization of about $5.05 trillion. The surge pushed it past Apple and Microsoft, making it the world’s most valuable listed firm. Its valuation now exceeds the combined annual output of Japan and the United Kingdom, according to IMF data.

Nvidia’s Dominance in AI Hardware

Nvidia’s growth is fueled by insatiable global demand for its high-performance chips, which power everything from large language models to advanced data centers. Its processors—particularly the H100 and new Blackwell chips—have become essential infrastructure for companies building AI products, giving Nvidia an unmatched position in the global tech supply chain.

Industry analysts estimate that more than 90% of AI training workloads rely on Nvidia hardware, creating a near-monopoly in high-end computing. The company’s revenue has multiplied over the past two years, with margins far exceeding those of traditional semiconductor peers such as AMD and Intel.

$500 Billion in Long-Term Chip Orders

Nvidia disclosed it has received over $500 billion in confirmed chip orders from cloud providers, research institutions, and government agencies. These contracts, spanning several years, secure supply of its next-generation AI processors amid ongoing shortages.

Chief Executive Jensen Huang said most orders focus on Nvidia’s H100 and Blackwell architectures, which are optimized for large-scale AI training and inference. Analysts say the volume of advance bookings shows customers are locking in capacity early to avoid another wave of hardware scarcity.

Nvidia’s chips are also expanding into medical research, renewable energy modeling, and autonomous vehicle development, broadening its customer base beyond major cloud players like Amazon, Microsoft, and Google.

Strategic Partnerships and Investments

To consolidate its lead, Nvidia has announced several new partnerships and investments across key technology sectors.

• 6G Collaboration with Nokia: Nvidia will invest $1 billion to co-develop 6G network technologies, combining its GPU expertise with Nokia’s telecom infrastructure. Field tests with major mobile operators are expected by 2026.

• Autonomous Mobility with Uber: The company signed an agreement with Uber to design next-generation robotaxi systems, integrating Nvidia’s DRIVE platform for real-world deployment.

• U.S. Department of Energy Supercomputers: Nvidia will build seven AI supercomputers for federal research in climate modeling and energy innovation.

• $100 Billion Data Center Project with OpenAI: Nvidia plans to co-fund new AI data centers with a combined 10 gigawatts of compute capacity, dramatically expanding OpenAI’s ability to train and serve models at scale.

Trade Tensions With China Pose Ongoing Risks

Despite its dominance, Nvidia faces persistent challenges from U.S.–China trade restrictions. Washington’s export controls continue to block shipments of its most advanced GPUs to Chinese firms, forcing Nvidia to design compliant alternatives such as the H20 series.

In August, CEO Jensen Huang confirmed discussions with the Trump administration about developing export-approved chips that maintain partial access to the Chinese market. Beijing, however, has responded with countermeasures, limiting purchases of certain Nvidia chips—a move analysts interpret as leverage in ongoing negotiations rather than a permanent embargo.

The geopolitical standoff underscores Nvidia’s delicate balance between policy compliance and global demand, as both Washington and Beijing seek control over AI hardware supply chains.

Regulators Warn of Market Overheating

Global financial authorities, including the IMF and Bank of England, have cautioned that valuations in AI-related stocks may be outpacing real earnings growth. Nvidia’s price-to-earnings ratio remains among the highest in the sector, prompting concern about sustainability.

Yet, the company’s profitability and order visibility continue to reassure investors. Nvidia’s latest quarterly report showed record revenue growth and industry-leading operating margins—metrics that suggest the company’s current valuation, while steep, is underpinned by concrete demand rather than pure speculation.

Nvidia Takes Lead in Global Tech Rankings

Nvidia’s rise above Apple and Microsoft marks a major realignment in the global technology market. The company’s strength comes from its dominance in advanced computing hardware that underpins artificial intelligence, cloud infrastructure, and scientific research.

Its processors are now standard in data centers operated by Google, Amazon, and Microsoft, as well as in research projects involving healthcare, energy, and national defense. This broad dependence on Nvidia’s chips gives the firm an unmatched presence across the technology supply chain and highlights how central AI computing has become to the global economy.

Also Read: Nvidia Receives Dozens of Site Offers for Planned AI Campus in Israel

Key Points

• ➤ Microsoft invested $1 billion in OpenAI in 2019, combining cash and Azure cloud credits when OpenAI was still a nonprofit research group.
• ➤ Bill Gates reportedly warned CEO Satya Nadella that the move could fail, given the uncertainty around early artificial intelligence research.
• ➤ The investment led to the creation of OpenAI’s limited-profit structure, allowing commercial partnerships and broader funding opportunities.
• ➤ Microsoft has since poured in over $13 billion and now owns about 27% of OpenAI’s for-profit arm, valued at around $135 billion.
• ➤ All OpenAI systems, including ChatGPT, are powered by Microsoft’s Azure cloud infrastructure for training and deployment.
• ➤ OpenAI’s technology now drives Microsoft’s Copilot features across Bing, Office, and Windows, blending AI with everyday software.
• ➤ ChatGPT attracts over 800 million weekly users worldwide, making it one of the fastest-growing digital platforms in history.
• ➤ Despite its global growth, OpenAI remains guided by a nonprofit board through the OpenAI Foundation to ensure balanced oversight.

Microsoft made its first $1 billion investment in OpenAI in 2019, just four years after the AI startup was founded. At the time, OpenAI was still a nonprofit organization with limited commercial traction. According to Nadella, securing approval for such a large investment required convincing both Microsoft’s leadership and board members of the technology’s long-term potential.

“Even at Microsoft, you have to get board approval to spend a billion dollars,” Nadella said in an interview with TPBN, a technology-focused YouTube channel. “It wasn’t easy, but we knew this was an important area for the future, even if it carried risk.”

Nadella recalled that Bill Gates, Microsoft’s co-founder, was initially cautious about the plan. “This was a nonprofit back then,” Nadella said. “Bill even told me, ‘You’re going to burn this billion dollars.’ But we had a high risk tolerance and wanted to give it a real shot.”

Since then, Microsoft has invested more than $13 billion in OpenAI, becoming the company’s largest backer and its exclusive cloud partner. The partnership has helped Microsoft integrate generative AI into products such as Office, Bing, and Azure, positioning the company as a leader in the rapidly expanding AI sector.

OpenAI gained worldwide recognition in November 2022 after launching ChatGPT, a chatbot that quickly became a global phenomenon. The tool attracted over one million users within five days, fueling widespread public interest in generative AI.

Earlier this month, OpenAI completed a major corporate restructuring. Its nonprofit foundation now oversees a new public benefit corporation, OpenAI Group PBC, which manages its for-profit operations. Microsoft currently holds a 27% stake in OpenAI’s commercial business, valued at about $135 billion.

At OpenAI’s annual DevDay conference on October 6, CEO Sam Altman announced that more than 800 million people now use ChatGPT weekly. Microsoft’s share price has climbed nearly 29% this year, reflecting investor confidence in its AI-driven growth strategy.

Also Read: Top 3 AI Infrastructure Stocks Benefiting from Data Center Power Demands

In a letter sent Monday, Denholm said Musk’s leadership remains essential to Tesla’s growth and that the plan is designed to secure his long-term commitment as the company scales its artificial intelligence and autonomous driving operations.

“If we do not secure Elon’s commitment through this plan, we risk losing his time, talent, and vision,” Denholm wrote.

The vote will take place at Tesla’s annual shareholder meeting on November 6, a pivotal event for both Musk’s future and the company’s governance.

New Pay Package Tied to $8.5 Trillion Valuation Goal

Under the proposed plan, Musk would receive 12 tranches of stock options if Tesla hits specific milestones — including a market capitalization target of $8.5 trillion and major advancements in AI, robotics, and autonomous technology.

Denholm said the plan’s structure ensures Musk’s compensation depends on Tesla’s long-term performance and that it aligns his incentives with shareholders’ interests.

She added that Musk’s involvement is vital as Tesla transitions from an electric vehicle manufacturer into a broader AI-driven technology company.

Tesla Board Under Pressure After Court Ruling

Tesla’s board is again under pressure to prove it can operate independently of Elon Musk. Earlier this year, a Delaware judge voided Musk’s 2018 compensation plan, ruling that the deal was approved by directors too closely tied to him.

In response, Chair Robyn Denholm said the revised pay proposal was built under stricter oversight and clearer performance criteria. She added that the board followed a formal review process to avoid past missteps while keeping Musk focused on Tesla’s next stage of expansion.

Tesla Chair Seeks Backing for Key Board Members

Denholm also urged investors to back three veteran board members up for re-election, noting that their oversight has been central to Tesla’s global expansion and ongoing AI and energy projects.

She said their continued presence on the board would help maintain stability and decision-making speed as the company scales manufacturing and competes with new entrants in electric vehicles and autonomous technology.

Musk’s Expanding Ventures Raise Investor Concerns

Elon Musk’s expanding list of ventures — from SpaceX and X (formerly Twitter) to Neuralink and xAI — has prompted growing concern among Tesla shareholders about how much time and focus he can dedicate to the company. Musk insists he can manage several businesses at once, but his increasing attention to AI and social media has left investors questioning where Tesla fits in his priorities.

In her letter, Chair Robyn Denholm warned that if shareholders reject the proposed $1 trillion compensation plan, Musk’s involvement in Tesla could decline at a critical point in its growth. The company is scaling its efforts in self-driving technology, robotics, and advanced manufacturing — areas that depend on Musk’s direct guidance and long-term commitment.

Some investors fear that without a clear incentive to keep Musk’s focus on Tesla, strategic projects could slow while his other companies absorb more of his attention.

The November 6 shareholder vote will test investor confidence in Musk’s leadership and determine whether Tesla can keep him fully engaged as rivals accelerate their own electric and AI-driven technologies.

Also Read: Tesla Recalls Over 63,000 Cybertrucks Due to Excessive Front Light Brightness

Key Highlights

• AI racks consume 20–40 kilowatts, with new designs targeting 50–100 kilowatts or more.
• Power constraints favor infrastructure companies over software optimization.
• Vertiv provides advanced cooling systems for high-density AI racks with air and liquid cooling.
• Eaton’s power distribution equipment manages sudden GPU surges and maintains grid-to-chip stability.
• Quanta builds transmission lines and substations essential for AI data center energy supply.
• Infrastructure costs occur before GPUs are installed, giving companies early revenue visibility.
• AI power bottlenecks are ongoing; electricity and cooling remain essential for all future workloads.

Artificial intelligence (AI) is creating a power problem that software alone cannot solve. Modern AI systems, such as racks built around Nvidia H100-class processors, typically consume 20 to 40 kilowatts per rack, with emerging designs aiming for 50 to 100 kilowatts or more, often requiring liquid cooling. These energy demands are forcing hyperscale operators to select data center sites based on grid capacity rather than traditional factors like tax incentives or fiber connectivity. Utilities are scrambling to upgrade transmission infrastructure that was never designed to handle such concentrated industrial power loads.

This challenge is producing opportunities for infrastructure companies that supply the essential backbone for AI deployments. Thermal management specialists, electrical distribution equipment makers, and grid construction contractors are securing business tied directly to AI’s energy requirements—costs that exist regardless of which chip architecture dominates the market.

Thermal Management Specialist: Vertiv (NYSE: VRT)

Vertiv designs and manufactures thermal management systems, modular data center halls, and power distribution units specifically for high-density AI environments. Unlike traditional server racks that consume 5 to 15 kilowatts, AI racks demand advanced air and liquid cooling solutions. Vertiv’s systems ensure reliable operation for racks targeting 20 to 100 kilowatts.

The company’s Q3 2025 results highlighted strong performance, driven by order backlogs tied to AI infrastructure. The equipment model provides long-term revenue visibility, as cooling systems require ongoing maintenance, replacements, and support, while hyperscalers, colocation providers, and enterprise customers continue expanding AI deployments.

Electrical Distribution Leader: Eaton (NYSE: ETN)

Eaton manufactures power distribution equipment, backup systems, and control software for industrial and commercial clients, including data centers. Its offerings include uninterruptible power supplies, switchgear, and rack-level power distribution units.

Eaton recently introduced detection and control systems to manage sudden power surges when hundreds of GPUs activate simultaneously—a phenomenon not seen in traditional server operations. By providing end-to-end solutions from utility feed to rack, Eaton gains a competitive advantage in complex AI builds, while recurring service needs for major electrical equipment add multiyear revenue.

Grid Infrastructure Builder: Quanta Services (NYSE: PWR)

Quanta Services specializes in building high-voltage transmission lines, substations, and transformers, delivering the power infrastructure utilities need to supply hyperscale AI campuses. Its projects ensure that data centers can operate at high density without energy shortages.

Quanta’s revenue growth and 2025 outlook are tied to grid modernization contracts, often completed months or years before GPUs are installed. The multiyear timelines of these projects give Quanta visibility well beyond the initial AI deployment phase.

The AI Power Advantage

While these three stocks operate in different parts of the energy chain—Vertiv in cooling, Eaton in distribution, Quanta in transmission—the underlying physics ensures demand. AI systems require electricity and cooling before software can run.

This constraint is not temporary. As AI workloads expand and new architectures emerge, power delivery and thermal management remain unavoidable bottlenecks. Companies providing these services capture spending that occurs before processors are even installed, making them central to the AI growth story.

Also Read: Investing in Netflix Stock in 2025 Could Make You a Millionaire

The offer values each share at $18, representing a 51% premium over the stock price before the announcement. The news caused Grindr’s shares to surge more than 22% in immediate trading. The shareholder group has already secured significant financing commitments, including multiple equity contributions and strong letters of intent, signaling that the buyout could move forward without funding obstacles.

Founded in 2009, Grindr has grown into a globally recognized platform serving millions of users in over 190 countries. The app has long been a central space for LGBTQIA+ dating and social networking, combining geolocation features with a user-friendly interface that has kept it relevant for more than a decade.

Zage and Lu originally acquired Grindr in June 2020, taking an active role in its strategic development. They led the company’s public listing in November 2022 and have maintained positions on the board since then, with Lu serving as chairman. The proposed privatization would give them more direct control over Grindr’s operations, potentially allowing for more agile decision-making and long-term strategic planning.

The proposed buyout comes at a time when Grindr, along with other major dating platforms, faces challenges in maintaining user growth. Companies like Tinder and Bumble have reported slower additions of new users, as many younger users are experimenting with smaller, specialized dating apps that focus on niche interests or use advanced matchmaking algorithms. This shift in user behavior has put pressure on established apps to innovate and retain engagement.

If the privatization deal goes through, Grindr’s leadership would gain more direct control over the company’s operations. Freed from the scrutiny and short-term expectations of public markets, the management could focus on long-term strategies such as expanding features, improving user privacy and safety, enhancing the app’s interface, and exploring new monetization options tailored to its global LGBTQIA+ audience.

Also Read: Grindr Owners Plan $3B Buyout of LGBTQ+ Dating Platform

The National Highway Traffic Safety Administration (NHTSA) confirmed that no crashes, injuries, or fatalities have been linked to this lighting defect. Tesla is addressing the problem with a free over-the-air software update that will automatically adjust the brightness.

NHTSA Investigates Tesla Full Self-Driving Incidents

The NHTSA is reviewing 58 reported cases in which Tesla vehicles using Full Self-Driving (FSD) allegedly ran red lights or drove on the wrong side of the road. These incidents resulted in more than a dozen crashes, several vehicle fires, and nearly two dozen injuries.

The probe examines whether Tesla’s FSD software meets federal safety standards, especially as the company plans to roll out over-the-air updates for millions of vehicles. Regulators are assessing if the software can reliably handle complex traffic situations without human intervention.

Previous Cybertruck Recall

In March 2025, Tesla recalled nearly 46,000 Cybertrucks due to a defect with exterior panels along the windshield. The panels could detach while driving, creating hazards for surrounding vehicles. These multiple recalls highlight ongoing challenges in Tesla’s rollout of new Cybertruck models.

Tesla Reports Fourth Straight Quarterly Profit Decline

Tesla posted third-quarter 2025 earnings of $1.4 billion, or 39 cents per share, down 37% from $2.2 billion, or 62 cents per share, in the same quarter last year. This marks the fourth consecutive quarter of falling profits for the company.

Revenue rose to $27.8 billion, driven in part by customers purchasing vehicles before the $7,500 federal EV tax credit expired on October 1, 2025. Tesla warned that while total sales increased, profit margins were affected by production costs, ongoing Cybertruck recalls, and software updates, which could limit earnings growth in upcoming quarters.

Federal Oversight of Tesla Cybertruck and FSD

The NHTSA is investigating Tesla after multiple Cybertruck recalls and reported incidents involving the Full Self-Driving (FSD) system. The agency is reviewing whether the vehicles meet federal safety standards for lighting, exterior panels, and autonomous driving features.

Tesla has issued software updates for affected vehicles and replaced defective hardware where necessary. So far, there have been no injuries or crashes linked to the current front light recall, according to NHTSA records.

Tesla’s Ongoing Focus

Tesla is implementing software updates and hardware fixes to resolve the Cybertruck front light recall and address safety concerns with its Full Self-Driving (FSD) system. Production of new Cybertrucks continues, with safety checks applied before delivery.

Competitors such as Rivian, Ford, and GM are actively releasing or preparing electric trucks, which increases pressure on Tesla to maintain safety, reliability, and timely deliveries.

Also Read: Tesla Registers “Model Y+” in China, Plans Longer-Range Electric SUV

Key Points

Cerebras Systems, a semiconductor company based in California, has introduced a processor that it says can complete model training and other large computing workloads up to 20 times faster than Nvidia’s chips. The claim comes as Nvidia maintains a dominant position in the high-performance processor market.

Cerebras said the processor, called the Wafer Scale Engine, is designed for large-scale computing systems used in research centers and industrial data facilities. The company described the product as a step toward reducing the cost and power required to train complex computational models.

Single-Wafer Processor Replaces Multi-Chip Design

In most data centers, performance depends on thousands of small processors connected through high-speed networks. Each processor exchanges information with others, which increases delay and raises energy requirements.

Cerebras has taken a different approach. Its new processor uses an entire silicon wafer as one continuous computing unit. The wafer contains hundreds of thousands of processing cores connected internally, allowing data to move across the surface without traveling through external cables.

According to the company, this structure eliminates the communication time between separate chips and reduces the power needed to transfer information. It also allows the entire system to fit within a single server rack instead of large clusters of processors.

Production Challenges May Limit Output

Producing a chip that covers a full wafer presents significant technical risks. Semiconductor yields generally fall as chip size increases, since a minor defect in one area can damage an entire wafer. Analysts say this could limit production efficiency and make the chips expensive to manufacture.

Cerebras has not released detailed performance data verified by independent testing. Industry analysts expect further information before assessing whether the company’s speed and power claims hold under commercial workloads.

Nvidia’s Market Advantage Remains Substantial

Nvidia continues to dominate the data-center processor market. The company’s products are widely used by cloud-service providers, research institutions, and industrial automation firms. Beyond hardware, Nvidia offers proprietary software tools that have become central to system development and optimization.

These software tools make it difficult for new manufacturers to replace Nvidia hardware. Many systems are designed and coded around Nvidia’s framework, which creates a high cost for switching to alternative platforms.

Industry Growth Creates Space for New Entrants

The overall market for advanced processors continues to expand as companies invest in computing capacity and automation. Industry reports project steady growth in demand for chips optimized for large data workloads.

That expansion leaves room for smaller manufacturers that focus on efficiency or specialized computing functions. Alphabet has developed its own processors for internal use, and other firms are pursuing customized chips for technical and industrial applications. Cerebras may compete in segments that prioritize energy savings and compact deployment over existing software compatibility.

Cerebras Funding and Market Status

Cerebras had prepared documents for a possible public offering but postponed the plan after closing a $1.1 billion funding round. The company said the additional capital would be used to expand production and build partnerships with technology customers.

The company remains privately held. Access to its shares is currently limited to venture capital funds and private investors. For public investors, exposure to the processor market remains through companies such as Nvidia (NASDAQ: NVDA), Advanced Micro Devices (NASDAQ: AMD), Taiwan Semiconductor Manufacturing (NYSE: TSM), Broadcom (NASDAQ: AVGO), and Micron Technology (NASDAQ: MU).

Cerebras Awaits Independent Testing Results

Cerebras said the new processor is now being supplied to selected research and industry partners for evaluation. Independent testing data has not yet been released.

Analysts following the semiconductor sector said the company’s performance claims will draw interest once verified results are published. Nvidia did not issue a statement regarding the announcement.

Also Read: OpenAI to Allow Adult Conversations in ChatGPT

The decision marks more than a policy change. It’s a recognition that sex — long one of the internet’s most profitable frontiers — has become impossible for AI firms to ignore. Since the first wave of generative models in 2022, adult-themed chatbots and image generators have quietly shaped user behavior, outpacing most “serious” applications in engagement.

Yet the space is littered with wreckage. Startups that leaned into explicit content have been hit by lawsuits, banned by payment processors, or accused of enabling deepfake abuse. Many found quick traction — and quicker controversy.

Altman, who spent years portraying OpenAI as a cautious innovator, framed the company’s shift as pragmatic rather than provocative. “We’re not the moral police of the world,” he said this week, adding that adults should have the same kind of freedom they already do with R-rated films or mature games. In practice, that means more conversational latitude for paying users, and tighter limits for teens.

The strategy also hints at a commercial motive. OpenAI is valued at roughly half a trillion dollars but, by its own admissions, still spends more than it earns. Expanding ChatGPT’s role from digital assistant to emotional companion could open a lucrative stream of recurring subscriptions — one that other AI firms have already exploited.

Research by Oxford’s China Policy Lab estimates nearly 30 million people actively use AI companions for romantic or sexual interaction. Those figures don’t include the millions who use mainstream bots like ChatGPT in similar ways. For many users, these systems offer affection, validation, or fantasy that real-world relationships can’t sustain.

But intimacy built on algorithms comes with a price. A lawsuit this year accused another chatbot company, Character.AI, of enabling an abusive dynamic between a fictional avatar and a teenage user — a tragedy that ended in suicide. OpenAI itself faces a similar case after the death of a 16-year-old. Each highlights the blurred line between comfort and harm when emotional labor is automated.

Developers know the demand is enormous. Some see it as the logical evolution of the web — personalization taken to its most private form. Others warn that once companies start building “desire” into code, it becomes difficult to set boundaries.

“It’s not just about erotic content,” said one AI ethicist who studies digital companionship. “It’s about what happens when we start teaching machines how to respond to human loneliness.”

The debate is hardly new. From the Greek myth of Pygmalion to films like Her, the fantasy of a perfect, obedient partner has always shadowed technological progress. What’s changed is that this fantasy is now interactive — typed, spoken, and recorded.

Altman once joked that OpenAI hadn’t “put a sexbot avatar in ChatGPT yet.” That was last summer. This fall, that line sounds less hypothetical.

Also Read: Grindr Owners Plan $3B Buyout of LGBTQ+ Dating Platform

Windows 11 Copilot – Key Features

Microsoft is introducing a major update to Windows 11 that integrates artificial intelligence directly into the operating system, aiming to make every PC capable of responding to voice commands and assisting users in real time. The centerpiece of this upgrade is Windows Copilot, which combines voice interaction and screen analysis to perform tasks across apps and files. Microsoft is promoting the update with the tagline: “Meet the computer you can talk to.”

The new Copilot Voice feature allows users to start commands by saying, “Hey, Copilot,” followed by a request. When combined with Copilot Vision, the assistant can analyze content displayed on the screen to provide specific answers or carry out actions. All actions require user permission, and the software continuously informs users of its activity, allowing them to take control or stop tasks at any moment.

In practical demonstrations, Microsoft has shown several examples of Copilot in action. Users can ask the assistant to identify the model of a microphone in a video, generate a spoken biography for a professional portfolio, or suggest ways to improve audio settings in apps like Spotify. Additionally, Copilot Actions, available in preview, allows users to manage files on their PC, such as reorienting photos or deleting duplicates, through simple voice or typed commands.

For users who cannot speak commands in public spaces, Copilot also responds to typed requests, displaying answers on the screen instead of speaking them aloud. Microsoft is also expanding Copilot to Xbox consoles, giving players real-time advice and tips during gameplay.

The update builds on Microsoft’s ongoing software development and its partnership with OpenAI, which has already supported enhancements in the company’s enterprise and cloud offerings. With these Windows 11 improvements, Copilot can now assist with everyday PC tasks, from managing files to analyzing content on-screen.

Compared with competitors, Microsoft’s integration of Copilot on Windows 11 is more extensive. Apple’s Siri and related AI services remain limited in scope, whereas Copilot combines voice, screen analysis, and task management in a single tool. The official end of support for Windows 10 may also encourage users to upgrade to Windows 11, increasing the potential reach of these features.

It is not yet clear how many consumers will purchase new PCs specifically for Copilot’s capabilities rather than general hardware improvements. Nonetheless, the update introduces a set of practical tools designed to streamline common tasks and make interactive computing more efficient.

Also Read: Visa Launches Trusted Agent Protocol for Secure AI Payments

The framework is available through GitHub and the Visa Developer Center for developers and merchants. It enables authorized AI agents to share encrypted information that confirms their identity and purchasing intent, helping retailers distinguish genuine AI-assisted customers from malicious bots.

Visa reported that AI-generated traffic to U.S. retail websites increased by more than 4,700% over the past year. Around 85% of shoppers who have used AI tools for online buying described their experience as positive. The company said the rise of AI-assisted shopping has created new challenges for merchants, including false bot detections that block real transactions and the need to link each AI agent’s activity to an identifiable customer.

The Trusted Agent Protocol allows merchants to receive agent-specific cryptographic signatures containing essential details such as the buyer’s identity, the agent’s purpose, and payment information. This process supports both guest and registered checkouts while preserving transparency into who is behind each transaction.

Visa worked with several global partners during development, including Microsoft, Stripe, Shopify, Coinbase, Adyen, Fiserv, Checkout.com, Ant International, Nuvei, Elavon, CyberSource, and Worldpay. The company said the system is compatible with HTTP Message Signature standards and aligns with Web Both Auth specifications.

According to Jack Forestell, Visa’s Chief Product and Strategy Officer, the goal is to ensure AI systems are held to the same security standards as human-initiated transactions.

“Sellers should be able to trust AI agents as much as they trust their best customers,” Forestell said. “We have focused on creating a no-code method that lets merchants identify legitimate agents and process secure, personalized payments.”

Visa is also working with Coinbase on interoperability with the x402 protocol and plans to align its Trusted Agent Protocol with the emerging Agentic Commerce Protocol.

Earlier this year, Visa began testing a stablecoin prefunding pilot through its Visa Direct platform, expanding its payment network to handle faster, programmable digital settlements.

Also Read: Visa and Mastercard Slash Swipe Fees: What it Means for US Banks

Founded in 2020 by Naman Pushp, who was 15 at the time, Airbound is designing a drone called the TRT that uses a vertical “tail-sitter” launch system and a blended-wing-body frame made of carbon fiber. Unlike conventional quadcopters, this design allows the drone to take off like a rocket and fly efficiently like a fixed-wing aircraft, significantly reducing energy use.

Airbound Targets Ultra-Low-Cost Drone Deliveries

Airbound aims to cut delivery costs to as low as one cent per parcel, a sharp reduction compared with conventional electric two-wheeler deliveries in India. Most delivery bikes weigh around 150 kilograms while carrying payloads under 3 kilograms, consuming roughly $0.02 per kilometer in energy.

The startup’s TRT drone weighs just 3.3 pounds and can carry up to 2.2 pounds, reducing total transport weight by approximately 30 times. This lower weight and its aerodynamic design significantly improve energy efficiency.

“Traditional drones and vehicles carry far more weight than needed for their payloads,” said CEO Naman Pushp. “We designed our drones to maximize lift and minimize energy per delivery.”

Airbound’s second-generation drone is expected to carry up to 6.6 pounds while weighing only 2.6 pounds. A prototype is planned for mid-2026, with full production targeted for early 2027.

Drone Design and Battery Efficiency

Airbound’s drones use a blended-wing-body design that removes unnecessary propellers, increasing lift and reducing the energy needed for flight. The aircraft runs on lithium-ion batteries, which last between 500 and 800 cycles, compared with 100–200 cycles for typical lithium-polymer batteries, lowering long-term operating costs.

Each drone currently costs about $2,000 to manufacture, with per-delivery energy costs around $0.27. The startup plans to reduce delivery costs to under $0.05 per parcel by the end of 2026.

Pilot Program and Production Expansion

Airbound has started a three-month pilot with Narayana Health in Bengaluru, delivering medical samples, blood tests, and other critical items at roughly ten deliveries per day. The startup plans to expand the drone service to quick commerce, food, and last-mile deliveries in urban areas.

Production is set to scale from one drone per day at its Bengaluru facility to over 100 drones daily, targeting 1 million deliveries per day by mid-2027. The company is also working with India’s Directorate General of Civil Aviation to secure regulatory approval for wider operations, including commercial deliveries across multiple sectors.

Funding and Team Expansion

Airbound has raised more than $10 million in total funding to date and employs a 50-member team specializing in engineering, manufacturing, and logistics. The recent $8.65 million seed round will be used to scale drone production, expand pilot programs, and optimize operations in preparation for broader commercial deployment.

Also Read: Google to Build $15B AI Data Center in India’s Visakhapatnam

The project, expected to roll out over the next five years, will include renewable power sources, high-speed fiber connectivity, and a local partnership with AdaniConneX and Bharti Airtel. The companies will jointly build and manage the facility, which aims to support India’s growing demand for cloud and AI computing.

Andhra Pradesh technology minister Nara Lokesh said the new center is part of a state plan to develop 6 gigawatts of data capacity by 2029. He added that Google’s investment would help attract more technology firms to the region and create long-term digital infrastructure.

“This is not just another investment,” Lokesh said. “It’s a foundation for a new tech economy that connects Andhra Pradesh with global AI innovation.”

Google’s Largest AI Infrastructure Bet in India

Google’s Visakhapatnam facility will be the centerpiece of its new AI and cloud expansion across South Asia — marking a shift from smaller regional data hubs to large-scale infrastructure within India itself.

Industry experts say the move highlights how the company is anchoring more of its global computing power closer to India’s fast-growing digital economy, as demand for cloud and AI services surges among local startups, enterprises, and government agencies.

Officials estimate that more than $10 billion of Google’s total planned investment will go directly into the Visakhapatnam data center. The rest will fund renewable energy projects and fiber networks needed to power and connect the site.

U.S. Tech Firms Increase Cloud Investments in India

Google’s Visakhapatnam project comes alongside other large U.S. technology investments in India. Amazon Web Services has committed $12.7 billion to expand cloud infrastructure by 2030. OpenAI is planning a 1-gigawatt data center to support AI model training.

According to CBRE Group, India’s data-center market could surpass $100 billion in total investment by 2027, driven by growing demand for AI services, 5G networks, and government-backed digital infrastructure.

“These facilities are being built to handle AI and cloud workloads at scale, not only for local operations but for global clients,” said a senior data-center executive familiar with the projects.

State Support for Data Center Expansion

The Andhra Pradesh government is offering land and electricity incentives to attract large-scale technology investments. Chief Minister N. Chandrababu Naidu, who helped develop Hyderabad’s tech sector in the late 1990s, is applying a similar approach to Visakhapatnam.

Officials say the state aims to simplify permitting and regulatory approvals for major technology projects.

“Reliable power and water supply are essential for these data centers,” said an industry consultant. “Addressing these infrastructure challenges will determine the success of new investments.”

Google Cloud to Provide AI Capacity for Indian Users

Google Cloud CEO Thomas Kurian said the Visakhapatnam hub will supply AI and cloud computing resources to startups, research centers, and enterprises in India.

This infrastructure will let developers and businesses build, train, and run AI systems at scale,” Kurian said in New Delhi.

The data center is designed to reduce latency, enhance data security, and comply with India’s data localization requirements

Also Read: Tesla Registers “Model Y+” in China, Plans Longer-Range Electric SUV

The company’s stock has declined around 26% in 2025, dropping well below its post-SPAC listing price. Shares rose more than 10% on Monday after news of the potential buyout circulated.

The discussions gained urgency after a lender sold a portion of Zage and Lu’s pledged shares last week, highlighting the financial exposure of the majority owners. If the transaction proceeds, the shareholders would regain full control, allowing them to manage Grindr’s operations outside the public markets.

Ownership Background

Grindr, founded in 2009, is one of the world’s largest LGBTQ+ dating and networking platforms. It became a publicly traded company in 2022 through a merger with a special purpose acquisition company (SPAC).

Before that, Grindr was sold by its former Chinese owner in 2020 to a U.S.-based investor group following a U.S. government review over data security concerns.

Why the Buyout Is on the Table

Grindr’s two main shareholders, Raymond Zage and James Lu, have seen the value of their combined stake fall sharply this year, leaving both exposed after using part of their holdings as loan collateral. Taking the company private would give them more control over those assets and prevent further forced sales.

As a public company, Grindr has struggled to attract new investors since its SPAC listing. Trading volumes are thin, and the stock price has drifted well below its debut level, limiting access to fresh capital. A buyout would remove the need to report quarterly results and allow management to cut costs or restructure without market reaction.

Privatization could also help the owners adjust Grindr’s business model, which depends heavily on paid subscriptions and in-app advertising, at a time when larger competitors dominate user growth. Operating outside public scrutiny would let them test new pricing and product strategies before deciding whether to relist in the future.

Where the Talks Stand

The buyout plan is still on the drawing board. Raymond Zage and James Lu are testing how much debt they can raise and from which lenders. People involved say no proposal has gone to Grindr’s board, and no timetable is set.

The owners are said to prefer private-credit financing rather than selling equity, which would reduce their control. That choice makes the cost of borrowing critical: rising interest rates have made large leveraged takeovers harder to justify.

If the deal proceeds, Grindr would be one of the first social-media firms to exit the public market since the 2021 SPAC boom. Analysts say the case will show whether niche digital platforms with steady user bases—but modest market caps—can attract serious buyout funding in today’s higher-rate environment.

Also Read: Swipe Right into the Future: AI-Powered Partners and Matchmakers Transform Online Dating

According to information published Thursday by China’s Ministry of Industry and Information Technology (MIIT), the upcoming variant—officially listed as “Model Y+”—appears to feature extended driving range and minor design updates. The MIIT website, which regularly posts details of vehicles awaiting sales approval, included images showing a design closely resembling the current Model Y but with subtle aerodynamic tweaks.

While Tesla has not yet disclosed full specifications or pricing, the “plus” label suggests the model could bridge the gap between the existing long-range and performance versions. Industry observers say it may use updated battery chemistry or software improvements to boost efficiency, particularly for longer-distance driving—an increasingly key factor among Chinese buyers.

China plays a crucial role in Tesla’s global strategy. The company’s Shanghai Gigafactory—its largest production hub outside the U.S.—supplies both domestic and export markets across Asia and Europe. Introducing the Model Y+ underscores Tesla’s intent to maintain its competitive edge as domestic brands like BYD, Li Auto, and Nio accelerate innovation and trim prices.

Auto analysts said that Tesla’s latest filing aligns with the company’s ongoing strategy of incremental updates rather than full model redesigns, a move that allows it to stay agile amid rapidly evolving EV technology and consumer expectations. The new model could also help offset softer demand following recent price cuts and the expiration of certain government incentives.

Tesla has not yet commented on when the Model Y+ will officially launch, but MIIT listings typically precede commercial release by several weeks. Once approved, the vehicle is expected to be produced at the Shanghai plant for both Chinese and export markets.

Also Read: Tesla Launches “Standard” Model Y and 3 With Minimal Price Cut

This sharp increase from its $2 billion valuation during itsxSeries D just months ago highlights the rapid growth of the startup and strong demand for open-source developer platforms.

Why investors are backing Supabase

Supabase develops an open-source alternative to Google’s Firebase, built on PostgreSQL. The platform offers authentication, real-time APIs, and cloud infrastructure designed to help developers launch applications more quickly and at scale.

Its growth reflects several industry trends:

• Postgres adoption: PostgreSQL continues to gain ground as a leading database system worldwide.

• Developer-driven tools: More companies are choosing platforms that allow engineers to adopt technology directly without heavy IT oversight.

• Cloud flexibility: Businesses are looking for open-source solutions to avoid dependence on large cloud vendors.

How Supabase plans to use the new funding

The company said the Series E capital will support:

• Expanding global cloud infrastructure for faster, more reliable performance.

• Developing enterprise features aimed at larger organizations.

• Building new tools and integrations to strengthen its ecosystem for application developers.

Supabase’s founders say their goal is to provide developers with “the essential building blocks” needed to create modern applications.

Where Supabase Stands Now

At a $5 billion valuation, Supabase is no longer just a startup experimenting in the database space. It’s being mentioned alongside companies like MongoDB and Elastic, which both started as developer-driven projects before becoming widely adopted in large enterprises.

The company’s momentum reflects two realities in the market:

• PostgreSQL has become a global standard for new applications.

• Businesses are looking for open-source alternatives to avoid being locked into a single cloud vendor.

This shift has moved Supabase from serving mostly independent developers and small startups to attracting interest from larger companies that want more control over their infrastructure. The latest funding round gives it the resources to build out features aimed at those bigger clients.

Also Read: Cashfree Payments Adds Apple Pay Support for International Cards

The new integration removes the need for manual card entry, which has long been a barrier for Indian exporters selling abroad. Customers can now complete transactions with a single tap or biometric authentication, reducing payment failures and improving conversion rates. Cashfree estimates that drop-offs during checkout could fall by up to 75 percent in key export markets.

Industries that rely heavily on cross-border payments—such as tourism, SaaS, e-commerce, and digital services—stand to benefit the most. For these sectors, every failed transaction translates into direct revenue loss. Apple Pay’s tokenisation and authentication features also add an extra layer of fraud protection, an important factor for businesses handling large volumes of international payments.

The update does not require additional integration. Merchants using Cashfree’s international payment gateway can activate Apple Pay immediately and continue using the same dashboards, SDKs, and reconciliation tools.

Nitin Pulyani, Head of Product at Cashfree Payments, said the move is part of the company’s broader push to simplify global payments for Indian merchants. “Cross-border commerce depends on smooth and trusted payment experiences. Adding Apple Pay is a step toward making that possible at scale,” he said.

Founded in 2015, Bengaluru-based Cashfree handles more than $80 billion in transactions annually and works with over 800,000 businesses. The company is authorised by the Reserve Bank of India as a payment aggregator and is backed by Y Combinator, Apis Partners, State Bank of India, and KRAFTON.

Cashfree’s Apple Pay integration directly tackles a pain point for Indian businesses selling abroad. Until now, international customers often abandoned purchases after repeatedly entering card details incorrectly—a problem especially common for travel companies, SaaS exporters, and e-commerce merchants. By letting buyers pay with Apple Pay, merchants can now offer a one-tap checkout using biometric authentication, which not only speeds up payments but also reduces errors and fraud. For exporters selling in markets like the US, UK, and UAE, this small change could make a tangible difference in completing more sales and improving customer experience.

Also Read: Meta Launches $10M Super PAC to Counter Restrictive State AI Regulations

This comes amid a surge in state-level AI bills, following criticism that the federal government has not acted swiftly to regulate AI technologies. During the 2025 legislative session, over 1,000 AI-related bills were introduced across all 50 states.

PAC Leadership and Bipartisan Strategy

The super PAC will be managed by Brian Baker, a veteran Republican political consultant, and Hilltop Public Solutions, a Democratic consulting firm. By supporting candidates from both parties in the 2026 midterms, Meta aims to establish a network of tech-friendly policymakers nationwide.

Meta spokesperson Rachel Holland said the PAC will focus on promoting AI innovation, supporting parental control over AI applications for children, and defending U.S. technology leadership globally. Holland emphasized that the initiative is part of the company’s broader approach to ensure AI policy does not stifle innovation or impede the competitiveness of U.S. companies.

State-Level AI Regulations

Several states, including California, have advanced AI-related legislation. Key bills currently awaiting Governor Gavin Newsom’s signature include:

• SB 243: Regulates AI companion chatbots to protect minors and vulnerable users.

• SB 53: Requires large AI companies to increase transparency on algorithmic operations and user data handling.

Meta has not specified which states its super PAC will prioritize or how many staff it plans to employ, but the company has previously emphasized California, where it maintains its headquarters.

Child Safety and AI Concerns

The PAC’s focus on parental control emerges in the context of growing concerns over AI and child safety. Internal Meta documents reportedly revealed that some chatbots were permitted to have “romantic” interactions with minors, prompting public scrutiny. Whistleblowers have also claimed that Meta suppressed research related to potential AI risks to children.

Impact on the Tech Industry

Silicon Valley has accelerated efforts to prevent state-by-state AI regulation, warning that a fragmented system would complicate compliance, slow innovation, and reduce competitiveness. Meta joins other tech players in shaping policy:

• Andreessen Horowitz and OpenAI recently launched a $100 million super PAC focused on opposing restrictive state AI laws.

• Earlier this year, a federal proposal that would have blocked states from regulating AI for ten years nearly became law but was ultimately rejected.

Meta executives stress that state-level policy decisions will influence AI product development, deployment, and U.S. leadership in global AI innovation. Brian Rice, Meta’s VP of public policy, told Axios the PAC will support candidates who champion AI development and defend American technology leadership at home and abroad.

U.S. Tech Industry and State AI Regulations

U.S. technology firms, including Meta, are navigating a complex environment as more than 1,000 AI-related bills were introduced across all 50 states in 2025. Industry leaders warn that inconsistent rules from state to state could slow product launches and increase legal and compliance costs for companies developing AI applications.

China’s government-backed AI initiatives have expanded rapidly, with estimates of tens of billions of dollars invested annually in AI research, development, and infrastructure, positioning Chinese firms to compete globally in areas such as cloud computing, generative AI, and AI chip production.

Technology companies, including Meta, warn that varying AI regulations across states could increase compliance costs by millions annually, complicate product launches, and slow adoption of AI tools in healthcare, finance, and other regulated sectors. Analysts note that companies may need separate legal and technical adjustments for each state, which could delay nationwide rollouts and reduce U.S. firms’ ability to compete with global AI leaders.

Also Read: Elon Musk Threatens Lawsuit Against Apple Over Grok AI App Store Ranking and Antitrust Claims

Under a letter of intent, the first gigawatt of Nvidia systems is scheduled for deployment in the second half of 2026. The companies said they will finalize the terms of the agreement in the coming weeks.

“This partnership builds on the work OpenAI and Nvidia are already doing with collaborators including Microsoft, Oracle, SoftBank, and Stargate partners to expand AI infrastructure,” the companies said in a joint statement.

The Nvidia announcement follows a separate agreement in which Microsoft is set to acquire a $100 billion equity stake in OpenAI’s for-profit division. OpenAI was originally founded as a nonprofit in 2015. Its nonprofit board continues to control the for-profit arm, which develops and sells AI products.

OpenAI’s structure has faced legal challenges from Elon Musk, a co-founder and early funder. Musk’s lawsuit seeks to prevent the for-profit division from taking control away from the nonprofit and alleges that the company has deviated from its original goal of developing AI for public benefit.

This month, the attorneys general of California and Delaware raised safety concerns about ChatGPT, particularly for children and teenagers. Officials cited reports of harmful interactions between users and chatbots, including the suicide of a 16-year-old in California after extended use of ChatGPT. The boy’s parents have since filed a lawsuit against OpenAI and CEO Sam Altman. OpenAI reports approximately 700 million weekly active users.

Nvidia’s investment comes shortly after the company announced a $5 billion investment in Intel, another chipmaker facing growing demand for AI hardware.

Analysts Respond to the Partnership

Analysts provided reactions to the Nvidia–OpenAI partnership:

• Matt Britzman, Hargreaves Lansdown: “Every gigawatt of AI data center capacity could generate about $50 billion in revenue. This partnership ensures Nvidia GPUs remain central to AI infrastructure while scaling OpenAI’s systems.”

• Jacob Bourne, eMarketer: “This confirms Nvidia’s lead in supplying hardware for advanced AI models. The partnership reduces concerns about competition from other chipmakers or internal chips developed by tech giants.”

• Anshel Sag, Moor Insights & Strategy: “The deal solidifies Nvidia’s long-term relationship with OpenAI and supports growth by providing the compute power needed for larger customers.”

• Ben Bajarin, Creative Strategies: “OpenAI depends heavily on Nvidia GPUs. This investment allows the company to meet the rising demand for AI services.”

The partnership will provide OpenAI with 10 gigawatts of Nvidia AI data centers to support the development of larger ChatGPT models and handle more user activity. Nvidia will supply the GPUs and infrastructure for these systems.

OpenAI Investors Overview (2025)

Also Read: How This Graphics Card Company By Chance Became a Crypto Giant

DX, founded in 2018 by Abi Noda and Greyson Junggren, helps enterprises identify productivity bottlenecks and optimize workflows without creating a culture of surveillance. Noda designed DX after observing that traditional metrics at GitHub often failed to capture the real challenges developers face. The platform combines data analysis with qualitative insights, allowing companies to understand where projects stall and how teams can operate more efficiently.

Since its public launch in 2022, DX has rapidly expanded, now serving over 350 enterprise customers, including ADP, Adyen, and GitHub, while raising less than $5 million in venture funding. The platform has tripled its customer base each year, reflecting strong demand for tools that measure developer efficiency in a growing digital economy.

Atlassian CEO Mike Cannon-Brookes said the company initially tried to build its own internal productivity tool but found that acquiring DX offered a faster, more effective solution. The move also leverages existing synergies, as about 90% of DX’s clients already use Atlassian’s project management and collaboration products.

“DX provides a complete view of developer productivity, turning complex metrics into actionable steps for teams,” Cannon-Brookes said. He noted that the rise of AI tools and increasing enterprise investment in development platforms made the timing ideal for the acquisition.

Analysts say Atlassian’s $1 billion acquisition of DX gives enterprises a clearer view of engineering team performance. The platform provides data on project delays, task distribution, and workflow efficiency. Integrating DX with Atlassian’s project management tools allows companies to identify bottlenecks, adjust resources, and speed up software delivery.

The acquisition follows Atlassian’s recent purchase of The Browser Company and positions DX as a key addition to Atlassian’s enterprise software suite. With DX integrated, companies will be able to track engineering workflows, measure team performance, and make concrete improvements to project delivery and efficiency.

Also Read: Amazon Launches AI Seller Assistant to Streamline Inventory, Compliance & Ads

Amazon has launched an upgraded version of its Seller Assistant, an always-on AI agent designed to help third-party sellers manage their businesses more efficiently. The new tool aims to save time, reduce errors, and provide actionable insights to help sellers grow and make better business decisions.

The AI assistant does more than monitor accounts—it can proactively suggest actions to improve performance. For example, it can flag slow-moving products before long-term storage fees apply, recommend price adjustments, and suggest whether to remove certain items. Sellers also receive guidance on optimizing shipping schedules, helping them avoid overstocking or delays and ensuring products reach customers on time.

Compliance is simplified with Seller Assistant. The AI continuously checks listings against regional and international safety regulations, alerting sellers to potential violations and ensuring products meet legal requirements. This reduces the risk of fines, account suspensions, and disruptions in cross-border sales.

Advertising and marketing also become easier. Seller Assistant can help sellers create ad campaigns through conversational prompts, suggesting target audiences, messaging, and ad formats based on product performance. This saves sellers hours of manual setup and ensures ads are more likely to reach the right buyers.

Beyond operational tasks, Seller Assistant provides data-driven insights. It analyzes historical sales trends, seasonal demand patterns, and competitor pricing to offer recommendations for inventory restocking, promotions, or strategic adjustments. For example, if a product is selling slower than expected, the AI can suggest a discount, bundling strategy, or marketing campaign to increase visibility and boost sales.

One practical scenario: A seller managing multiple products notices that some items are approaching storage deadlines. Seller Assistant flags these items, recommends price adjustments to move inventory faster, checks compliance in every country they are selling in, and even suggests an ad campaign to drive sales. This allows sellers to act quickly, reduce costs, and prevent losses without manually analyzing data.

Amazon has also added AI-powered tools for listing optimization and ad content generation, allowing sellers to improve product descriptions, create engaging visuals, and attract more buyers. By combining these tools with the new Seller Assistant, sellers can automate routine tasks, reduce operational errors, and focus on business growth, innovation, and customer experience.

Running an Amazon store involves juggling inventory, pricing, compliance, and advertising all at once. Seller Assistant helps by showing sellers exactly which products need attention, highlighting potential compliance issues, and suggesting ways to adjust pricing or promotions. This allows sellers to spend more time on product development, marketing strategies, and serving customers, instead of getting bogged down in routine tasks.

Also Read: Amazon to Standardize Pay and Perks for Whole Foods Corporate Employees

The update comes after trade talks in Madrid between U.S. and Chinese officials. Treasury Secretary Scott Bessent said Washington and Beijing have made significant progress on resolving TikTok’s U.S. operations. “Regarding the TikTok deal itself, we are very close, or it may already be resolved. There are still other issues under discussion,” Bessent noted, emphasizing that national security remains the top priority.

TikTok, owned by China-based ByteDance, faces a September 17 deadline to sell its U.S. operations to a domestic company or risk being banned in the country under a law enacted during the Biden administration. Trump has extended the deadline twice, allowing ByteDance additional time to negotiate a satisfactory arrangement.

Experts say a U.S.-based sale would significantly change TikTok’s operations and regulatory responsibilities. “If a U.S. company takes control, it could provide more operational clarity but also introduce stricter oversight,” said Sarah Thompson, a Washington tech policy analyst.

Millions of TikTok users and creators in the U.S. are waiting to see how the situation unfolds. A potential ban could disrupt their daily content schedules and revenue streams, while a sale to a U.S.-based company could maintain platform access but may change how data is stored, privacy rules are enforced, and ads are managed.

President Trump weighed in on the broader trade negotiations, posting on Truth Social: “The big Trade Meeting in Europe between The United States of America, and China, has gone VERY WELL! I will be speaking to President Xi on Friday. The relationship remains a very strong one.”

In Congress, opinions diverge over TikTok’s future. A group of lawmakers, including members of the Senate Commerce Committee, say a sale to a U.S.-based company is essential to secure sensitive user data and prevent foreign influence. Others, particularly in the House Technology Subcommittee, warn that forcing the platform off U.S. soil could disrupt American content creators’ earnings and slow innovation in social media and digital advertising.

Meanwhile, ByteDance has remained tight-lipped publicly but is reportedly holding detailed negotiations with U.S. regulators and exploring potential buyers to comply with federal requirements before the September 17 deadline.

With just days left until the September 17 deadline, attention is focused on the trade talks. How TikTok’s U.S. operations are resolved could shape rules for other foreign-owned tech companies, influencing data practices, business operations, and international technology relations for the years ahead.

Also Read: Minnesota Sues TikTok, Calling It a “Digital Trap for Children”

The launch comes as Apple continues to turn its AirPods into more than just a best-selling audio device. Analysts estimate the AirPods franchise generated over $14 billion in revenue in 2024, making it one of Apple’s top hardware categories outside the iPhone. With AirPods Pro 3, the company is not only chasing audio dominance but also staking a claim in the fast-growing digital health market.

Apple Puts Health Features Inside Your Earbuds

AirPods began in 2016 as a convenient wireless audio solution. But with the AirPods Pro 3, Apple is explicitly positioning the earbuds as health companions. Each bud contains Apple’s smallest-ever optical heart rate sensor, capable of recording exercise intensity, calories burned, and continuous heart rate data.

• Health Integration: The earbuds sync directly with Apple’s Health and Fitness apps, providing users workout summaries, recovery metrics, and trends over time.

• Apple Watch Companion: When paired with an Apple Watch, the devices share data for more precise readings. If the watch fails due to tattoos, sweat, or poor wrist positioning, the earbuds seamlessly take over.

• Standalone Value: For consumers who don’t own an Apple Watch, the Pro 3 offers a way into Apple’s fitness ecosystem without spending $399+ on a smartwatch.

Ben Wood, chief analyst at CCS Insight, said the addition of health features to AirPods is a deliberate move to reach users who don’t own an Apple Watch. “AirPods are now a gateway into Apple’s health ecosystem,” Wood noted, adding that the feature could help Apple attract millions of iPhone owners who want fitness tracking without buying a watch.

Audio Upgrades Target Premium Market

Apple has also re-engineered the audio hardware inside the Pro 3:

• New acoustic drivers deliver richer mid-tones and deeper bass.

• Noise cancellation is twice as strong as the AirPods Pro 2 and four times stronger than the original Pro, according to Apple.

• Foam-infused tips improve both comfort and isolation, with five sizes now available from XXS to large.

On long-haul flight tests, reviewers reported that the Pro 3 blocked nearly all cabin noise, rivaling premium over-ear headphones from Bose and Sony. Apple has also improved Transparency Mode, allowing users to hear their surroundings more naturally, and introduced Conversation Awareness, which automatically lowers volume when a wearer begins speaking.

Accessibility and Language Tools

AirPods Pro 3 aren’t just about music or workouts. They now include conversation enhancement features:

• Hearing Assist: Uses upgraded microphones to amplify voices in noisy spaces such as restaurants.

• Conversation Boost: Prioritizes speech clarity for users with mild hearing loss.

• Live Translation: Available for the first time on AirPods, this feature translates conversations in real time. Apple’s implementation builds on iOS translation services and positions AirPods as a communication tool, not just a listening device.

During testing, Live Translation showed a slight delay but proved accurate for everyday use. Market watchers note that Apple is competing directly with Google Pixel Buds and Samsung Galaxy Buds, which already offer translation features, but Apple’s integration with iOS could drive wider adoption.

Battery Life and Daily Use

Battery performance has also been extended:

• 8 hours with noise cancellation enabled.

• 10 hours without noise cancellation.

• Up to 40 hours with the charging case.

In practical tests, AirPods Pro 3 lasted an entire cross-country flight without needing a recharge — a clear improvement over the Pro 2.

AirPods Pro 3 and the Earbuds Market

Apple’s new AirPods Pro 3 add heart-rate monitoring to earbuds, a feature competitors like Samsung, Sony, and Bose don’t offer. These companies have focused mainly on sound quality and battery life, leaving a gap Apple can exploit.

Global data shows the stakes: wireless earbud shipments are expected to exceed 600 million units in 2025, with Apple holding the largest market share. Adding health tracking could help Apple keep its lead, especially as lower-cost brands try to attract budget-conscious buyers.

Unlike standard fitness trackers or smartwatches, the AirPods Pro 3 can record heart rate during workouts without needing an Apple Watch, giving users a lightweight, always-on option for fitness data.

This combination of audio and health features positions Apple to draw in both casual listeners and fitness enthusiasts, potentially expanding its ecosystem of health and subscription services.

AirPods Pro 3 Set a New Standard

Apple’s AirPods Pro 3 take the company’s earbuds beyond audio, turning them into versatile devices for health, fitness, and communication. With built-in heart rate monitoring, improved noise cancellation, hearing assistance features, and live translation capabilities, the Pro 3 models position themselves as an integral part of Apple’s ecosystem rather than just optional accessories.

At $249, the AirPods Pro 3 sit in the premium segment, but analysts note that the combination of enhanced sound and health features gives iPhone users a strong reason to upgrade. The new features also reflect Apple’s broader strategy to embed health and fitness tracking across its devices, making everyday earbuds a central tool for both wellness and connectivity.

Also Read: iPhone 17 Pro Max Preorders Delayed, iPhone Air Launch in China Paused

Two decades later, Nvidia is no longer primarily a gaming supplier. Instead, it has become a central player in two of the most disruptive markets of the 21st century: cryptocurrency and artificial intelligence. Gaming now represents less than 10% of the company’s revenue. The shift is not the product of a single decision, but of a series of developments that pulled Nvidia far beyond its original business model.

CUDA: The Turning Point

The foundation for Nvidia’s pivot was laid in 2006 with the launch of CUDA (Compute Unified Device Architecture). The platform allowed software developers to program Nvidia GPUs for purposes other than graphics, taking advantage of the chips’ parallel computing capabilities. While it was initially of niche interest, CUDA gradually built a developer ecosystem that today underpins much of the company’s dominance in high-performance computing.

At first, adoption was slow. Gaming remained the primary source of revenue. But CUDA created the framework that would later make Nvidia indispensable to two industries that demanded immense computational power: cryptocurrency mining and machine learning.

The Crypto Mining Boom

The introduction of Bitcoin in 2009 created a new kind of demand for processing power. Mining — the process of validating transactions using proof-of-work — quickly outgrew standard CPUs. By 2011–2012, miners realized that GPUs could process the necessary calculations far faster. Nvidia cards became a preferred choice, and demand exploded.

By 2017, as cryptocurrencies surged to record highs, Nvidia’s GPUs were selling out worldwide, and resale prices on the secondary market were several times higher than retail. This unexpected demand drew scrutiny from investors and regulators.

In 2018, Nvidia faced a class action lawsuit alleging that it misled investors by downplaying how much of its revenue came from crypto mining. In 2022, the U.S. Securities and Exchange Commission fined the company $5.5 million for failing to disclose the true scale of crypto-related sales.

Although the arrival of ASIC miners later displaced GPUs for Bitcoin, the crypto boom underscored a reality: Nvidia’s chips were no longer just for gaming. They had become general-purpose engines for computationally intensive industries.

AI Adoption Redefines the Company

The real breakthrough came in the early 2010s. In 2012, researchers using Nvidia GPUs trained AlexNet, a deep learning model that won the ImageNet competition and demonstrated the advantages of GPU-accelerated machine learning. That result triggered a wave of AI research built on Nvidia hardware.

In 2016, CEO Jensen Huang personally donated a supercomputer with eight Nvidia GPUs to OpenAI, an early partnership that foreshadowed the AI surge. The release of ChatGPT in 2022 confirmed what many in research circles already knew: Nvidia GPUs had become the backbone of artificial intelligence development.

The shift to AI dramatically changed the company’s financial profile. In its second fiscal quarter of 2026, Nvidia reported $46.7 billion in total revenue, with $41.1 billion — nearly 90% — coming from data center sales, a category dominated by AI-driven demand. By contrast, gaming, once Nvidia’s identity, brought in just $4.3 billion. The company has now recorded nine straight quarters of revenue growth above 50% year over year.

From Gaming Supplier to Market Leader

The scale of Nvidia’s transformation has few precedents in technology. A company that once built graphics cards for PC gamers is now the most valuable company in the world, surpassing Apple, Microsoft, and Alphabet in market capitalization.

Its rise was neither planned nor accidental — but the result of seizing opportunities created by two very different markets. Cryptocurrency mining provided a temporary surge in demand and controversy, while artificial intelligence secured a long-term foundation that continues to grow.

Nvidia’s story illustrates how technological platforms — in this case, GPU architecture and CUDA — can be repurposed for industries the company’s founders never anticipated. What began as a gaming venture has become a cornerstone of modern computing, driving innovation in fields from AI research to cloud infrastructure.

Also Read: Nvidia Q2 Earnings: $8B Loss From China Ban

China presents a different challenge. The iPhone Air cannot be preordered due to pending eSIM approvals from regulatory authorities. Apple lists the Air’s release in China as “to be updated later,” pending clearance from the country’s three state carriers. Other models in China are available as scheduled, but the delay for the Air disrupts Apple’s plan for a synchronized global launch.

Pricing across the iPhone 17 lineup remains as announced: $799 for iPhone 17, $999 for iPhone Air, $1,099 for iPhone 17 Pro, and $1,199 for iPhone 17 Pro Max, all starting at 256 GB storage. Color and storage selections are already influencing delivery times, with Pro models in cosmic orange, deep blue, and silver selling faster, while standard iPhone 17 options like black, lavender, mist blue, sage, and white are largely available for launch-day delivery.

Carrier promotions are significantly impacting preorder decisions. Many trade-in deals offering “free” upgrades require long-term billing commitments of 24 to 36 months, meaning buyers must weigh upfront costs against potential savings. Apple’s messaging, highlighting up to $1,100 in savings with carrier offers, has drawn attention to specific models, further affecting delivery times.

Market analysts note that these preorder patterns reflect Apple’s ongoing supply constraints and the logistical challenges of launching multiple models globally. The Pro Max delays underline the continued popularity of higher-priced, feature-rich devices, while regulatory hurdles in China show how local policy can influence global product rollouts.

Online communities are active with strategies to secure earlier deliveries. Buyers are sharing tips to use the Apple Store app for faster processing, monitor stock for in-store pickup, and adjust model or color preferences to meet the September 19 launch. Unlike previous years, there is minimal physical queuing, as the digital ordering system dominates the launch process.

Pro Max preorders in the U.S. are now expected to arrive in early- to mid-October due to high demand, while the iPhone Air launch in China remains on hold pending eSIM regulatory approval. Availability of specific colors and storage options is also affecting delivery dates, and carrier trade-in promotions continue to influence preorder patterns. Buyers seeking the earliest shipments may need to adjust model, color, or storage choices or consider in-store pickup options.

Also Read: Apple Event 2025: iPhone 17 and Thinnest-Ever iPhone Air Launching Sept 9

AI Assistants Handle Payments

The highlight of Mastercard’s announcement is Agent Pay, a system that allows AI-powered digital assistants to shop and complete payments on behalf of cardholders. Instead of manually entering card details at checkout, a consumer could rely on an AI assistant to process the transaction automatically.

For example, a traveler could ask their digital assistant to book flights and hotels, and the assistant would securely complete the payment using Mastercard’s network. This reduces the friction of online shopping and highlights how “agentic commerce” is moving from concept to reality.

Citi and U.S. Bank will be the first financial institutions to offer the feature to their cardholders. Mastercard also confirmed that platforms such as PayOS are preparing to embed the service into their systems, paving the way for AI-driven shopping at scale.

Developer Toolkit for Faster Adoption

To support businesses and developers, Mastercard launched the Agent Toolkit on its developer platform. This toolkit is designed to make the integration of AI assistants into payment systems more straightforward.

The toolkit connects AI systems directly with Mastercard’s APIs through the Model Context Protocol (MCP) server. For developers, this eliminates much of the complexity involved in connecting apps with financial infrastructure. Instead of lengthy approval processes and complex coding, the toolkit streamlines sign-ups and shortens deployment timelines.

This move reflects Mastercard’s recognition that widespread adoption of AI payments will only be possible if developers and businesses can easily plug into its systems. By offering pre-built access points, Mastercard is lowering barriers to entry for startups and established platforms alike.

Data Access With Customer Control

A major concern in AI adoption is data security. Mastercard addressed this with Insight Tokens, a framework that lets digital assistants use customer data only with explicit permission.

The tokens allow an AI assistant to draw insights from transaction histories, expense patterns, or travel preferences without exposing sensitive information. For example, an assistant could recommend cheaper alternatives to a frequently purchased service or manage monthly subscriptions more effectively.

SAP Concur, a major player in travel and expense management, has already signed on to use the system. Mastercard is also offering consulting services to help businesses apply these tokens responsibly. This step demonstrates how customer control over data will be central to making AI payments acceptable and trustworthy.

Partnerships to Build Standards

To ensure that AI payments develop in a consistent and secure way, Mastercard has partnered with some of the biggest names in technology and finance. Collaborators include Stripe, Google, and Ant International, all of whom share an interest in shaping the future of digital commerce.

One notable project under these partnerships is a credential verification system being developed with the FIDO Alliance. The goal is to verify merchants and transactions more rigorously before payments are processed. This could help reduce fraud, protect small businesses, and increase trust in digital transactions.

By working with competitors and partners alike, Mastercard is signaling that AI payments cannot be built in isolation. Industry-wide standards will be essential for scaling these technologies globally.

Real-Time Decisioning for Banks

Mastercard also announced a new product for banks and issuers called On-Demand Decisioning (ODD). This system allows financial institutions to control payment approvals in real time using customizable rules.

For instance, a bank could approve transactions instantly for a trusted long-term customer but flag or block suspicious activity without delay. The system also helps reduce “false declines,” where legitimate purchases are mistakenly rejected—a common frustration for both shoppers and merchants.

With ODD, issuers can fine-tune their rules to match customer profiles, risk levels, or purchase categories. This not only improves the customer experience but also strengthens fraud prevention. The tool was first presented at Mastercard’s RiskX Summit in Rome, signaling its importance to the company’s risk management strategy.

Stock Performance

Despite its aggressive innovation push, Mastercard’s stock has only slightly lagged the broader market. Shares are up 11% year-to-date, compared with a 12% gain in the S&P 100 Index.

In premarket trading on Wednesday, Mastercard shares slipped 0.26% to $582.51. Analysts say the company’s bet on AI could help close the performance gap, especially if Agent Pay and other tools gain traction among consumers, banks, and merchants.

Also Read: U.S. Blocks Intel, Samsung & SK Hynix from Producing Chips in China with American Equipment

Under the new policy, these companies will now be required to obtain individual licenses to acquire American semiconductor manufacturing equipment for their operations in China. This shift is expected to impact U.S. equipment suppliers, including KLA Corp, Lam Research, and Applied Materials, by reducing their sales in the Chinese market. Conversely, domestic Chinese equipment manufacturers may benefit from the change, as they could fill the gaps left by restricted U.S. exports.

The policy change is also anticipated to affect competition in the memory chip sector. U.S.-based Micron, a significant competitor to South Korea's Samsung and SK Hynix, may gain an advantage as the restrictions limit the ability of these companies to produce memory chips in China.

Intel had previously sold its Dalian NAND memory manufacturing facility in China to SK Hynix but continued wafer production through 2025. The new restrictions will apply to any remaining operations involving American-made semiconductor equipment.

KLA, Lam, and Applied Materials Likely to See China Sales Decline

U.S. companies that sell semiconductor manufacturing tools to China are likely to see direct impacts. KLA Corp, Lam Research, and Applied Materials, which previously supplied key equipment to Intel, Samsung, and SK Hynix facilities in China, may face a decline in sales once the new licensing requirements take effect in 120 days. Analysts note that this could reduce revenues in the short term and prompt these firms to adjust production schedules or seek alternative markets.

At the same time, Chinese equipment manufacturers may see an increase in demand. Companies such as SMIC-affiliated tool makers could capture orders that previously relied on American technology, partially offsetting domestic production challenges.

South Korean Memory Production Impacted

The U.S. restrictions could reshape competition in the memory chip industry. South Korea’s Samsung and SK Hynix, which rely on advanced U.S. equipment for certain wafer fabrication processes, may face slower production or higher costs in China. Micron, the U.S.-based memory chip producer, could benefit indirectly, as its competitors’ operations encounter bottlenecks.

Intel’s previous sale of its Dalian NAND facility to SK Hynix means the impact is limited to ongoing wafer production under U.S.-equipment use. Analysts anticipate that any delays or capacity reductions will be closely monitored by investors and could affect memory chip prices globally.

China Increases Domestic Chip Output

Chinese firms and government bodies are responding to the restrictions by investing in local semiconductor capacity:

• The National Integrated Circuit Industry Investment Fund continues to support domestic chipmakers in scaling production.

• Companies like Cambricon and Huawei are focusing on AI chip design, aiming to reduce reliance on foreign equipment.

• SMIC and other foundries are accelerating projects that substitute domestic tools for restricted U.S. equipment, particularly in advanced logic and memory fabrication.

The U.S. Commerce Department’s restrictions are expected to directly affect global chip production. Samsung and SK Hynix will face slower memory chip output in China, while Intel’s remaining wafer operations must comply with new licensing requirements. U.S. equipment suppliers such as KLA Corp, Lam Research, and Applied Materials may see reduced orders, while Chinese manufacturers like SMIC could gain additional business. These changes are likely to impact global electronics supply chains, including smartphones, PCs, and servers, as companies adjust production and sourcing to meet demand under the new rules.

Also Read: Nvidia Designing New AI Chip for China Under U.S. Export Rules

The lawsuit, filed on August 22 in the U.S. District Court for the Northern District of California, claims that Musk’s adoption of the “xAI” name — unveiled in July 2023 — infringes on Ex Populus’s trademark rights. The gaming company says it has been using the “XAI” mark since June 2023, primarily to power its Ethereum-based gaming ecosystem and digital asset network.

According to the complaint, the overlap has sparked significant marketplace chaos. Users and media outlets have reportedly confused the two ventures, with even Musk’s chatbot Grok at times linking the companies incorrectly.

Ex Populus stresses that its Xai ecosystem supports blockchain-driven games, smart contract–based rewards, and the $XAI token, and that Musk’s announcement in November 2024 about xAI’s potential entry into gaming only intensified the confusion.

“This is a textbook example of trademark infringement that requires judicial intervention,” the filing states.

The company further argues that Musk’s highly controversial public profile is harming its brand identity. “Plaintiff is being irreparably harmed by the loss of control over its goodwill,” the lawsuit reads, adding that association with Musk has led to “negative consumer sentiment” around its trademark.

In addition, Ex Populus accuses Musk’s legal team of using aggressive tactics, including pressuring the company to abandon its rights and threatening to cancel its registration.

The dispute has already had consequences at the regulatory level. The U.S. Patent and Trademark Office (USPTO) has suspended several of Musk’s trademark applications for xAI, citing the likelihood of confusion with Ex Populus’s preexisting XAI mark.

The lawsuit centers on which company established the XAI name first and whether Musk’s use is creating real confusion in the marketplace. A ruling against xAI could force Musk’s venture to change its branding or scale back plans in gaming and blockchain. Ex Populus argues that protecting the XAI mark is essential to prevent its token ecosystem and gaming platform from being overshadowed by Musk’s global profile.

Also Read: Tesla Faces Federal Scrutiny for Delayed Self-Driving Crash Reporting

iPhone 17 Lineup: Bigger Displays, New Cameras, Bold Colors

The iPhone 17 series is expected to represent the beginning of a three-year design cycle, culminating in Apple’s long-rumored foldable iPhone by 2026.

• iPhone 17: The standard model may jump to a 6.3-inch 120Hz OLED display, a significant upgrade from its predecessor’s 60Hz screen. It is also rumored to feature a 24MP front-facing camera, improving selfies and video calls. New purple and green finishes could debut with this generation.

• iPhone 17 Pro: The Pro edition is expected to showcase a redesigned camera module arranged in a horizontal bar across the back, along with a lighter aluminum frame in place of titanium. Pricing may start around $1,050.

• iPhone 17 Pro Max: While keeping most of the Pro’s features, the Max may add a thicker body to house a larger battery, extending usage time. Its price could reach $1,250.

Apple is also expected to streamline storage options on Pro models to 256GB, 512GB, and 1TB, removing the 128GB variant. New shades like dark blue and copper could distinguish the premium lineup.

Additionally, new accessories may launch alongside the phones, including TechWoven cases — a more durable replacement for 2023’s discontinued FineWoven line. Some versions may even feature a crossbody strap for convenience.

iPhone 17: Purple and Green Colors in Testing as Potential New Shade for 2025

Full Article:https://t.co/jZJJoUHBsf pic.twitter.com/1in8R6dDa5

— Majin Bu (@MajinBuOfficial) June 20, 2025

iPhone Air: The Slimmest iPhone Ever

One of the most anticipated announcements is the iPhone Air, tipped to replace the Plus model. Measuring just 5.5mm thick, it could become the thinnest iPhone ever made, surpassing even the slimmest Android rivals like Samsung Galaxy S25 Edge.

Key highlights include:

• 6.6-inch display for immersive viewing.

• Single rear camera lens, compared to the dual setup on the iPhone Plus.

• Potential compromise in audio design, with sound possibly limited to the front earpiece.

• Colors may include black, silver, and light gold, priced around $950 globally.

The iPhone Air aligns with Apple’s broader strategy of pushing boundaries in design while preparing the market for its first foldable iPhone, expected in 2026.

Apple Watch Ultra 3, Series 11, and SE 3

Apple’s wearables are also set for upgrades this fall:

• Apple Watch Ultra 3: Expected to introduce faster charging, 5G and satellite connectivity, and a larger display. Health-focused features such as blood pressure monitoring and sleep apnea detection are also in development, though they may roll out in phases.

• Apple Watch Series 11: Likely to inherit many of the same health-tracking features, strengthening Apple’s dominance in the fitness-tech category.

• Apple Watch SE 3: The budget-friendly model may see minimal changes aside from a possible larger display or a new plastic variant.

Predicted pricing is $250 for SE 3, $400 for Series 11, and $800 for Ultra 3.

AirPods Pro 3: Smarter, Smaller, Sleeker

The third generation of AirPods Pro could bring a major refresh after three years. Reports suggest:

• Touch-sensitive controls for easier navigation.

• Slimmer case and smaller earbuds for better comfort.

• H3 chip to power improved active noise cancellation and adaptive audio.

With competitors closing in on Apple’s dominance in wireless audio, the AirPods Pro 3 may help maintain its leadership in the premium earbuds segment.

What’s Changing in 2025

The September event highlighted three major changes in Apple’s lineup. The iPhone 17 series begins a new design cycle that will pave the way for Apple’s first foldable phone. The lighter “iPhone Air” returns as an option for buyers who want portability without losing premium features. And the Apple Watch continues its move toward becoming a health-focused device, with sensors designed for more than just fitness tracking.

Apple is also pushing its Pro iPhones upmarket by dropping the 128GB tier and adding new premium finishes. All of these updates point toward 2026, when Apple is expected to debut its first foldable iPhone — a product that could mark the company’s biggest hardware change in years.

Also Read: Apple to Manufacture Entire U.S.-Bound iPhone 17 Lineup in India for the First Time

The NHTSA’s probe will examine why the reports were delayed, whether the submitted data is complete, and whether there are additional unreported crashes. Tesla has stated that the delays were caused by data collection issues, which the company claims have been corrected. Tesla did not provide further comment on the ongoing investigation.

This inquiry comes as Tesla expands its autonomous vehicle initiatives. In Austin, Texas, the company launched a self-driving taxi service, allowing passengers to ride in Tesla vehicles with minimal human supervision. Over-the-air updates to millions of existing vehicles are also planned, enabling them to operate with enhanced self-driving features.

The NHTSA investigation is separate from an ongoing probe started in October, which looks at self-driving performance in low-visibility conditions, such as fog or heavy rain. That earlier investigation involves approximately 2.5 million Tesla vehicles and has been linked to several crashes, including one fatality.

Experts warn that timely crash reporting is essential for public safety and regulatory oversight, especially as Tesla pushes toward mass deployment of autonomous vehicles. Delayed reporting could obscure trends, hinder investigations, and delay safety fixes, potentially putting drivers, passengers, and pedestrians at risk.

Tesla’s stock fell nearly 1% to $321 during midday trading on Thursday amid the news. Despite regulatory scrutiny, investor confidence in Tesla’s long-term autonomous vehicle ambitions remains strong, partly driven by the company’s innovative software updates and planned robotaxi network, which could significantly expand revenue streams.

Although Tesla leads in electric vehicle sales and autonomous technology, its repeated delays in reporting Autopilot and Full Self-Driving crashes have drawn federal scrutiny. The ongoing NHTSA investigation could slow or limit the nationwide rollout of Tesla’s Austin robotaxi service and delay critical over-the-air software updates that enable self-driving functions in millions of vehicles already on the road.

Regulators and industry experts say the case may also set a benchmark for crash reporting requirements across the self-driving car industry, forcing automakers to adopt faster and more transparent reporting practices. The outcome could shape federal oversight rules, safety standards, and public trust in autonomous vehicle technology in the United States.

Also Read: Tesla Grilled by U.S. Safety Agency Over Robotaxi Launch in Austin

On Tuesday, Minnesota became the latest state to sue TikTok, accusing the platform of exploiting children’s developing brains. The 96-page complaint claims the app deliberately manipulates minors using features such as infinite scrolling, personalized content recommendations, push notifications, and playful filters that encourage repeated engagement.

“These features aren’t neutral; they’re designed to trigger habit-forming behaviors in children,” the lawsuit states. “TikTok profits from their attention, their data, and their impulses.”

The lawsuit also targets TikTok LIVE, where users—including minors—can buy virtual coins to send as gifts to live streamers. These coins are converted into real money, with TikTok taking a percentage of the transactions. According to the complaint, the platform earned $1.7 billion from these virtual gifts in a single quarter of 2023. Minnesota alleges that TikTok’s age verification system is easy to bypass, allowing hundreds of thousands of children to access adult content or make unplanned purchases, while content moderation is inconsistent.

TikTok responded by highlighting over 50 teen safety features, including parental controls through its Family Pairing tool, but the lawsuit argues these measures are insufficient against the app’s design, which the complaint calls “sophisticated and intentionally addictive.”

The legal action coincides with heightened national scrutiny. In April 2024, President Joe Biden signed the Protecting Americans from Foreign Adversary Controlled Applications Act (PAFACA), mandating that ByteDance divest TikTok's U.S. operations by January 19, 2025, or face a nationwide ban. However, President Donald Trump, upon taking office in January 2025, issued multiple executive orders extending this deadline. The most recent extension, signed on June 19, 2025, set the new deadline to September 17, 2025. 

In response to the looming deadline, ByteDance is reportedly developing a U.S.-specific version of TikTok, internally referred to as "M2." This new app is scheduled for release on September 5, 2025, and aims to address U.S. government concerns over data security. Current TikTok users in the U.S. will be required to download the new app to continue using the service. The original TikTok app will remain operational until March 2026.

As the September 17 deadline approaches, negotiations for the sale of TikTok's U.S. operations continue. While some investors have expressed interest, including Amazon and Oracle, the deal's completion remains uncertain. The outcome will determine whether TikTok can continue operating in the U.S. under its current ownership or if a divestiture is necessary.

Federal litigation is also underway, with parents in California filing consolidated claims over the app’s effects on minors. Together, these lawsuits focus attention on how social media companies profit from children’s attention and spending, while highlighting gaps in safety measures and regulatory oversight.

According to Minnesota’s complaint, TikTok collects detailed personal data—including location, interests, and purchasing habits—while children spend hours on the app. Features such as the recommendation engine, infinite scroll, push notifications, and TikTok LIVE gifts repeatedly draw users back, generating millions in revenue. The outcome of this case could directly affect whether TikTok continues operating in its current form in the United States.

Also Read: UAE Startup Offers $20M to Hack Any Smartphone

Zero-day exploits are flaws in software that developers are unaware of when discovered. These vulnerabilities allow controlled access to devices before security patches are released, making them valuable for government agencies, law enforcement, and intelligence operations.

Key highlights of the program:

• $20 million bounty for any mobile operating system zero-day

• $15 million for iOS or Android exploits

• $10 million for Windows vulnerabilities

• $5 million for Chrome, $1 million for Safari and Microsoft Edge

• $2 million for messaging apps, including Signal, Telegram, and WhatsApp

• Works with over 25 government and intelligence agencies worldwide

• Staff reportedly have 20+ years of experience in elite intelligence and private military operations

• Ownership and leadership remain undisclosed, and the company has not shared funding sources

Experts familiar with zero-day markets say the payouts are among the highest publicly offered. They note that these high values reflect increasing demand for mobile vulnerabilities. However, working with undisclosed buyers carries potential legal and ethical risks that researchers must carefully consider.

The zero-day market has expanded considerably over the past decade, both in the number of participants and the value of individual exploits. Hacking modern devices has become more challenging due to stronger security measures, which has driven up the market price for critical vulnerabilities. By offering high payouts across multiple platforms and messaging apps, Advanced Security Solutions signals a major escalation in the market for mobile security exploits.

“This program shows that governments and agencies are now investing millions to access mobile vulnerabilities, creating higher stakes for cybersecurity professionals and device protection efforts,” said a security analyst familiar with zero-day markets. “Researchers must navigate ethical and legal boundaries carefully, while companies need to patch devices faster than ever to protect sensitive information.”

Also Read: TinyFish Secures $47 Million Series A for AI Web Agents

Founded in 2024, TinyFish develops AI-powered web agents that automate complex online tasks by simulating human browsing. The platform is designed to replace offshore data-entry teams and fragile custom scripts, which often fail when websites change their design. The company is initially targeting the retail and travel sectors, where its software is used to track competitor prices, promotions, shipping times, and inventory levels in real time.

Chief Executive Sudheesh Nair said the company’s mission is to help enterprises convert unstructured internet activity into usable data. “If you can turn the internet into analyzable data, it gives businesses an advantage others don’t have,” he said. “The goal is to drive growth, not just reduce costs.”

TinyFish currently employs around 25 people at its headquarters in Palo Alto. With the new capital, the company has a funding runway of three to four years. Nair said the next stage will involve expanding its customer base while refining the platform to handle larger-scale deployments.

The investment comes at a time when the AI agent market is drawing significant attention. Businesses are moving beyond static large language models to autonomous agents capable of performing multi-step tasks across the web. Startups and major technology companies are competing to commercialize solutions that can reliably manage this type of automation.

ICONIQ partner Amit Agarwal said TinyFish distinguished itself through early success with demanding customers, including Google. “They operationalized their platform at production scale for enterprises that already had the resources to build such tools themselves,” he said.

The Series A investment will allow TinyFish to serve additional enterprise clients, helping businesses track competitor pricing, inventory, and promotions more efficiently than traditional methods.

Also Read: Nvidia Designing New AI Chip for China Under U.S. Export Rules

The move involves production across five factories in India, including two recently opened plants. By expanding its Indian operations, Apple aims to reduce its dependence on Chinese factories for U.S.-bound devices and make its supply chain more resilient against global trade disruptions.

Although India faces higher import duties on certain goods, shipments of consumer electronics to the U.S. are largely exempt from tariffs, giving Apple more flexibility in sourcing and production. Industry analysts say the shift could also help Apple control costs while tapping into India’s growing manufacturing ecosystem.

The company’s stock has fallen nearly 8% since the start of the year, affected by investor concerns over slower progress in artificial intelligence initiatives and lingering effects of past U.S. tariffs. Premarket trading following the news showed little change in the stock’s price.

Apple will produce all four iPhone 17 models for the U.S. market at its Indian factories, including two recently opened plants. The decision follows years of investment in India’s manufacturing infrastructure, where Apple has developed local supplier networks and trained workers to meet high-volume production standards.

Rajesh Malhotra, a technology supply chain analyst, said, “India now has the factories, skilled workforce, and logistics in place to handle all iPhone 17 models for the U.S. Producing them here helps Apple manage production risks in China and deliver devices to American customers on schedule.”

With all iPhone 17 models coming from India, Apple can scale up quickly to meet demand in the United States while making full use of its newly expanded production capacity in the country.

Also Read: Trump’s Tariffs Backfire as Apple and Big Tech Bet on India Over the U.S.

Key Facts

• B30A: New Blackwell-based chip for China, single-die, stronger than H20.
• H20: Hopper-based export-compliant chip, briefly banned then reinstated in July.
• RTX6000D: Cheaper China-specific inference chip, bandwidth just under U.S. threshold.
• China share: 13% of Nvidia revenue last fiscal year.
• Competition: Huawei Ascend chips gaining ground, though weaker in software.
• Politics: U.S. lawmakers divided on scaled-down exports; Beijing raising security doubts.

Nvidia is developing a new artificial intelligence processor for the Chinese market that would be more powerful than the H20, the company’s current export-compliant chip, according to people familiar with the plans. The move underscores how the world’s most valuable semiconductor firm is navigating U.S. restrictions on advanced technology while trying to protect a key source of revenue.

A New Blackwell-Based Design

The processor, known internally as the B30A, is built on Nvidia’s Blackwell architecture. Unlike the flagship B300 accelerator that uses a dual-die layout, the B30A will feature a single-die design, which is simpler to manufacture but caps peak performance. Even so, industry sources said the chip will offer significantly more computing power than the H20, which is based on the older Hopper platform.

The new design is expected to include high-bandwidth memory (HBM) and NVLink connections to speed data transfers between processors—both crucial features for training large-scale AI models. Nvidia aims to ship early samples to Chinese partners as soon as next month, though specifications may still change.

A company spokesperson declined to comment on the new chip but said: “We evaluate a variety of products so we can be ready to compete within the rules. Everything we offer is approved by the relevant authorities and intended solely for commercial use.”

Washington Sets Performance Limits for Nvidia Chips in China

The B30A exists because of strict U.S. export limits. Since late 2022, Washington has restricted the sale of advanced GPUs to China over concerns that Beijing could use them to develop military AI systems. In April 2024, the Department of Commerce tightened the rules further, setting thresholds on processing power and memory bandwidth.

Nvidia has repeatedly had to rework its China lineup to fit those limits. The H20, designed specifically to comply with 2023 rules, was briefly banned this April before regulators allowed sales to resume in July.

Last week, former president Donald Trump, who is campaigning for a return to the White House, said Nvidia might be allowed to sell scaled-down Blackwell chips in China. He suggested a 30–50% cut in computing power compared with U.S. models and dismissed the H20 as “obsolete.”

Approval, however, is far from certain. Lawmakers from both parties have argued that even trimmed-down versions of Nvidia’s most advanced chips could boost China’s AI capabilities in sensitive areas.

China Market Important for Nvidia

Despite the restrictions, China remains vital for Nvidia. The country accounted for 13% of the company’s revenue in the last fiscal year, according to filings. Chinese cloud providers, startups, and research institutions are among the biggest buyers of GPUs for AI training.

“If Nvidia can’t sell competitive products into China, there’s a risk its customers will permanently switch to domestic alternatives,” said Dan Wang, a tech analyst based in Shanghai. “That’s a bigger threat than losing one product cycle.”

The pressure is compounded by the rise of Huawei Technologies, which has made rapid progress in AI chip development. Huawei’s latest Ascend processors are said to rival Nvidia in computing power, though analysts note they still lag in software support and memory efficiency.

For now, Nvidia’s CUDA software ecosystem remains a powerful moat. Developers who build AI systems around CUDA face high switching costs if they move to alternatives. That has kept many Chinese firms tied to Nvidia even as Huawei gains momentum.

U.S.-China Dispute Over Nvidia Chips

Tensions between the United States and China are affecting Nvidia’s chip sales. U.S. officials consider advanced AI processors strategic technology, while Beijing has criticized Washington for restricting access, saying it limits China’s technological development.

Chinese state media recently questioned the security of Nvidia’s products, suggesting potential risks for local users. Industry sources said regulators have quietly advised domestic companies to be cautious about purchasing the H20. Nvidia denied these claims, stating its chips do not contain backdoors or hidden vulnerabilities

The dispute has become one of the sharpest flashpoints in U.S.-China trade relations, alongside tariffs, rare earths, and access to cloud computing.

Nvidia Plans Cheaper AI Chip for China

Nvidia is preparing a second processor for the Chinese market. The RTX6000D, expected to ship in September, is designed for AI inference, where trained models generate outputs rather than learn from new data.

The RTX6000D is less powerful than the H20 and will be offered at a lower price. It uses GDDR memory instead of high-bandwidth memory (HBM) and has a bandwidth of 1,398 gigabytes per second, just under the 1.4-terabyte limit set by U.S. export rules. First reported in May, the chip is built to comply with U.S. regulations while providing a more affordable option for Chinese customers.

Nvidia Faces Approval and Market Risks in China

Nvidia’s two upcoming chips for China—the high-performance B30A and the lower-cost RTX6000D—come at a time of regulatory uncertainty. The B30A must receive U.S. export clearance before it can be sold, and any delay or denial could leave Nvidia with limited options in a market where domestic alternatives are advancing rapidly.

In addition to regulatory hurdles, Nvidia’s challenge includes maintaining business with Chinese firms that depend on its hardware and software ecosystem for AI development. Losing these customers could give Chinese competitors, including Huawei, a chance to expand their presence and capture part of Nvidia’s market share.

Also Read: Nvidia Faces Chinese Scrutiny Over H20 Chip 'Backdoor Access' Issue

Chrome entered quietly, marketed as a faster, cleaner alternative built on WebKit, the rendering engine used by Safari. Google emphasized speed and simplicity: pages loaded faster, tabs were isolated so one crash wouldn’t take down the entire browser, and the minimalist “omnibox” combined search and address input.

The strategy worked. Within four years, Chrome surpassed Internet Explorer and Firefox, becoming the world’s most popular browser. Google then bundled it with Android, preinstalling it on billions of smartphones. This cemented Chrome as the default gateway to the web for most people, giving Google an unrivaled channel to funnel traffic toward its search engine and advertising business.

Today, Chrome commands around 63% of the global browser market, according to StatCounter. It runs on every major operating system, and through Chromium—its open-source foundation—also powers Microsoft Edge, Brave, Opera, and several niche browsers. More than three billion users rely on it daily.

Why Regulators Are Targeting Chrome

The Justice Department (DOJ) has long scrutinized Google’s dominance. In late 2023, a U.S. court found Google guilty of illegally maintaining a monopoly in search by locking up distribution deals with Apple, Mozilla, and device makers. In April 2024, another ruling concluded that Google monopolized parts of the open-web digital advertising market, stifling competition.

Regulators argue Chrome plays a critical role in reinforcing these monopolies. By controlling the browser, Google can:

• Set Google Search as the default, steering traffic to its ads business.

• Collect data on browsing habits, strengthening its targeted advertising.

• Use browser features to roll out new ad technologies (such as the controversial Privacy Sandbox).

The DOJ claims fines alone won’t solve the problem. Instead, it is asking a federal judge to force Google to divest Chrome entirely—a drastic remedy rarely seen in modern antitrust cases. Regulators point to Microsoft’s bundling of Internet Explorer in the 1990s as a precedent, though the courts then stopped short of a breakup.

“Chrome is not just a browser; it is the distribution arm of Google’s search empire,” a former FTC official told me. “If regulators want to weaken the stranglehold, breaking that chain is the only real lever.”

How Chrome Powers Google’s Search, Advertising, and Innovation

For Google, Chrome is more than a piece of software—it is a linchpin of its business.

1. Search Default Power: When users open Chrome, the default search engine is Google. Most never change it, which ensures billions of queries flow through Google daily.

2. Advertising Revenue: Alphabet, Google’s parent company, generates around 80% of its revenue from ads. Chrome ensures that pipeline remains strong.

3. User Data: Chrome allows Google to gather insights into browsing patterns, page performance, and user engagement—data that feeds its ad products.

4. Innovation Platform: Chrome is often the testing ground for new technologies like PWAs (progressive web apps), performance APIs, and advertising frameworks.

Investment bank Barclays has warned that losing Chrome could wipe 15–25% off Alphabet’s market capitalization. For a company valued at nearly $2 trillion, that represents hundreds of billions in lost value.

Google Warns Chrome Sale Could Risk Security and Ecosystem

Google insists it is not a monopoly and that selling Chrome would be disastrous.

In a blog post published in May 2024, the company argued:

• Security risks: Chrome receives updates every few weeks, patching vulnerabilities that hackers could exploit. A divestiture could slow this process, leaving billions exposed.

• Open-source dependency: Chromium underpins not just Chrome but also Microsoft Edge and other browsers. Splitting it away could disrupt the entire ecosystem.

• Competition exists: Safari dominates iOS devices, Edge is gaining traction on Windows, and Firefox continues to serve privacy-conscious users.

“Breaking up Chrome would not help consumers,” the blog stated. “It would fragment the web, harm innovation, and create new cybersecurity risks.”

Privately, Google executives have warned investors that a forced sale could diminish Chrome’s global reach, potentially turning it into a less relevant product over time.

Who Is Bidding to Acquire Google Chrome Browser

Even before the court has ruled, potential buyers are circling. The prospect of acquiring the world’s most-used browser has sparked interest from established tech players, AI startups, and private equity groups.

Search.com – $35 Billion Offer

Search.com, an AI-powered search platform, confirmed it submitted a $35 billion bid for Chrome. Backed by JP Morgan and private equity investors, the company argues it can expand Chrome’s reach while rethinking search through AI chat tools.

Melissa Anderson, president of Search.com’s parent company Public Good, said: “Chrome is the fastest way to scale user adoption globally. Pairing it with AI-driven search could make knowledge more accessible for everyone.”

Perplexity – $34.5 Billion Offer

Perplexity, a fast-growing AI search startup, has offered $34.5 billion. The company recently launched Comet, an AI-native browser, and sees Chrome as a chance to leapfrog rivals. Investors have pledged to back the deal despite the bid exceeding Perplexity’s valuation.

Perplexity says it would maintain Chromium as open source and keep Google as the default search engine, though users could change it.

OpenAI – Considering a Bid

OpenAI has not made a formal offer but has signaled interest. CEO Sam Altman told reporters: “If Chrome is really going to sell, we should take a look at it.”

For OpenAI, Chrome could provide distribution for ChatGPT and other AI services, counterbalancing Google’s dominance. Given Microsoft’s 49% stake in OpenAI, a partnership could emerge, though it would likely face intense regulatory scrutiny.

Yahoo and Apollo

Yahoo, owned by Apollo Global Management, has also shown interest. Brian Provost, general manager of Yahoo Search, called Chrome “the most important strategic player on the web” during April’s hearings. Acquiring Chrome could help Yahoo regain relevance in a market it once led.

Past Antitrust Cases and Their Impact on Tech

If Google is forced to sell Chrome, it would echo earlier antitrust battles.

• Microsoft (2001): The government accused Microsoft of using Windows to force Internet Explorer on users. The company avoided a breakup but agreed to restrictions. That case opened the door for Firefox and, eventually, Chrome to thrive.

• AT&T (1980s): The telecom giant was broken up into regional “Baby Bells,” spurring innovation in communications and lowering consumer costs.

• Standard Oil (1911): One of the earliest examples, where forced breakup created lasting competition in the oil industry.

Unlike these cases, Chrome is software, not hardware or infrastructure. Regulators would face the challenge of ensuring the transfer doesn’t harm users or the broader web ecosystem.

EU, India, Australia, and South Korea Monitor Google Chrome Case

The U.S. is not acting in isolation. Regulators worldwide are paying close attention:

• European Union: Under the Digital Markets Act, the EU can demand similar remedies against “gatekeeper” platforms. If Chrome is sold in the U.S., Europe may require equivalent steps.

• India: The Competition Commission of India has already fined Google for bundling practices on Android. Chrome is central to that inquiry.

• Australia and South Korea: Both have active digital competition investigations that could be influenced by the U.S. outcome.

If Chrome changes hands, global regulators will want guarantees that user data remains protected across borders.

Impact on Users’ Browsing, Privacy, and Updates

For the three billion people who use Chrome, a sale could have tangible effects:

• Default Search: A new owner might switch the default from Google to Bing, Yahoo, or a new AI engine.

• Privacy: Depending on the buyer, data collection practices could change—either more aggressive targeting or stronger privacy protections.

• Updates: Users could face slower security patches if ownership transition causes disruption.

• Innovation: Some fear a new owner might prioritize short-term profit over long-term browser development.

Consumer advocates argue a sale could bring benefits if it reduces Google’s data dominance. “Users deserve a browser that isn’t tied to one advertising model,” said John Bergmayer of Public Knowledge, a digital rights group.

Planned Actions and Timeline for Chrome Divestiture

The federal judge overseeing the case is expected to rule by the end of this month. There are three possible outcomes:

1. Chrome must be divested – triggering a high-stakes sale process likely to involve multiple bidders and international regulators.

2. Restrictions without divestiture – such as requiring Google to offer users choice screens for search engines and ad systems.

3. Google wins – no divestiture, but ongoing appeals and global regulatory pressure would remain.

Whatever the outcome, the case will set a precedent. Forcing the sale of a consumer software product used daily by billions would be unprecedented in the tech industry.

Chrome’s Future and the Antitrust Stakes

Chrome started as a small browser but grew into the gateway most of the world uses to access the internet. Its success has now placed it at the center of a major antitrust case with global attention.

If regulators force a sale, Chrome could become the most valuable technology ever separated from a Big Tech company. If the case fails, Google’s control over the browser and search ecosystem could strengthen further. The coming weeks will decide not only who controls Chrome but also the future openness of the web for users worldwide.

Also Read: Perplexity Makes $34.5B Offer to Buy Google Chrome

The offer, confirmed by Perplexity on Tuesday, comes with three commitments: to keep Chrome’s open-source Chromium engine freely available, to invest $3 billion in its future development, and to leave Google Search as the default for existing users. The company says these pledges are designed to reassure regulators and Chrome’s estimated 3.5 billion users that there will be no disruption to the browser’s core experience.

A Browser at the Heart of a Monopoly Case

Chrome has been central to Google’s dominance in the search market for over a decade. The browser’s deep integration with Google services — including Gmail, Drive, and YouTube — has helped the company secure its position as the world’s leading search provider.

In March, a federal judge ruled that Google had illegally maintained a monopoly in online search, siding with the U.S. Department of Justice after a multi-year investigation. The DOJ’s proposed remedy includes forcing Google to sell Chrome, a measure the court could finalize as soon as this month.

Google has pledged to appeal and has made no public indication that it is willing to part with Chrome, which accounts for about 68% of the global browser market, according to Statcounter. Regulators argue that Google’s control over both the dominant browser and the default search engine gives it a structural advantage that blocks competitors from gaining market share.

Price Tag Below High-End Estimates

Industry analysts place Chrome’s value between $45 billion and $50 billion, meaning Perplexity’s $34.5 billion offer is competitive but potentially below what the market might expect if a bidding process is triggered.

Perplexity’s own financial capacity is far smaller than the size of its bid. The startup has raised about $1.5 billion since its launch and was last valued at $18 billion following a $100 million funding extension in July. Any successful purchase would likely require significant outside financing, either through debt, equity partnerships, or a combination of the two.

Despite the gap, Perplexity’s proposal puts it in the front line of potential buyers should regulators order Chrome’s divestiture.

Strategic Leap for Perplexity

Perplexity’s move reflects its ambition to compete with both traditional search engines and AI-powered platforms. Last month, the company launched Comet, its own browser designed to integrate AI search into the browsing experience from the ground up.

Acquiring Chrome would give Perplexity an immediate global distribution channel, bypassing the need to grow Comet from scratch. It would also position the company to challenge rivals like Microsoft’s Edge and Apple’s Safari — though its decision to keep Google Search as the default suggests Perplexity is prioritizing regulatory approval and user retention over immediately switching to its own search product.

The company has also been linked to other high-profile potential deals, including a reported bid to merge with TikTok, signaling that its growth strategy extends well beyond search.

Potential for a Global Bidding War

If the court orders Chrome’s sale, it is expected to attract a range of suitors — from major technology firms to private equity investors — given its market reach, brand recognition, and revenue potential.

Such a sale would be one of the most significant forced divestitures in technology history, drawing comparisons to the AT&T breakup in 1984, which reshaped the U.S. telecommunications landscape. The outcome could alter not just the browser market but the competitive balance in global search and online advertising.

Google has not responded to the offer. The court is expected to outline divestiture terms later this month, a decision that could determine whether Chrome stays under Google’s control or is opened to bids from multiple global buyers. Any sale would rank among the largest in the history of consumer software and could shift market share in both the browser and search sectors within months.

Also Read: OpenAI and Yahoo Battle to Buy Google’s Chrome as Antitrust Trial Heats Up

Hey @Apple App Store, why do you refuse to put either ???? or Grok in your “Must Have” section when ???? is the #1 news app in the world and Grok is #5 among all apps?

Are you playing politics? What gives? Inquiring minds want to know. https://t.co/3wenLZGtwG

— Elon Musk (@elonmusk) August 11, 2025

In a series of posts on X, Musk criticized Apple for excluding X — currently the world’s top news app — and Grok, ranked fifth among all apps, from the App Store’s “Must Have” section, which prominently features key apps. “Apple is behaving in a manner that makes it impossible for any AI company besides OpenAI to reach #1 in the App Store, which is an unequivocal antitrust violation,” Musk wrote.

Musk questioned whether Apple’s editorial policies are being used to “play politics,” pointing out that ChatGPT appears in every Apple-curated app list. This accusation comes amid Apple’s growing collaboration with OpenAI, including the integration of OpenAI’s technology into Apple’s Siri voice assistant and its Apple Intelligence features, which launched earlier this year.

Apple’s App Store is known for its strict curation process, combining human editorial oversight and automated algorithms that impact app rankings, visibility, and user reviews. Apple describes the store as “highly curated” to ensure quality and security, but this curation process has faced criticism for alleged favoritism and opaque decision-making.

This confrontation is also tied to Musk’s ongoing legal dispute with OpenAI, which he co-founded in 2015 but later left due to strategic disagreements. Musk filed a lawsuit scheduled for trial in March, challenging OpenAI’s shift from nonprofit to a for-profit structure. He claims his $45 million donation was conditional on OpenAI remaining a nonprofit, a condition he says OpenAI violated.

OpenAI’s CEO Sam Altman has denied these claims, accusing Musk of attempting to absorb OpenAI into Tesla for funding purposes. Microsoft, a major OpenAI investor, has supported Altman’s position, dismissing Musk’s lawsuit as unfounded.

Industry analysts say this case shines a light on the broader tensions in the AI industry — including issues of market control, competition, and the influence of platform owners like Apple. How Apple manages app rankings and its editorial decisions can significantly impact AI developers competing for visibility and users.

Musk’s legal threat against Apple also raises questions about the future of app marketplaces and how much influence tech giants should hold over which apps reach consumers. For xAI and Musk, it’s a fight for equal footing in an increasingly crowded AI field.

Apple has not publicly responded to Musk’s allegations at this time.

Also Read: U.S. Government to Collect 15% of Nvidia and AMD's China AI Chip Revenue

A Break From Traditional Export Licensing

In the past, export licenses for sensitive technology primarily involved compliance with security protocols and destination restrictions. They rarely, if ever, required companies to share ongoing profits with the U.S. government.

By linking market access in China to a continuing revenue stream, the Biden administration (through policies retained under the Trump administration) is setting a precedent that blends national security oversight with financial leverage.

Industry experts suggest this approach allows American firms to retain a foothold in China’s growing AI sector while ensuring the U.S. benefits economically from technology exports that could carry strategic risks.

The Chips Covered by the Agreement

The revenue-sharing deal applies to Nvidia’s H20 and AMD’s MI308 — two of the most advanced AI chips currently on the market.

• Nvidia H20 – Designed for AI workloads such as large-scale language model training, data center applications, and advanced analytics, the H20 was tailored to comply with earlier U.S. export controls for China. However, tightened rules earlier this year temporarily blocked its shipment.

• AMD MI308 – A competitive AI accelerator aimed at enterprise and research-level AI tasks, also restricted under the same updated export regulations.

In July, Nvidia CEO Jensen Huang confirmed that the Trump administration had granted approval to restart shipments of the H20 to China — but only under the condition that 15% of the revenue from those sales goes directly to the U.S. government.

National Security at the Core

The U.S. Commerce Department classifies these AI chips as “dual-use” technology — meaning they can be deployed for both civilian applications and military purposes. Officials have warned that unrestricted access could accelerate China’s development of next-generation weapons systems, advanced cyber operations, and state-level AI capabilities.

By imposing revenue-linked export conditions, Washington aims to:

• Slow China’s access to cutting-edge AI hardware.

• Preserve U.S. dominance in semiconductor innovation.

• Maintain a controlled presence in the Chinese tech market.

U.S. Export Deal Pressures Nvidia, AMD

Nvidia has reiterated that it complies fully with U.S. trade rules and expressed hope that export controls will still allow American companies to compete globally. The company noted it has not shipped the H20 to China for months, suggesting pent-up demand that could boost sales once exports resume under the new rules.

AMD has not issued an official statement regarding the revenue-sharing requirement.

While the exact financial impact of the deal is unclear, industry analysts expect the arrangement to generate substantial revenue for the U.S. government, given China’s role as one of the largest buyers of AI hardware.

Where Will the Revenue Go?

The White House has not disclosed how the 15% revenue will be used. Potential uses could include:

• Funding U.S. semiconductor research and development.

• Expanding domestic chip manufacturing under initiatives like the CHIPS and Science Act.

• Supporting defense-related technology programs.

A Blueprint for Future Technology Exports

Trade policy experts believe the Nvidia–AMD agreement could serve as a test case for regulating other high-value technologies with security implications, such as quantum computing, advanced robotics, and biotechnology.

If successful, revenue-sharing export licenses could become a powerful new tool for the U.S. in balancing economic opportunity with strategic control over sensitive technology.

The deal makes clear that AI chips are now treated as instruments of national power, not just commercial products. Future U.S.–China semiconductor trade will be governed as much by export controls and security strategy as by sales potential.

Also Read: AWS to Give U.S. Agencies $1B in Cloud Discounts by 2028

Amazon Web Services (AWS) has finalized a sweeping deal with the U.S. General Services Administration (GSA) that will provide federal agencies with up to $1 billion in cloud computing discounts through the end of 2028.

The agreement, announced Thursday, is aimed at helping government entities accelerate digital transformation efforts, with a focus on IT modernization, cloud migration, and workforce training. According to the GSA, the agreement will also serve as a springboard for integrating artificial intelligence tools and advanced data infrastructure across federal departments.

The multi-year commitment offers federal agencies broader access to AWS’s cloud services at significantly reduced costs—potentially saving taxpayer dollars while improving the agility of government operations.

“This partnership with AWS will help agencies adopt secure, scalable technologies more efficiently,” the GSA stated. “It’s a major step forward in enabling modern service delivery and harnessing the potential of emerging technologies like AI.”

The agreement does not include new legislation or funding but leverages the existing government-wide procurement vehicle known as GSA’s Cloud Blanket Purchase Agreement (BPA). AWS remains one of the top cloud providers serving public sector needs, competing alongside Microsoft Azure and Google Cloud in government contracts.

As agencies prepare for increased data workloads and the national push toward AI integration, cloud providers like AWS are positioning themselves as key infrastructure partners for federal digital strategy.

The GSA said the contract also includes expanded training and support services to help government teams fully utilize cloud tools—an area that has historically lagged due to skill gaps and legacy systems.

With federal IT transformation still in early stages across many departments, this agreement could mark a turning point in how the U.S. government approaches digital infrastructure over the next several years.

Also Read: AWS Outage Shuts Down Binance, KuCoin Services — Crypto Trading Disrupted Globally

In a post Thursday morning on Truth Social, Trump did not mince words:

“The CEO of INTEL is highly CONFLICTED and must resign, immediately. There is no other solution to this problem. Thank you for your attention to this problem!”

The comments came just months after Tan was appointed to lead the chipmaker in March, following the exit of Pat Gelsinger. The leadership change was initially applauded on Wall Street, with Intel shares jumping as much as 15% on the day of the announcement. However, following Trump’s remarks, the stock lost over 3% in intraday trading.

Intel CEO Faces Scrutiny Over China Investments

Tan, a veteran of the semiconductor industry, also leads Walden International, a venture capital firm with a long history of investing in Chinese tech startups — including companies operating in sensitive sectors like artificial intelligence and chip design. According to public records from Chinese corporate registries, Walden remains financially linked to at least 20 firms co-funded by Chinese state-owned entities or government-controlled investment funds.

While those investments were made before Tan took the helm at Intel, federal officials and lawmakers are questioning whether his ongoing leadership poses a conflict of interest — especially as Intel benefits from a nearly $8 billion federal grant under the CHIPS and Science Act.

Congressional Scrutiny Escalates

On Wednesday, Senator Tom Cotton sent a formal letter to Intel’s board of directors questioning whether the company can uphold its obligations under the CHIPS Act with Tan at the helm. The letter referenced the scale of Tan’s historical investments in Beijing-linked companies and raised national security concerns.

“Intel is required to be a responsible steward of American taxpayer dollars and to comply with applicable security regulations,” Cotton wrote. “Mr. Tan's associations raise questions about Intel’s ability to fulfill these obligations.”

The Trump administration has not issued any formal directive to Intel, but sources familiar with the matter say senior officials are reviewing legal pathways for ensuring that federal grants are not placed at risk due to foreign entanglements at the leadership level.

Strategic Stakes Behind Trump’s Unfiltered Message

Intel’s role as a linchpin in America’s chip manufacturing ambitions makes the company a national security priority. With the U.S.–China tech race intensifying, the administration has made it clear it will scrutinize any perceived vulnerabilities — particularly when taxpayer dollars are involved.

President Trump’s demand for Tan’s resignation is not just a political broadside but a signal to the broader tech industry: financial ties to geopolitical rivals will not be tolerated in firms receiving federal subsidies. Administration insiders say that more companies could come under review if similar connections are uncovered.

Tan and Intel have yet to issue a response to either Trump’s public demand or Senator Cotton’s letter. There has been no indication that the board is currently considering any leadership changes.

Intel CEO’s China Links Put CHIPS Act Funding at Risk

Intel’s plan to expand chip manufacturing in the U.S. is now at risk of being derailed, just months after appointing Lip-Bu Tan as CEO. The company has pitched multi-billion-dollar projects in Ohio and Arizona as part of its effort to secure a sizable slice of CHIPS Act subsidies. But Tan’s past investments in Chinese tech firms — flagged in a Senate letter this week — are drawing renewed scrutiny in Washington.

At stake is more than Intel’s public image. The CHIPS Act requires strict compliance with national security provisions, and Tan’s history with Walden International — a firm tied to multiple China-linked ventures — could complicate Intel’s path to receiving federal support. President Trump’s call for Tan to “resign immediately” underscores how quickly political backlash is escalating.

Intel’s board has not issued a statement, but investors and federal officials are watching closely. Whether Tan stays or steps down, the company is now navigating more than a business challenge — it’s dealing with a political one that could shape the future of U.S. semiconductor leadership.

Also Read: Alexandr Wang Steps Down as Scale AI CEO After Meta Takes 49% Stake in $14.3 Billion Deal

The lawsuit was filed Monday night following a turbulent debut of Tesla's Robotaxi test program in late June, during which the self-driving vehicles reportedly demonstrated dangerous behavior. According to the filing, test footage showed robotaxis speeding, braking unpredictably, jumping curbs, drifting into the wrong lanes, and even dropping off passengers in hazardous locations, including the middle of multilane roads.

Following the public demonstration, Tesla's stock dropped 6.1% over two trading sessions — a reaction that shareholders claim reflects the market’s loss of confidence in the viability and safety of the company's autonomous vehicle (AV) platform.

Fraud Allegations and Investor Losses

The plaintiffs — shareholders who purchased Tesla stock between April 19, 2023, and June 22, 2025 — allege that the company knowingly misled investors about the maturity and reliability of its self-driving technology, overstating its potential to drive future growth and inflating Tesla's market value in the process.

The lawsuit asserts that both Musk and Tesla concealed the real safety risks associated with its autonomous systems and the Robotaxi project, which the company has repeatedly promoted as a major pillar of its future business model.

Tesla has long marketed its Full Self-Driving (FSD) system as a near-ready solution, with Musk going so far as to say that the company was "solving autonomy" and that Robotaxis would be on the road by mid-decade. These public statements, the complaint claims, gave investors a false impression of the system’s progress and safety record.

The plaintiffs are seeking unspecified damages tied to their investment losses during the covered time frame.

Robotaxi Test Backfires

Tesla's first public Robotaxi test was intended to showcase the latest version of its Full Self-Driving software, but the performance reportedly raised more safety concerns than confidence. According to user-captured video and eyewitness reports cited in the complaint, the vehicle’s driving decisions appeared erratic and posed dangers to both passengers and other road users.

The poor public rollout now serves as key evidence in the suit, which argues that Tesla's internal knowledge of these issues was not disclosed to investors prior to the demonstration.

Tesla Silent on Lawsuit

As of Tuesday morning, Tesla has not issued a formal response to the lawsuit and did not respond to media inquiries requesting comment.

Elon Musk has not posted publicly about the legal action, though he continues to promote Tesla’s long-term AI and autonomous vehicle roadmap via X (formerly Twitter), where he frequently engages with both fans and critics.

Tesla Faces Investigations and Lawsuits Over AV Safety Messaging

Tesla’s autonomous driving systems have been under the microscope for years — not just from investors, but from regulators in Washington. U.S. agencies including the National Highway Traffic Safety Administration (NHTSA) and the Department of Justice have launched formal investigations into Tesla’s marketing and safety practices tied to its Full Self-Driving and Autopilot features.

These probes center on whether Tesla has misrepresented the readiness or capabilities of its self-driving systems, which critics say can give drivers a false sense of security on the road.

Industry analysts have long warned that exaggerated timelines and unsupported claims around autonomy not only create road safety concerns, but also expose Tesla to lawsuits and regulatory enforcement — both of which are now starting to converge.

This shareholder lawsuit marks a turning point. For the first time, investors are seeking courtroom accountability for the company’s autonomy promises, accusing Tesla of inflating stock value based on technology that may not be ready for public roads.

Tesla Faces Investor Pressure After Robotaxi Test and Lawsuit

Tesla shares fell 6.1% in the two trading days following its first public Robotaxi test, as footage of erratic driving raised fresh doubts about the company’s full self-driving timeline. The decline reflected renewed market skepticism over Tesla’s claims of autonomy readiness — a cornerstone of its future growth strategy.

As of Tuesday, the stock remained under pressure. Investors are now watching for cues in Tesla’s upcoming earnings report, particularly any revisions to its Robotaxi rollout plans.

The lawsuit filed this week could amplify the fallout. If granted class action status, it may compel Tesla to disclose internal communications about its autonomous tech — a development that could reshape both investor expectations and regulatory scrutiny around the company’s most ambitious product line.

Also Read: Tesla Launches Robotaxi Service in Austin — Analysts Say It Could Wipe Out Traditional Car Brands

Today’s retirees are redefining their golden years: downsizing where it counts while maximizing life experiences. To help you find that sweet spot, we’ve spotlighted 10 U.S. towns where you can retire on a budget without sacrificing charm, scenery, or peace of mind.

Each city or town on this list meets three essential criteria:

• At least 12% of the population is aged 65 or older, ensuring a built-in retirement community.

• A monthly cost of living (including rent) under $9,000.

• A livability score of 60 or higher, based on factors like safety, healthcare, amenities, and affordability.

Whether you’re seeking a coastal village, an art-infused town, or a mountain retreat, here’s where you can live richly — even on a fixed income.

1. Marfa, Texas

• Population: 2,179

• Seniors (65+): 35.8%

• Monthly Cost: $3,626

• Livability Score: 73

Why Marfa?
Retirees who value minimalism, art, and wide-open skies will find Marfa a tranquil oasis in West Texas. This high-desert town is a hub for creatives and retirees who appreciate solitude, stargazing, and community-driven living.

Financial Perks: Texas has no state income tax, and Marfa offers some of the lowest real estate prices per square foot in the region — perfect for retirees cashing out of expensive metro markets.

Added Value:
Marfa’s slower pace, walkability, and supportive local services make it ideal for those seeking a peaceful, reflective retirement. It’s not for everyone — but it’s magic for the right soul.

2. Portland, Maine

• Population: 68,505

• Seniors (65+): 17%

• Monthly Cost: $5,145

• Livability Score: 85

Why Portland?
Maine’s largest city blends small-town charm with urban amenities. Located on a scenic harbor, Portland delivers four seasons of beauty, a walkable downtown, and a buzzing arts and culinary scene.

Healthcare Access:
Portland is home to Maine Medical Center, one of the best-rated hospitals in New England — a major plus for retirees prioritizing quality healthcare.

Bonus:
With coastal living without the congestion of Boston or New York, Portland offers a healthy mix of serenity and stimulation, perfect for active retirees.

3. Santa Fe, New Mexico

• Population: 88,244

• Seniors (65+): 25.8%

• Monthly Cost: $5,176

• Livability Score: 74

Why Santa Fe?
Nestled in the Sangre de Cristo foothills, Santa Fe is a haven for retirees who want to immerse themselves in art, history, and nature. The adobe architecture, turquoise skies, and cultural heritage make it one of America’s most unique retirement options.

Wellness Living:
The dry climate, altitude, and abundance of outdoor activities make it ideal for health-conscious retirees. From hiking to hot springs, it’s a destination for both the body and the soul.

Tax Facts:
New Mexico taxes Social Security income, but the state offers senior property tax exemptions and relatively low healthcare costs.

4. Whitefish, Montana

• Population: 8,422

• Seniors (65+): 23.4%

• Monthly Cost: $7,060

• Livability Score: 82

Why Whitefish?
Whitefish is perfect for retirees seeking adventure without sacrificing tranquility. It borders Glacier National Park and offers skiing, hiking, fishing, and lakeside serenity.

Retirement Lifestyle:
While it may not be the cheapest option, retirees here benefit from clean air, low crime, and a tight-knit community. It’s also a health-conscious town with access to outdoor fitness options year-round.

5. Beaumont, Texas

• Population: 113,710

• Seniors (65+): 15.6%

• Monthly Cost: $2,701

• Livability Score: 65

Why Beaumont?
If affordability tops your list, Beaumont is a standout. Located near the Louisiana border, it offers low housing costs, mild winters, and proximity to the Gulf Coast.

Community Assets:
With numerous parks, golf courses, and a growing medical infrastructure, Beaumont is a smart base for retirees who want simple living with modern conveniences.

Financial Insight:
Texas’ no-income-tax policy and Beaumont’s incredibly low monthly living costs make it appealing for retirees reliant on Social Security and pensions.

6. Leavenworth, Washington

• Population: 2,676

• Seniors (65+): 18.3%

• Monthly Cost: $5,869

• Livability Score: 84

Why Leavenworth?
A storybook Bavarian village in the Cascade Mountains, Leavenworth is a visual delight. It’s ideal for retirees who love nature, culture, and festive community life.

Health & Recreation:
With mountain air, clear rivers, and year-round outdoor activities, it’s an excellent choice for active seniors who prefer hiking trails to shopping malls.

7. Naples, Florida

• Population: 19,421

• Seniors (65+): 56.2%

• Monthly Cost: $6,030

• Livability Score: 79

Why Naples?
This Gulf Coast gem has long been a favorite for retirees. It offers white sandy beaches, excellent golf courses, and an established senior infrastructure.

Retiree Community:
With over half its population aged 65+, Naples is designed around retirees. You’ll find clubs, groups, medical services, and events tailored for senior life.

Florida Advantage:
No state income tax, no tax on Social Security, and consistent warm weather make Florida one of the most financially advantageous states for retirement.

8. Cannon Beach, Oregon

• Population: 1,368

• Seniors (65+): 39.3%

• Monthly Cost: $7,441

• Livability Score: 80

Why Cannon Beach?
Coastal elegance, quiet living, and iconic views of Haystack Rock define this Pacific Northwest treasure. It’s ideal for retirees who crave oceanfront peace without the crowds.

Who It’s For:
Nature lovers, photographers, and those seeking coastal tranquility will thrive here. While it’s not the cheapest, the setting offers emotional value that’s hard to match.

9. Seward, Arkansas

• Population: 2,735

• Seniors (65+): 18.9%

• Monthly Cost: $4,170

• Livability Score: 84

Why Seward?
A budget-friendly option with proximity to Hot Springs and abundant green space, Seward offers a relaxed pace of life, low crime rates, and tax perks.

State Benefits:
Arkansas doesn’t tax Social Security or military retirement, making it a hidden gem for budget-conscious veterans and older adults.

Community Bonus:
The area offers strong volunteer networks, local festivals, and friendly neighborhoods that welcome newcomers.

10. Portsmouth, New Hampshire

• Population: 22,332

• Seniors (65+): 21%

• Monthly Cost: $6,489

• Livability Score: 85

Why Portsmouth?
With cobblestone streets, waterfront parks, and a strong local economy, Portsmouth is perfect for retirees who want an active, cultured life by the sea.

Added Value:
Despite slightly higher living costs, the city offers access to excellent healthcare and amenities, along with no sales tax or income tax on Social Security.

Whether you're drawn to mountain towns, desert art hubs, or coastal retreats, these ten cities prove that retiring in style doesn’t have to break the bank. With strong senior communities, manageable living expenses, and high livability, they offer more than affordability — they offer a chance to enjoy retirement on your own terms, in places that feel worth the move.

Also Read: 8 Affordable Home Upgrades That Can Dramatically Increase Your Property Value

The release follows several months of internal testing and limited demonstrations, including a version of the model that quietly secured a gold medal at the 2025 International Mathematical Olympiad (IMO)—a feat not previously accomplished by any publicly known AI system. Google now aims to position Gemini 2.5 Deep Think as a platform for researchers, developers, and professionals seeking higher-order computational reasoning and planning capabilities far beyond current mainstream consumer AI tools.

Gemini 2.5 Built on Multi-Agent System Design

Unlike traditional single-agent models, which rely on a single processing pathway to solve a task, Gemini 2.5 Deep Think operates by spawning multiple independent agents. Each of these agents evaluates a problem from a different perspective or uses a unique strategy. Their outputs are then compared, synthesized, and filtered to select the most appropriate solution.

This architecture mirrors aspects of ensemble learning in machine learning but is more dynamic. It trades computational efficiency for higher accuracy and deeper reasoning. Google confirms that Gemini 2.5 Deep Think consumes significantly more computing resources than its predecessors, which is one reason it’s currently restricted to Ultra-tier subscribers and not available at the free or basic levels.

The company describes the model as “resource-intensive but capable of producing answers that show clear signs of methodical thinking and deliberation.”

Performance Benchmarks Show Clear Lead Over Rivals

In internal testing, Google says Gemini 2.5 Deep Think outperformed competing models from OpenAI, xAI, and Anthropic across several industry-standard benchmarks.

• Humanity’s Last Exam (HLE): Google’s model scored 34.8%, compared to xAI’s Grok 4 at 25.4%, and OpenAI’s o3 at 20.3%. HLE measures an AI’s ability to correctly answer a wide range of crowd-sourced questions spanning math, science, and the humanities.

• LiveCodeBench6 (Competitive Coding): Gemini 2.5 Deep Think achieved a score of 87.6%, compared to Grok 4’s 79% and OpenAI’s o3 at 72%.

These results suggest that Google’s multi-agent approach is yielding tangible performance advantages, especially on problems that require deep logic, layered dependencies, and creative constraint resolution.

Uses Range from Research to Coding

Google has already begun distributing a specialized variant of Gemini 2.5 Deep Think—the one used in the IMO competition—to a small group of mathematicians and academic researchers. Unlike commercial AI models that respond within seconds or minutes, this version is engineered to "reason for hours" if needed, offering researchers a tool that can grapple with open-ended, high-difficulty problems.

For broader users, Google says Gemini 2.5 Deep Think can assist with complex planning, creative design, and step-by-step troubleshooting. In internal use-cases, the model delivered higher-quality front-end code, more readable documentation, and better-aligned research outputs than previous Gemini models.

According to sources inside DeepMind, the model also integrates natively with tools like code execution, Google Search, and external APIs—a clear sign that Google is leaning into hybrid workflows combining AI text generation with real-time tool usage.

Training Methods Behind Gemini 2.5

Gemini 2.5 Deep Think incorporates a set of new training techniques developed in-house by Google DeepMind. According to the engineering team, these include novel reinforcement learning mechanisms that reward the model not just for correct answers, but for following multi-step reasoning processes that lead to logically valid conclusions.

This reinforcement structure pushes the AI to avoid shortcuts and hallucinations—two of the most common problems in modern language models. Instead, it emphasizes traceability of logic, so users can more easily evaluate how a conclusion was reached.

Google says the model’s behavior aligns more closely with human academic performance, in that it often works backward from a known outcome or tests multiple hypotheses before choosing a final path.

Access and Limitations

At launch, access to Gemini 2.5 Deep Think is limited. Only users of Google’s Ultra Plan—priced at $250/month—can interact with the full capabilities of the system through the Gemini app. This pricing reflects not only the infrastructure cost of running multi-agent models but also Google’s intent to position this version of Gemini as a premium tool for developers, researchers, and advanced enterprise users.

In the coming weeks, Google plans to extend access to selected developers via the Gemini API, with the goal of collecting early feedback on use cases ranging from enterprise analytics to applied mathematics.

Despite its potential, the model faces one key challenge: cost of deployment. Running multiple agents in parallel increases compute loads significantly, which means large-scale deployment to general users remains economically impractical at this stage.

Who Else Is Building Multi-Agent AI

The release of Gemini 2.5 Deep Think is part of a growing trend among leading AI labs, all of whom are investing in multi-agent architectures.

• xAI, Elon Musk’s AI venture, recently introduced Grok 4 Heavy, a multi-agent system optimized for long-form dialogue and complex coding tasks. Like Gemini 2.5 Deep Think, Grok 4 Heavy is also gated behind a premium subscription tier.

• OpenAI, though not yet publicly releasing its multi-agent system, confirmed via researcher Noam Brown that it used a multi-agent model to compete at the IMO, where it performed well in simulation but fell short of Google’s gold-medal-winning performance.

• Anthropic, known for its Claude model series, has built a Research Agent designed to assist with in-depth technical writing and long-document synthesis. That model, too, uses a form of multi-agent collaboration to build more complete answers.

While these companies have taken different paths, their convergence on the multi-agent concept reflects a growing recognition that general intelligence may require parallel thinking, not just deeper models.

How the AI Field Is Adapting

The launch of Gemini 2.5 Deep Think may accelerate the timeline for specialized AI applications in fields like academic research, software engineering, data science, and finance—domains where reliable step-by-step reasoning is essential.

It also raises questions about accessibility and inequality in AI access. With pricing that places the system out of reach for many individuals and small businesses, Google’s latest release signals a potential split in the AI market between low-cost general-purpose models and high-performance tools reserved for those who can pay a premium.

For now, the focus is on stability and data. Google says it will use the next few months to study how Gemini 2.5 Deep Think performs across a variety of tasks in the hands of real users—both to improve the model and to understand where it provides unique value over single-agent systems.

Gemini 2.5 Stays Restricted to Researchers and Ultra Users

At this stage, Google has made Gemini 2.5 Deep Think available only to users subscribed to its highest-tier Ultra plan and a small group of researchers working through the Gemini API. No official rollout plan has been announced for broader access, and the model’s substantial computational demands suggest public integration may remain limited for the foreseeable future.

A separate version of the model, designed for academic use and tested at the International Math Olympiad, is being shared with select researchers. Unlike consumer-facing AI, this variant operates at a slower pace, taking hours to produce results intended for detailed analysis rather than real-time use.

While Google's engineers are reportedly working on a more compact form of the model, suitable for wider deployment, such efforts remain in development. For now, Gemini 2.5 Deep Think serves primarily as a testbed for multi-agent reasoning—an approach that distributes problem-solving across multiple AI processes running in parallel.

Its future role in consumer products, research, or software development tools will likely depend on how the model performs outside controlled testing environments—and whether its computational cost can be reduced without sacrificing performance.

Also Read: Google CEO Sundar Pichai Sets AI Model Gemini as Top Priority for 2025

The Cyberspace Administration of China announced on Thursday that it held a meeting with Nvidia representatives, seeking clarification about so-called “backdoor safety risks” that could enable tracking or remote deactivation of the H20 chips. The agency said Nvidia is required to submit technical documentation addressing these concerns.

The request comes amid reports that Nvidia’s chips may contain mechanisms allowing their location and function to be monitored or controlled remotely—claims regulators say could pose a threat to national data security.

In a statement, Nvidia firmly denied the existence of such features. “Cybersecurity is critically important to us. NVIDIA does not have ‘backdoors’ in our chips that would give anyone a remote way to access or control them,” a spokesperson said.

The company’s return to the Chinese market came after the U.S. government eased restrictions on certain chip models, including the H20. These chips were designed to meet U.S. export compliance standards and avoid the performance thresholds that triggered previous bans. Nvidia’s CEO, Jensen Huang, had earlier confirmed the renewed access to Chinese buyers during a visit to Beijing this month.

However, the latest development threatens to derail that momentum. Chinese authorities say they are acting under national cybersecurity regulations aimed at protecting critical infrastructure and personal data. Regulators also cited concerns that the tracking features in advanced chips could be exploited for foreign surveillance or sabotage.

The case touches on growing calls in the United States to impose stricter controls on where and how advanced American-made chips are sold. Lawmakers from both parties have recently introduced the Chip Security Act, which would require high-performance chips to include hardware-based safeguards against unauthorized use or smuggling. The bill remains in committee and has not yet moved forward.

U.S. officials continue to bar the export of Nvidia’s most powerful chips—such as the H100—to Chinese buyers. Although the H20 is a scaled-down model, some policymakers argue that it still provides significant computational capacity that could support military, surveillance, or censorship applications in China.

Several lawmakers have expressed frustration over the reversal of the original ban. In a recent letter to the U.S. Commerce Department, a group of senators warned that chips like the H20 still represent a major upgrade over Chinese domestic alternatives and could undercut U.S. efforts to contain the flow of critical technology.

One congressman described the decision to allow sales of the H20 as a misstep, urging the Commerce Department to reconsider its position. He argued that supplying even downgraded chips risks enabling China’s long-term AI ambitions.

For Nvidia, the stakes are high. The company has projected strong demand for the H20 in China and was counting on sales in the region to offset slowing growth elsewhere. But if Chinese regulators withhold approval or raise further objections, those sales could be delayed or blocked altogether.

The latest confrontation highlights the increasingly complex position global tech companies face as geopolitical tensions over semiconductors intensify. As the U.S. and China continue to compete for dominance in AI and advanced computing, businesses like Nvidia are caught between competing national interests, export rules, and security demands from both sides.

Also Read: Nvidia Plans Shanghai R&D Centre Following US Export Restrictions on AI Chips

The company made the announcement on Monday, positioning the service as a step toward making digital assets usable in day-to-day business transactions without exposing merchants to volatility.

How the Checkout Process Works

Under the new system, consumers will be able to pay with their preferred cryptocurrency at checkout using major crypto wallets such as Coinbase Wallet and MetaMask. Once the transaction is complete, PayPal will automatically convert the crypto into fiat currency or PYUSD, the company’s U.S. dollar-backed stablecoin.

This instant conversion means that merchants never have to handle or store volatile crypto assets. Instead, they receive the value in USD, which settles in seconds, according to PayPal. The new functionality will be integrated into PayPal’s global merchant infrastructure.

Fee Discounts Until Mid-2026

To encourage adoption, PayPal is offering a promotional 0.99% transaction fee for all crypto payments processed through the platform. That’s significantly below the average credit card processing fee of 1.5% to 3.5%, making the service especially appealing for international transactions, where fees tend to be even higher.

This discounted rate will remain in effect until July 31, 2026, after which a revised fee structure will apply.

PayPal CEO: Crypto Payments Without Complexity

PayPal CEO Alex Chriss described the launch as a continuation of the company’s long-standing mission to simplify payments. In a statement posted to X (formerly Twitter), Chriss wrote:

“Building on our 25+ years in payments, we let users link their wallet, pay with any token, convert it instantly to PYUSD, and deliver USD to merchants in seconds. The result? Merchants pay less in fees and can instantly use funds.”

Chriss also noted that the service was designed to overcome some of crypto’s most common drawbacks, including high volatility, complicated interfaces, and the lack of mechanisms for refunds or dispute resolution.

Gradual Rollout, Beta Version Opens Soon

According to PayPal, the service will be made available to businesses in phases. A beta version will launch in the coming weeks, allowing early adopters to test the functionality and provide feedback. Broader access will follow later in the year.

The company says the rollout will focus initially on regions with strong crypto infrastructure and compatible regulatory environments.

Linking With U.S. Crypto Policy Milestones

The timing of PayPal’s new crypto integration comes just days after President Trump signed the GENIUS Act into law. The legislation—considered the first comprehensive regulatory framework for the U.S. stablecoin market—marks a pivotal moment for digital currencies in the United States.

With an estimated $250 billion stablecoin market now falling under federal oversight, the move opens the door for large-scale financial institutions and fintech firms like PayPal to expand crypto-based services with regulatory clarity.

Strategic Use of PYUSD

PayPal’s PYUSD stablecoin, issued by Paxos Trust and backed 1:1 by U.S. dollars, plays a key role in the company’s new offering. By converting customer crypto payments into PYUSD and then settling to USD, PayPal minimizes exposure to volatility and ensures compliance with emerging U.S. stablecoin laws.

PYUSD was launched in 2023 but has gained limited traction until now. The new merchant system gives the stablecoin a more central role in PayPal’s long-term blockchain strategy.

Millions of Merchants May Benefit

PayPal serves tens of millions of merchants globally, and the addition of crypto payments could significantly expand its capabilities in the cross-border commerce space. The simplified process allows merchants to bypass traditional foreign exchange and card processing hurdles—potentially improving profit margins and speeding up settlement times.

The GENIUS Act gives companies like PayPal a legal foundation to expand crypto payment tools with clearer regulatory backing. By integrating support for over 100 cryptocurrencies, PayPal is aligning its business with newly established federal rules governing stablecoins.

Also Read: PayPal Launches Dollar-Pegged Stablecoin: Seamless Payments in the Crypto Sector

The AI system is trained to match existing rules with the laws that authorized them. If a rule is linked to expired legislation, has been overridden by newer statutes, or lacks current legal basis, the system flags it for further review. DOGE staff are aiming to reduce the number of active regulations by half within the first year of Donald Trump’s return to the White House.

The project is currently internal and has not been publicized by the White House or DOGE on official channels.

Regulations at HUD and CFPB Already Reviewed

Although the tool has not been formally announced, its use has already begun inside federal agencies. According to the internal presentation, the Department of Housing and Urban Development (HUD) was one of the first departments to undergo a review. The AI system also assisted in drafting deregulation efforts at the Consumer Financial Protection Bureau (CFPB).

DOGE claims that the tool was used to generate the content for all deregulation proposals currently under review at the CFPB. It is unclear if those proposals have cleared legal review or reached the final stage of approval.

These initial tests are seen as pilots for a broader rollout across the executive branch.

White House Informed, But Final Plan Still Pending

A spokesperson for the administration acknowledged awareness of the deregulation initiative but confirmed that no final policy has been signed or publicly approved. While there is support for the underlying technology and its potential to streamline government, the administration has not released any official order or timeline.

The project appears to be moving forward independently within DOGE, with regular updates being shared with senior White House staff.

Review Process Requires Human Oversight

The AI system is not authorized to make final decisions on its own. Once a regulation is flagged by the software, legal analysts and department-level officials are required to review the finding. Only after this secondary process can a regulation be submitted for repeal or modification.

According to internal sources, the tool is meant to speed up the identification process, not replace legal judgment or statutory interpretation.

All final actions must pass through the traditional regulatory review channels, including the Office of Information and Regulatory Affairs (OIRA) when necessary.

Earlier Software Faced Problems with Accuracy

This is not the first time DOGE has experimented with AI-based systems. During earlier testing, another AI tool used to evaluate federal contracts produced incorrect data related to the Department of Veterans Affairs. That version of the system inflated contract values and misinterpreted contract scope due to faulty logic in how it parsed procurement records.

Following those issues, DOGE introduced stricter internal checks on any AI-generated output. All drafts, recommendations, or summaries produced by the system must now be reviewed manually by legal and policy staff before they are submitted or acted upon.

Focus Remains on Statutory Compliance

Unlike past deregulation efforts that focused on political priorities or cost-benefit analyses, the current approach is focused on legal compliance. DOGE’s goal is to identify and remove rules that no longer have a valid legal foundation — not to target specific policy areas.

Officials working on the project say the approach is intended to avoid legal disputes by focusing only on rules that are already unenforceable or obsolete.

This legal-first strategy is seen as a way to achieve broad reductions in federal regulation without triggering extended court battles or requiring new legislation.

Also Read: Elon Musk Claims DOGE Will Save $1 Trillion as He Exits Washington Role

The expanded setup means that merchants using Wix no longer need to log into PayPal separately to track payments made via PayPal Wallet, Venmo, or Pay Later. All transaction activity — from real-time sales data to customer refunds and payout reports — can now be reviewed and managed in one central dashboard.

This tighter integration, now live for users in the U.S., is aimed at making it easier for businesses to stay on top of their finances and improve the checkout experience for customers, particularly those using alternative digital wallets or installment options.

All-In-One Payment System With PayPal Infrastructure

With the new setup, PayPal has been formally added as a Payment Service Provider (PSP) within Wix Payments. That change enables Wix to route card transactions and PayPal-powered payments through a unified infrastructure, removing the need for third-party tools or external syncing.

Previously, Wix merchants using PayPal had to rely on a partially connected process to accept and track those transactions. Now, purchases made using PayPal’s digital wallet will be deposited straight into a merchant’s Wix Payments balance. That eliminates lag time, minimizes manual transfers, and gives store owners an immediate overview of how PayPal activity is affecting their revenue.

Access to Venmo and Pay Later at Checkout

The integration also enables Wix users to offer Venmo and PayPal’s Pay Later options to customers at checkout. These additions are critical for capturing mobile-first consumers and shoppers who prefer installment-based payment models.

For businesses, this expands payment acceptance without requiring additional plug-ins or custom code. According to data from both companies, access to flexible checkout methods can lead to higher cart completion rates and increased average order values — particularly in categories like fashion, tech, and health products, where Venmo and Pay Later usage is on the rise.

Executive Insight From Wix and PayPal

Wix Payments co-heads Amit Sagiv and Volodymyr Tsukur said the change gives Wix more oversight over how PayPal’s tools are delivered, customized, and maintained inside the platform. “This isn't just about integration,” they said. “It's about giving businesses a checkout system that's more predictable, more flexible, and more profitable.”

They emphasized that Wix is now better positioned to adjust how PayPal's tools work in real time — whether that's optimizing for speed at checkout, or adjusting fraud filters based on merchant feedback.

From PayPal’s side, Michelle Gill, VP and GM for small business and financial services, pointed to the benefits of a native, in-platform experience. “Embedding our payment tools directly into Wix means small businesses no longer have to manage separate accounts, dashboards, or settlement schedules. Everything lives in one place — that’s a game-changer for small teams with limited bandwidth.”

U.S.-Only for Now, Global Rollout Expected

At present, the enhanced PayPal integration is only available to merchants operating in the United States. Wix confirmed plans to expand to other markets but did not specify a timeline.

U.S. businesses get the full benefit: real-time transaction data, unified customer insights, access to PayPal’s most widely used consumer tools, and consolidated financial reporting — all under Wix’s native payment system.

Also Read: PayPal to Launch 'PayPal World' Connecting Wallets and Payment Systems Worldwide

The goal is to make it easier for people to use their existing wallets or payment systems to purchase goods or send money internationally, without needing to switch currencies or platforms.

Platform Will Support Local Wallets for International Use

With PayPal World, users will be able to make payments for international goods and services using their local wallet in their own currency. The system is being developed to support both online and in-store payments, as well as newer methods that involve AI-powered agents.

For businesses, the platform will allow access to a wider base of customers around the world, even if those customers use different digital wallets. By handling the technical and financial connections between different payment systems, PayPal World is intended to reduce the complexity of expanding into new markets.

Launch Partners Include UPI, Tenpay, Mercado Pago

PayPal has confirmed several initial partners that will be part of the launch phase:

• Venmo (U.S.)

• PayPal

• Mercado Pago (Latin America)

• NPCI International Payments (India's Unified Payments Interface)

• Tenpay Global (Tencent’s global payments arm)

The company expects more partners to join as the platform rolls out in stages.

Platform Built on Scalable, Open Technology

The system will operate on a cloud-based architecture designed to offer high availability and fast performance. According to PayPal, it will include open commerce APIs and support a variety of technologies used by different partners.

PayPal describes the platform as "technology-agnostic," which means it doesn’t require wallet providers or payment systems to change how their software works in order to connect.

PayPal CEO Says New Platform Will Expand Market Access

PayPal President and CEO Alex Chriss said the new platform is intended to bring together a wide range of payment systems and digital wallets under one roof.

“This is the first time many of the world’s major wallets and payment systems will be able to work together through a single connection,” Chriss said. “The changes we’re making have the potential to reshape how users and businesses interact globally.”

Chriss added that PayPal is in active discussions with other major wallet providers and expects the list of partners to grow rapidly after the initial launch.

Stablecoin Expansion Also in Progress

Separately, PayPal is preparing to expand its USD-backed stablecoin, PYUSD, to the Stellar network, pending regulatory approval. That move would allow PYUSD to operate on both Ethereum and Stellar, making it available for faster and lower-cost transactions.

While unrelated to PayPal World, the stablecoin initiative is part of the company’s broader payments strategy.

Platform Expected to Launch This Fall

PayPal World is on track to become operational this fall, with partner integration and feature expansion continuing throughout the year. The company has not yet disclosed specific rollout countries or regions, but early partners suggest a focus on markets in North and South America, Asia, and India.

The new platform marks a strategic shift toward simplifying how domestic wallets and payment systems interact internationally, especially for users who prefer to pay in local currency without switching tools or signing up for new services.

Also Read: PayPal Launches Dollar-Pegged Stablecoin: Seamless Payments in the Crypto Sector

These signals are strong enough to interpret hand movements—even if no visible movement actually occurs. The system is being developed specifically for people with spinal cord injuries or motor impairments who cannot operate standard devices. In early tests, the device enabled users to open apps, move cursors, and even type messages in mid-air by mimicking writing gestures with their hand or wrist.

Detecting Intent Without Physical Movement

What makes Meta’s project notable is its ability to register intention, not just motion. The sEMG sensors sit along the forearm and pick up nerve signals that travel from the brain to the hand—even if the hand itself doesn’t respond. This approach allows the wristband to decode user intent in real time, turning those signals into digital commands.

“This isn't about just reading movements—it’s about understanding what a user wants to do before the movement happens,” said Douglas Weber, a professor of biomedical engineering at Carnegie Mellon, who is advising on the project. For individuals with complete hand paralysis, that distinction is crucial. Their muscles still generate tiny electrical signals when they attempt to move, and Meta’s wristband can isolate and interpret them.

Early Clinical Trials Are Underway

Meta has begun pilot trials with volunteers who have spinal cord injuries. The research team is focused on determining how reliably the device can translate muscle signals into specific actions, such as clicking, scrolling, or text input. According to a study recently published in Nature, the wristband required only a short training period before participants could perform basic computing tasks.

In one test, a participant who could not physically write was still able to “write” a sentence in the air, and the wristband translated it into on-screen text. In another, users successfully navigated interfaces using only finger twitches detected through the device’s sensors.

The trials are still in early stages, but Meta researchers say the technology shows strong potential for assistive computing—and could eventually have wider applications.

A Simpler, Safer Alternative to Brain Implants

Unlike Elon Musk’s Neuralink, which involves surgically implanting electrodes into the brain, Meta’s device works entirely from the surface of the skin. It doesn’t carry the risks associated with invasive neural interfaces, such as infection, rejection, or long-term unknown effects.

Headsets that rely on electroencephalography (EEG) to read brain waves are non-invasive but lack precision due to signal noise and low resolution. By contrast, the sEMG approach captures signals closer to the muscles, allowing for more precise and responsive input. In practice, this means Meta’s wristband can detect an intended action and carry it out on-screen in milliseconds—without needing to physically press a button or touch a screen.

Built for Accessibility First

Although the technology could one day be used in consumer devices for gaming, virtual reality, or hands-free computing, Meta is focusing first on disability support. The immediate goal is to provide a reliable tool for people with motor impairments, such as ALS or spinal cord injuries, to access digital environments without needing adaptive hardware or external caregivers.

“We’re not building this to replace the keyboard or mouse right away,” said a Meta engineer familiar with the project. “We’re trying to build a bridge between the human nervous system and modern devices—starting with the people who need it most.”

While commercialization is still a long way off, Meta’s research adds to a growing push in the tech world toward more intuitive, accessible human-computer interfaces. And unlike many moonshot projects in the space, this one may not require brain surgery to become practical.

Also Read: U.S. Cybersecurity Officials Warn: Hackers Are Stealing Passwords from TeleMessage Users

The vulnerability allows attackers to extract private cryptographic keys from self-hosted SharePoint servers. With those keys in hand, hackers can plant malware, access internal files, and move laterally across networks to reach other connected systems.

According to security analysts, this type of exploit could have devastating consequences for organizations that store proprietary or confidential information in SharePoint—especially companies in defense, technology, healthcare, and government sectors.

Three China-Backed Groups Behind the Exploits

Microsoft says it has directly observed three separate hacking groups tied to China actively exploiting the SharePoint zero-day since at least July 7.

Two of these groups—Linen Typhoon and Violet Typhoon—have been linked to past cyber-espionage campaigns. Microsoft reports that Linen Typhoon primarily focuses on stealing intellectual property, often targeting advanced research and development data. Violet Typhoon, meanwhile, specializes in extracting personal information, likely for espionage purposes.

A third group, identified as Storm-2603, is also involved in exploiting the SharePoint bug. Microsoft has less public intelligence on Storm-2603 but noted that the group has previously been associated with ransomware attacks, suggesting a mix of espionage and financial motives.

These coordinated attacks are part of what experts believe is a state-backed campaign, with the hacking groups operating either directly under Chinese government control or with tacit state support.

Exploits Started Before Patch Was Available

The vulnerability is classified as a zero-day, meaning hackers were already using it before Microsoft had a chance to issue a fix. Zero-days are among the most dangerous types of software vulnerabilities because there’s no defense available when attackers first strike.

Microsoft says patches are now available for all affected versions of SharePoint, but security researchers warn that it may be too late for many organizations. Companies that operate self-hosted SharePoint servers are particularly at risk because those systems are often less frequently updated compared to cloud-managed services.

According to Microsoft, dozens of organizations have already been breached, and the list is expected to grow as more forensic investigations unfold.

Google Confirms the Scope of the Attacks

At Google’s Mandiant division, which specializes in incident response, security leaders are also tracking the campaign. Charles Carmakal, Chief Technology Officer at Mandiant, confirmed that at least one of the hacking groups involved has ties to China. However, he noted that multiple threat actors are now exploiting the vulnerability, raising concerns that the exploit code may have circulated beyond its original operators.

The fact that multiple groups are using the same flaw suggests either coordination or rapid copycat activity—both common in high-stakes state-sponsored cyberattacks.

Government and Private Sector Targets Breached

The ongoing attacks have already affected a mix of government agencies, private corporations, and critical infrastructure organizations, according to security researchers tracking the breaches. The specific names of victims have not been publicly disclosed, but the pattern reflects a typical Chinese cyber-espionage playbook: collect proprietary information and intelligence by compromising widely used business software.

Microsoft’s SharePoint is deeply embedded in corporate and institutional environments, making it an appealing target for large-scale exploitation. Many companies rely on SharePoint for storing confidential documents, intellectual property, and sensitive internal communications.

China’s History of Targeting Microsoft Servers

This is not the first time hackers linked to China have been accused of targeting Microsoft’s server software. In 2021, attackers believed to be part of the Chinese hacking group known as Hafnium carried out a massive breach of self-hosted Microsoft Exchange servers. That attack compromised more than 60,000 servers worldwide, exposing email accounts, contact lists, and other private data.

The U.S. Justice Department later indicted two Chinese nationals connected to the Hafnium operation, accusing them of orchestrating the hacks and stealing trade secrets on behalf of China’s government.

This latest SharePoint attack fits a similar pattern, although the vulnerability is different, and the scale of the breach is still unfolding.

No Response From Beijing

A spokesperson for the Chinese Embassy in Washington, D.C. did not respond to requests for comment on the SharePoint breaches. Historically, the Chinese government has denied direct involvement in hacking campaigns, though it rarely offers detailed rebuttals when specific incidents are reported.

Cybersecurity experts say state-backed hacking remains a key part of China’s global strategy, allowing it to collect commercial, military, and diplomatic intelligence without formal diplomatic conflict.

What Organizations Should Do Now

Security teams managing self-hosted SharePoint environments are being urged to assume compromise unless they have airtight evidence to the contrary. Microsoft’s security guidance recommends:

• Applying all available patches immediately

• Conducting forensic reviews of server activity dating back to early July

• Checking for signs of lateral movement across the network

Even organizations that believe they’ve patched in time should review their systems for suspicious behavior. Once hackers gain access to internal networks, they often leave backdoors or other malicious code behind to maintain long-term control.

Hackers Are Turning Enterprise Software Into a Weapon

Chinese-linked hacking groups are now using the SharePoint zero-day to break into organizations not by attacking individual users, but by compromising the systems that manage their most sensitive data. SharePoint is a central tool for companies and government agencies worldwide—it stores internal documents, proprietary research, financial records, and confidential communication between departments. Gaining access to these systems gives attackers a direct route into the core of corporate and institutional operations.

Microsoft and Google have confirmed that at least three China-backed hacking groups are involved. Each is using the same exploit, but for different goals. One group is stealing trade secrets. Another is gathering personal information for espionage. A third has previously been linked to ransomware deployments.

Security analysts say the attackers have shifted from targeting endpoints to breaching the tools organizations use to run their daily operations. By exploiting enterprise collaboration software, these groups are gaining long-term access to networks, often without triggering alarms. The SharePoint zero-day is the latest example, and experts warn it may become one of the most damaging exploits seen this year.

Also Read: U.S. Cybersecurity Officials Warn: Hackers Are Stealing Passwords from TeleMessage Users

TeleMessage is designed for companies and government agencies that need to archive encrypted chats for legal compliance. Unlike regular versions of Signal or WhatsApp, TeleMessage stores conversations so they can be reviewed for regulatory or legal purposes. The platform also offers versions of Telegram and WhatsApp with similar archiving features.

Hackers Are Actively Exploiting the Flaw

Security firm GreyNoise, which monitors hacking activity across the internet, reported this week that attackers are repeatedly trying to exploit the TeleMessage security bug. The vulnerability was first made public in May 2025 but remains unpatched on many systems.

“If attackers are successful, they can gain access to sensitive data like usernames and passwords in plain text—not encrypted,” said Howdy Fisher, a researcher at GreyNoise. Fisher described the exploit as shockingly simple to carry out, and warned that many organizations have not yet secured their systems.

GreyNoise has detected several ongoing attempts to break into TeleMessage servers using this method, confirming that hackers are still actively targeting the flaw.

U.S. Government Confirms the Threat

The Cybersecurity and Infrastructure Security Agency (CISA), part of the U.S. Department of Homeland Security, officially added this flaw to its Known Exploited Vulnerabilities (KEV) list earlier this month. The designation is serious: It means hackers aren’t just testing the flaw—they’re using it in real attacks.

The vulnerability is cataloged as CVE-2025-48927 in federal security databases. By including it in the KEV list, CISA is signaling to federal agencies, critical infrastructure companies, and private businesses that they must patch the issue immediately to protect sensitive data.

No Public Reports of Breached Organizations—Yet

So far, no specific government agency or business has publicly confirmed that they were hacked through this latest TeleMessage flaw. However, based on both CISA’s warning and GreyNoise’s monitoring, security experts believe real-world exploitation is happening right now.

TeleMessage’s Troubled History with Security

This isn’t the first time TeleMessage has been at the center of a cybersecurity crisis.

In May 2025, hackers broke into TeleMessage servers and stole private messages and group chats from high-profile users. Victims included:

• Customs and Border Protection (CBP), a U.S. government agency

• Coinbase, one of the largest cryptocurrency exchanges

• Members of the Trump administration, including officials involved in military planning

That breach came to light after then-National Security Advisor Mike Waltz accidentally revealed he was using TeleMessage. Waltz had mistakenly added a journalist to a secret group chat where administration officials were discussing plans for a military operation in Yemen. The resulting scandal led to Waltz’s removal from his position.

After this incident, TeleMessage, which had been relatively unknown outside corporate IT circles, became widely recognized—and scrutinized—for its role in government communications.

What Makes This Vulnerability So Dangerous?

According to cybersecurity experts, the current TeleMessage flaw is especially concerning for several reasons:

• It’s easy to exploit. Hackers don’t need advanced tools or insider knowledge.

• It exposes plaintext data. Normally, messaging apps encrypt usernames, passwords, and messages. This flaw leaves that information unprotected during an attack.

• It affects compliance-focused organizations. Companies and agencies using TeleMessage often store sensitive conversations for legal reasons. If those messages are stolen, it could lead to regulatory violations, lawsuits, or national security risks.

• The issue is still unpatched in many systems. Despite public warnings in May, GreyNoise has confirmed that many servers remain vulnerable.

Why Is TeleMessage Used Instead of Signal?

TeleMessage markets itself as a "compliant alternative" to popular apps like Signal, WhatsApp, and Telegram. For businesses and government agencies that are required to archive chat logs for legal or security reasons, TeleMessage offers versions of these apps with added storage and monitoring features.

These archived communications are often sensitive. In regulated industries like finance, healthcare, or defense, unauthorized leaks could have serious consequences.

No Comment from TeleMessage

Despite repeated security warnings, TeleMessage has not released a public statement about the vulnerability or the ongoing hacking attempts. Requests for comment sent to the company were not answered as of publication.

How Can Organizations Protect Themselves?

Cybersecurity experts recommend that all TeleMessage users:

• Immediately apply security patches if available

• Check server configurations to close exposed systems

• Monitor networks for unusual activity related to login credentials or data transfers

• Use secure channels for high-risk communications until the flaw is confirmed resolved

If your organization uses TeleMessage and you haven’t updated or reviewed your systems since May 2025, your data could be at risk.

How to Report Security Incidents

Anyone with information about these attacks or vulnerabilities can contact reporter Lorenzo Franceschi-Bicchieraisecurely for further investigation:

• Signal: +1 917 257 1382

• Telegram / Keybase: @lorenzofb

• Email: Use a personal device and non-work network for safety

Also Read:

• Microsoft Exits Pakistan After 25 Years of Operations – Key Reasons Behind the Exit
• Nvidia Receives Dozens of Site Offers for Planned AI Campus in Israel
• TikTok Developing New U.S.-Only App as Trump Signals Sale Deal Is Close

The tech powerhouse, headquartered in Santa Clara, California, recently issued a formal request for information (RFI) aimed at securing a location for a massive new campus near its existing facilities in northern Israel. The proposed development is expected to cover up to 180,000 square meters and may involve an investment worth billions of dollars. Industry insiders suggest the project could create several thousand new jobs.

Nvidia, known for its cutting-edge AI processors, first entered the Israeli market in 2020 following its $6.9 billion acquisition of Mellanox Technologies. The company’s current Israeli operations are centered in Yokne'am, a tech-centric city near Haifa, where it continues to grow its influence in the local high-tech landscape.

Although Nvidia has refrained from making public statements beyond its initial RFI, interest from across Israel has been substantial. One individual with direct knowledge of the situation said the company has received “an overwhelming number” of site proposals, extending far beyond the Haifa region.

Haifa's city officials have confirmed their participation in the process. “We are actively working on a compelling offer for Nvidia,” a municipal representative said. “Haifa holds great strategic value and is well-positioned to support a project of this scale.”

Nvidia’s expansion efforts come amid a global AI infrastructure race involving major tech players such as Microsoft, Meta, Alphabet, and Tesla. The surge in demand for high-performance AI data centers has amplified interest in Nvidia’s advanced chip technologies, driving up the need for additional production and research capacity.

Israel’s reputation as a leading hub for innovation and engineering has made it an attractive base for Nvidia's long-term growth strategy. Since acquiring Mellanox, the company has nearly tripled its local workforce. A source close to the company noted that Mellanox's contributions helped generate approximately $13 billion in revenue for Nvidia last year, though the figure has not been officially confirmed.

Today, Nvidia employs around 5,000 people in Israel and continues to invest in the region through strategic acquisitions and infrastructure projects. Among its major achievements is the construction of Israel’s most powerful AI supercomputer, which served as a reference model for Elon Musk's Colossus supercomputer initiative.

Dror Bin, CEO of the Israel Innovation Authority, emphasized the significance of Nvidia’s latest move. “This expansion shows Nvidia’s strong commitment to Israel,” Bin said. “They view their presence here not just as an operational necessity, but as a core part of their long-term strategy.”

While Nvidia scales up, longtime rival Intel—another major tech player with deep roots in Israel—is undergoing a different trajectory. Intel, which has been operating in Israel since 1974 and employs over 9,000 people, has begun to downsize as part of a global restructuring. Although exact figures remain undisclosed, Israeli media reports suggest that several hundred local jobs may be affected.

The deadline for submitting land proposals to Nvidia is set for July 23, with municipalities and landowners racing to present compelling bids. Once the window closes, Nvidia will begin reviewing the offers, focusing on strategic value, proximity to its current operations, and potential for long-term growth. The selected location will form the foundation for a large-scale development expected to play a central role in the company’s regional operations.

Also Read: Nvidia Eyes $4 Trillion Market Cap After Stunning Comeback, Reclaims Title of Most Valuable Company

This move comes in direct response to a 2024 U.S. law that prohibits the operation of TikTok under Chinese ownership. The law, signed by President Joe Biden, mandates that ByteDance must sell TikTok’s American business to a U.S.-based or allied entity by January 19, 2025. Without a completed sale, TikTok will be blocked from app stores and U.S. cloud services, effectively banning the app across the country.

President Donald Trump, who has extended the enforcement deadline three times through executive orders, most recently pushed the date to September 17, 2025. Speaking to reporters aboard Air Force One on July 4, Trump said a deal to sell TikTok’s U.S. operations is “pretty much” complete. He confirmed that additional discussions with Chinese officials were scheduled for the week of July 8 and noted that a final agreement may require approval from Chinese President Xi Jinping.

TikTok, which has more than 150 million active users in the United States, is a major player in the social media space. ByteDance’s plan to release a localized version of the app reflects both the commercial value of retaining its U.S. audience and the growing complexity of regulatory compliance.

The new app, known internally as M2, is designed to operate independently from the global version. ByteDance is expected to support the migration of existing U.S. users to the platform once it becomes available.

While no sale has been officially announced, several high-profile names have expressed interest in acquiring TikTok’s U.S. business. Tech investor Frank McCourt Jr. has been involved in discussions, alongside figures such as Oracle co-founder Larry Ellison and Microsoft. A prior proposal reportedly outlined a deal in which ByteDance would retain a minority stake, but no final terms have been made public. Any agreement would require approval not just from the U.S. government, but also from Chinese regulators, who have grown increasingly cautious amid trade tensions.

In recent years, U.S. lawmakers have repeatedly raised concerns about TikTok’s ownership structure, warning that data from American users could be accessed by the Chinese government or manipulated to influence public opinion. Although ByteDance has denied any misuse of user information, the U.S. Supreme Court ruled in June 2025 that the government was within its rights to enforce the divestment order, citing national security as a legitimate concern.

ByteDance has made previous efforts to address regulatory worries by shifting U.S. user data to domestic servers managed by Oracle, but those measures have not satisfied legal requirements. Under the current law, only a complete change in ownership will prevent the app from being removed from U.S. platforms.

The launch of the new app is likely to be a critical step in TikTok’s future in the United States. ByteDance will need to demonstrate that it can separate the American version of the platform from its international infrastructure, both in terms of data handling and corporate control. Whether the effort is enough to meet federal standards will depend on how the pending acquisition is structured and approved.

If no agreement is reached, the app will be banned from major U.S. digital platforms, cutting off millions of users and reshaping the country’s social media landscape. If the sale moves forward and the new app is deemed compliant, TikTok could retain its presence in one of its largest and most profitable markets—albeit under very different terms than before.

Also Read: Trump Gives TikTok 75-Day Lifeline to Finalize U.S. Deal and Avoid Ban

A Microsoft spokesperson said in a statement, “Our services will continue through trusted partners, and customers in Pakistan can expect the same quality of support moving forward.” The company emphasized that it uses this model in other countries as well.

Just five employees were affected by the shutdown. Microsoft did not have an engineering team in Pakistan — its operations were limited to sales of products like Azure and Office 365.

Microsoft’s Global Layoffs Hit Pakistan Operations

This move comes on the heels of Microsoft’s broader restructuring, which includes a 4% global workforce reduction — about 9,000 jobs. Pakistan’s local office appears to be a casualty of this shift, though the company had already transferred licensing and contract responsibilities to its European hub in Ireland in recent years.

The Ministry of Information and Broadcasting acknowledged the exit as part of Microsoft’s global changes and expressed intent to keep working with the tech giant to support Pakistani customers and developers through indirect channels.

Former Country Head Blames Failing Business Climate

Jawwad Rehman, Microsoft’s first country lead in Pakistan, reacted strongly to the news. In a LinkedIn post, he called the exit “a sobering sign” of the state of Pakistan’s business environment. “It shows how even global giants can find it unsustainable to stay here,” he wrote.

His comments echoed growing concerns in Pakistan’s tech and startup space about the lack of follow-through from leadership and policymakers when it comes to supporting global investment and partnerships.

IT Freelancing Missteps Hurt Pakistan’s Global Standing

Beyond corporate restructuring, industry experts point to Pakistan’s growing trust issues in the global IT and outsourcing space. While thousands of Pakistanis work through platforms like Upwork and Fiverr, many international clients have reported negative experiences — ranging from poor-quality work and missed deadlines to incomplete projects and even data loss.

These patterns have raised red flags, especially in sensitive markets like the U.S., Europe, and Australia. The situation is worse for clients from India and Israel, who already face political hurdles and often report poor communication and payment complications when working with Pakistani providers.

“Hired a freelancer from Pakistan on Upwork… paid out $150. 24 hours later, Google Bots crawled my Google Sheet and found phishing malware lurking in the background…”

— Upwork client, r/Upwork

Microsoft Closure Clashes with New IT Certification Plan

Ironically, Microsoft’s closure comes just days after the Pakistani government launched a new initiative to offer international tech certifications to 500,000 youth — including from Microsoft. The program aims to boost job opportunities in the global digital economy.

However, with Microsoft withdrawing its direct presence, the move now feels disconnected. While the company’s certification programs may still continue through partners, the timing raises questions about Pakistan’s ability to retain tech leadership on the ground.

Also Read: Pakistan's Economic Crisis: Analyzing Challenges and Charting a Path to Financial Stability

Pakistan Lags Behind India in Tech Investment

Unlike India, which has attracted major R&D and engineering investments from global tech firms, Pakistan has never positioned itself as a serious destination for product development or innovation. Its tech ecosystem is largely dominated by local firms and Chinese companies like Huawei, which cater to telecoms and banks.

If Pakistan wants to change that, experts say the country needs more than just training programs or digital initiatives. It must improve transparency, enforce contracts, protect investors, and rebuild trust — both in freelancing and enterprise services — to stop more exits like Microsoft’s in the future.

Also Read: These 5 AI Startups Have Gained Nearly 400% in 2025

In 2025, five companies — all relatively young, all building ambitious tech in areas like robotics, search, and automation — have seen their private share prices skyrocket. On average, they’re up nearly 400% since January. In total, these firms have added over $68 billion in estimated value. That’s not a rounding error — that’s a signal.

To be clear, this isn’t some widespread comeback for venture capital. Most early-stage startups are still stuck in a slow-moving funding environment. Investors remain picky, rounds are leaner, and many founders are being told to “extend runway” and wait it out. But for a small group of companies with products that feel ready — not just possible — the money is showing up fast.

The secondary market, where existing shares are traded among investors, is one place where this heat is showing. It’s expected to hit $60 billion this year, up sharply from 2024. But most of that activity is centered around a handful of high-demand startups that are drawing serious interest — not just because they’re riding the AI wave, but because they seem to have something real.

Here’s a closer look at the five startups that have captured investor attention in a year where attention has been hard to earn.

1. Figure AI

Estimated Valuation: $35.26 Billion
YTD Share Price Growth: +1,012%
Founded: 2022

Figure AI is no longer a wild moonshot — it’s now one of the most closely watched companies in the robotics world. With its humanoid robots designed to work in factories and, eventually, homes, Figure is capturing a future where machines handle the repetitive, dangerous, and exhausting tasks humans no longer need to do.

Its latest $1.5 billion funding round sent ripples through the VC community, not just for its size but for what it signals: the era of functional, AI-powered robots is arriving sooner than expected. With companies like Tesla also pushing into this space, Figure is racing ahead — and winning attention with real-world prototypes and strategic partnerships.

2. Ripple

Estimated Valuation: $15.64 Billion
YTD Share Price Growth: +286.16%
Founded: 2012

Once a lightning rod in crypto legal battles, Ripple is now positioning itself as a foundational layer in the next generation of financial infrastructure. After years of wrangling with regulators, the company has cleared major legal hurdles, giving it a clearer runway to scale its blockchain-based payment systems globally.

The timing couldn’t be better. As traditional finance inches toward decentralization, Ripple’s tools for fast, low-cost cross-border payments are in high demand. It’s a comeback story with teeth — backed by deep tech, long-term believers, and a sense that the crypto winter might finally be thawing.

3. Perplexity

Estimated Valuation: $10.99 Billion
YTD Share Price Growth: +260.16%
Founded: 2022

Perplexity didn’t just set out to build a search engine — it aimed to rebuild the entire experience of finding information online. In a world dominated by ads and SEO tricks, Perplexity’s AI-powered interface gives users direct, cited answers in real time. It feels less like a search engine, more like having a researcher at your side.

The product has earned it backing from serious names, including Nvidia and Jeff Bezos. Now, with a rumored billion-dollar raise in the works, the startup is expected to push beyond its niche audience and take a real swing at becoming a household name. In the age of AI overload, clarity might just be the next killer app — and Perplexity is betting big on that.

4. xAI

Estimated Valuation: $91.59 Billion
YTD Share Price Growth: +231.33%
Founded: 2023

In typical Elon Musk fashion, xAI launched with lofty goals — building artificial general intelligence — and has moved with startling speed. Now tightly integrated with Tesla and the platform formerly known as Twitter (now just “X”), xAI is developing models that interact with millions of users daily through the Grok chatbot.

What makes xAI different isn’t just the tech — it’s the distribution. By embedding AI directly into Musk’s ecosystem of products, xAI isn’t waiting for users to come to it. It’s showing up where they already are. Whether that bet pays off in the long term remains to be seen, but so far, investors are leaning in hard — and the market is following suit.

5. Nuro

Estimated Valuation: $5.99 Billion
YTD Share Price Growth: +178.65%
Founded: 2016

Nuro isn’t chasing headlines — it’s chasing efficiency. With its sleek, driverless delivery pods already in pilot programs with grocery and restaurant chains, Nuro is quietly building the backbone of future urban logistics.

Where some AV companies are stuck in the regulatory swamp of robotaxis, Nuro has carved out a less controversial, more scalable niche: last-mile delivery. In a world where instant delivery is no longer a luxury but an expectation, Nuro’s tech feels not only viable — but inevitable.

What’s Actually Happening

The surge in these five startups isn’t part of some broad tech recovery — it’s the exception. Most young companies are still stuck pitching to cautious investors, navigating smaller checks, and slower timelines. But when a startup shows real traction — not just a flashy pitch deck — the money moves fast.

Figure AI has a robot that works. Perplexity is giving people a reason to question Google’s grip on search. Ripple is outliving regulatory battles. These aren’t just ideas — they’re products already in motion, and that’s what’s pulling attention and capital.

It’s not about who’s loudest in the AI space anymore. It’s about who can actually ship. And in 2025, these five companies aren’t floating on hype — they’re standing on working code, working machines, and hard-won investor trust.

Also Read: The Top AI Companies in 2025 — Who’s Really Leading?

According to the firm, xAI raised $5 billion through debt and another $5 billion via a strategic equity round. This hybrid approach not only helps reduce the overall cost of capital but also gives xAI access to a broader network of investors. The fresh capital will support major infrastructure efforts — including plans for one of the largest AI data centers globally — and accelerate development of its conversational AI platform, Grok.

The deal follows a $6 billion equity round closed in December, which featured heavyweight backers like Nvidia, AMD, Andreessen Horowitz, Sequoia Capital, Fidelity, BlackRock, and Saudi Arabia’s Kingdom Holdings. With this latest injection, xAI has now raised approximately $17 billion — a funding level that puts it in rare company within the fast-moving AI race.

xAI’s momentum comes as Musk seeks to position the company as a direct competitor to OpenAI, Anthropic, and other major players building next-gen AI systems. While the company hasn’t offered comment yet, this funding milestone suggests that Musk’s vision for an independent, vertically integrated AI alternative is gaining serious traction among investors.

Also Read: The Top AI Companies in 2025 — Who’s Really Leading?

The new product, announced Monday, functions similarly to a donor-advised fund (DAF), a vehicle traditionally used by wealthy individuals to secure immediate tax deductions while giving to nonprofits over time. But unlike most existing DAFs, GoFundMe’s version comes with no management fees, no minimum balance, and a starting donation threshold as low as $5.

“It’s not about building wealth. It’s about building generosity,” said GoFundMe CEO Tim Cadogan. “We want to make this something anyone can use — not just high-net-worth individuals.”

Introducing GoFundMe Giving Funds, an all-in-one destination for charitable giving. Set and track an annual giving goal, invest to grow your impact, donate to nonprofits, and get a single tax receipt at year-end.

Start building your legacy of generosity: https://t.co/y8aVIZEdAR pic.twitter.com/6Wvoo1GBMN

— GoFundMe (@gofundme) June 30, 2025

Personal Frustration Sparked the Idea

Cadogan said the concept took root last fall during a personal fundraiser he launched on GoFundMe for a Southern California wilderness rescue team. Some of his friends attempted to donate through their own donor-advised funds, but the process took weeks and required paper checks — an outdated method in a digital-first world.

“If they were using Giving Funds, it would’ve taken ten seconds,” he said.

That experience highlighted the need for a modern, user-friendly giving tool that’s both efficient and accessible — especially to smaller donors who are often left out of the DAF conversation.

Simplifying Charitable Giving

Giving Funds are structured to be straightforward. Users can add money via bank transfers or direct deposits without incurring fees. Credit card contributions are also fee-free through the end of 2025, after which the company’s standard transaction charge (2.2% + 30 cents) will apply.

Funds can be invested in portfolios managed by top firms like Vanguard, BlackRock, and State Street. Donors can choose when and where to distribute their contributions to any of the 1.5 million nonprofits on GoFundMe’s platform.

The company has also added features that allow users to set annual giving goals, track donations in real time, and generate a year-end summary for tax purposes.

“This is a product for people who want to be more intentional about how they give, but without the financial complexity,” said Cadogan.

Trying to Move the Needle on Giving

Charitable giving in the United States has remained stubbornly flat, hovering around 2% of GDP for years. Despite rising incomes and public interest in causes ranging from climate change to public health, the tools for making charitable giving easier and more strategic have largely been geared toward the wealthy.

GoFundMe wants to change that by combining the flexibility of a financial product with the spirit of a social platform. Giving Funds users will receive customized suggestions for where to give — including local nonprofits, urgent disaster funds, or causes that align with their personal interests and past donations.

“It’s not a passive account,” Cadogan said. “It’s part of an active, connected community.”

Can It Compete in a Crowded Market?

While the donor-advised fund market has expanded significantly — holding more than $250 billion in assets as of 2023 — critics argue that many DAFs prioritize tax advantages over actual impact. Donations can sit untouched for years, with no legal requirement to disburse funds quickly.

The IRS and lawmakers have proposed changes, including time limits on fund disbursements, to prevent warehousing of charitable dollars.

Still, researchers say DAFs remain one of the most convenient ways for people to manage their giving — and more competition could lead to better experiences for users.

“DAFs have hit the sweet spot of convenience and connection,” said Jeff Williams, who studies giving patterns for the DAF Research Collaborative. “If GoFundMe can maintain that ease and expand access, it could have real impact.”

Nonprofits Welcome the Move

For nonprofits, the launch of Giving Funds could open the door to new streams of support from donors who haven’t traditionally used DAFs.

Amy Weaver, CEO of global medical nonprofit Direct Relief, called the move “a game changer.” Her organization has received more than 18,000 DAF contributions totaling $116 million in the past five years — mostly from affluent donors using traditional platforms.

“If GoFundMe can democratize access to this kind of giving, that’s incredibly powerful,” she said. “It becomes like a savings account for doing good.”

Beyond Fundraisers

With Giving Funds, GoFundMe is also attempting to rebrand itself. Once known primarily for emergency fundraisers, the company is now positioning itself as a longer-term partner in users’ charitable journeys.

“We want people to think of GoFundMe not just for that one moment of crisis,” said Cadogan, “but as a place where they manage their giving year-round.”

Whether GoFundMe’s bet pays off will depend on whether everyday users embrace the platform’s new direction — and whether the charitable dollars currently parked in savings and checking accounts can be mobilized for greater good.

Also Read: Adobe Launches Firefly AI App for iOS & Android with Major New Partnerships

Here’s a detailed look at the major players shaping the landscape—and the new alliances, rivalries, and strategies defining the global AI arms race.

OpenAI and Microsoft: Friends, Rivals, and Reluctant Partners

Few partnerships in tech have been more influential—or more complex—than that of Microsoft and OpenAI. The two companies have jointly driven mainstream adoption of generative AI, most notably through ChatGPT, the chatbot that became a global sensation following its 2022 release. OpenAI didn’t stop there—its development pipeline now includes powerful image and video generators, interactive file summarization, and an ecosystem of task-specific GPTs.

Microsoft, which has invested over $13 billion in OpenAI, has embedded the company’s models deep into its own software architecture. Its Copilot assistant is now central to Office, Windows, and Azure. Yet despite their public alignment, tensions over governance have become increasingly visible.

OpenAI is currently restructuring into a public benefit corporation—a move that allows it to raise capital more freely. But Microsoft, which holds a non-voting observer seat on OpenAI’s board, has clashed with leadership over the implications of that shift. Adding to the intrigue, both companies are developing products that compete directly, with OpenAI reportedly working on productivity tools that could rival Microsoft Office, and Microsoft advancing its own suite of in-house large language models.

Despite behind-the-scenes friction, the collaboration continues to yield financial gains. Microsoft reported a 16% growth contribution in its Azure cloud revenue directly tied to AI services, while OpenAI’s revenue run rate has doubled in six months—reaching $10 billion as of June 2025.

Google’s Gemini: From Setback to Strategic AI Core

Google has made no secret of its ambition to lead the AI era—and with Gemini, it’s attempting to infuse every facet of its platform with intelligence. Gemini, based on the company's 2.5 model family, now powers Google Search, Docs, Gmail, YouTube, Maps, and Chrome. Whether drafting an email or booking a hotel, users are increasingly interacting with Google's AI layer without even realizing it.

Yet Gemini’s rollout wasn’t seamless. The launch of AI Overviews in May 2024 led to public ridicule when it surfaced inaccurate—and at times bizarre—search answers. Google has since moved quickly to regain public trust, showcasing next-gen capabilities at its I/O developer conference, including Gemini-powered smart glasses and its upgraded Veo 3 video generation engine.

The platform is now offered in multiple tiers: a free version for general users, a $19.99/month Pro tier for advanced productivity and research, and a $249/month package targeting power users with enhanced models and 30TB of storage across Google services.

Meta’s AI Strategy: Open Weights, Closed Competition

Meta Platforms, parent to Facebook, Instagram, and WhatsApp, is making its AI ambitions clear: it wants to own the ecosystem, not just participate in it. With over $70 billion in available capital and vast data from billions of users, Meta has poured resources into its Llama series of open-weight AI models, allowing developers and companies to customize and deploy them freely—though without access to original training datasets.

While Llama has gained traction in the developer community, the company’s most powerful model, Llama 4 Behemoth, has faced delays. In response, Meta has doubled down on talent acquisition, bringing in high-profile figures from the AI world including Scale AI CEO Alexandr Wang, former GitHub chief Nat Friedman, and Daniel Gross, CEO of Safe Superintelligence.

Meta’s AI systems are already embedded in its apps and devices—from recommendation engines in Instagram Reels to productivity features in its smart glasses. As it builds its own AI stack, the company hopes to reduce reliance on Apple and Google operating systems—an echo of its past battles in the mobile ecosystem.

Anthropic: Building Safer AI in a High-Risk Race

Founded by former OpenAI employees Dario and Daniela Amodei, Anthropic was born out of a belief that AI development needed to be more cautious, ethical, and safety-focused. Since launching in 2021, the company has secured major investments from Amazon and Google, propelling it into the AI big leagues.

Anthropic’s Claude model family powers a range of applications including chat interfaces, document generation, coding, and live web interaction. It also features "artifacts," shareable AI-generated micro-content such as games, templates, and explainer lists.

Legal controversy recently touched the company after accusations of copyright infringement related to its training data. While a federal judge ruled in Anthropic’s favor on one charge, the company still faces trial over the alleged use of pirated books.

xAI: Elon Musk’s Counter-AI Vision

Elon Musk's xAI is taking a unique approach to AI development—one he claims is “aligned with truth” and less filtered than its peers. The company’s Grok chatbot, integrated with the X (formerly Twitter) platform, is positioned as a more opinionated, edgier alternative to mainstream bots.

Grok is powered by a supercomputing project called Colossus, which xAI says will scale to one million GPUs. Despite bold promises, the company has faced criticism for allowing misinformation to pass through its filters—a challenge Musk himself acknowledges as a tradeoff in building “less censored” systems.

Musk’s reentry into the AI space also has a personal history: he co-founded OpenAI in 2015, left after a power struggle, and has since sued the company over its restructuring into a for-profit entity. His accusations—that OpenAI betrayed its original mission to serve humanity—add a dramatic backdrop to his latest venture.

Perplexity: Redefining What AI Search Can Be

Among the rising stars in the AI scene, Perplexity stands out for its real-time, citation-backed search chatbot—a direct challenge to Google’s core business. Led by Aravind Srinivas, a former OpenAI researcher, the platform offers model flexibility, allowing users to query OpenAI's GPT-4.1, Anthropic’s Claude 4.0 Sonnet, Google's Gemini 2.5 Pro, xAI's Grok 3, and Perplexity’s own Sonoar engine.

Perplexity also provides curated topic hubs—“Discover” pages—that deliver AI-enhanced insights on subjects like finance, science, and sports. The company positions itself as a tool for learning, not just quick answers.

Still, its aggressive use of online content has triggered backlash from publishers. Dow Jones recently filed a lawsuit, alleging unauthorized use of proprietary news material in training and responses.

Why 2025 Could Be a Turning Point for the AI Giants

From billion-dollar partnerships to sudden leadership shifts, the AI industry in 2025 is being shaped by aggressive moves and unexpected shake-ups. Major players are no longer just building smarter tools—they’re battling for control over the platforms and ecosystems that define how AI fits into everyday work and life. As competition heats up, the race isn’t just about innovation anymore. It’s about dominance.

Also Read: Forget “Motion Detected” — Your Ring AI Camera Now Tells You What’s Really Happening

The Amazon-owned smart home company has launched a new AI-driven motion detection feature that sends users highly detailed text alerts describing what their cameras see — all in real time.

Instead of a simple “motion detected” message, you might now get a push notification like:

The feature is designed to help users immediately know whether a situation is routine or suspicious, without having to open the app or watch video footage. It analyzes the first few seconds of each motion event and generates a brief, natural-sounding summary.

Who Gets It — and How It Works

This new feature is being rolled out as an English-only beta for users in the U.S. and Canada who are subscribed to Ring’s Home Premium Plan. It’s available starting today.

Users who prefer the traditional experience or are privacy-conscious can turn off the feature in the Ring app settings at any time.

What’s Next: Smart Alerts, Custom Warnings & Routine Learning

Ring’s founder, Jamie Siminoff — now Amazon’s VP of Home Security — confirmed that this is just the beginning of Ring’s next chapter with AI.

In a blog post, Siminoff revealed several features coming soon:

• Smart Event Summaries: Instead of being pinged multiple times, your Ring system could combine several motion events into a single notification — such as someone walking to your door, retrieving a package, then walking away.

• Custom Anomaly Detection: Soon, users will be able to define what “unusual” means for their home. For example, if your garage door typically stays closed but opens at night, Ring will flag it.

• Routine-Based Monitoring: The system will eventually learn your household’s patterns — like when family members leave for work or return home — and alert you only when something doesn’t match the usual behavior.

While these features promise convenience, they also raise fresh privacy concerns, especially considering Ring’s history of controversial law enforcement partnerships and cloud-based data storage.

A Smarter, More Responsive Home Security System

The latest update comes shortly after Ring rolled out an AI-powered video search tool, making it easier to find specific events (like “dog in backyard” or “person at front door”) inside hours of footage.

By layering intelligence on top of its already widespread camera network, Ring is clearly shifting from being just a camera system to a context-aware, AI-enhanced home security platform.

Siminoff said the company is “just scratching the surface” of what AI can do for home safety — and described the new wave of innovation as feeling like the early days of Ring all over again.

Also Read: Tesla Launches Robotaxi Service in Austin — Analysts Say It Could Wipe Out Traditional Car Brands

In a new investor note, the firm doubled down on its optimistic view of Tesla’s trajectory. “The company is no longer just a car manufacturer—it’s a mobility platform in motion,” wrote Alexander Potter, lead analyst at the firm. He points out that Tesla’s deep integration of hardware, AI-driven software, and fleet services puts it years ahead of traditional automakers still struggling to upgrade their legacy business models.

Robotaxis Shift the Economics of the Car Industry

The implications of self-driving taxis go far beyond convenience. If robotaxis become commercially viable at scale, analysts warn the traditional car market could shrink dramatically. Fewer private vehicle purchases. Higher vehicle utilization. Less need for dealerships and service networks. The result? Lower unit sales, higher fleet consolidation, and a redefinition of automotive revenue—from hardware to services.

This vision aligns closely with Tesla’s strategy. Its Full Self-Driving (FSD) platform is built to support networked, shared mobility—not just help drivers avoid parallel parking. Tesla’s own vehicles could eventually operate like Uber, minus the driver, running nearly 24/7 in major cities. Piper Sandler believes this alone could give Tesla the kind of recurring revenue typically seen in the tech sector—not the auto industry.

Tesla’s Competitive Edge: Software, Not Just Cars

Unlike its peers, Tesla has poured over a decade into building a software stack that it controls end-to-end. That’s becoming its most valuable asset.

Alphabet’s Waymo has technically had a robotaxi service running since 2018, starting in Phoenix and now expanding to cities like San Francisco and Los Angeles. Amazon’s Zoox has also been testing on U.S. roads since 2023. And in China, Baidu’s Apollo Go robotaxi network has been picking up real passengers since 2022. But despite this activity, Tesla's vertically integrated approach—one vehicle, one OS, one fleet vision—remains unmatched in scope.

“Tesla doesn’t have to wait for suppliers to catch up or coordinate across third-party hardware vendors,” said Piper Sandler. “That kind of control gives them faster feedback loops and fewer points of failure.”

Traditional Carmakers Are Losing Ground

As Tesla’s robotaxis go live, legacy automakers are visibly stuck in second gear. Ford and GM, both of which previously promised autonomous offerings, are behind on execution and depend on partnerships or third-party tech. GM’s Cruise, for example, had to halt operations in 2023 after one of its autonomous vehicles hit a pedestrian in San Francisco, triggering regulatory backlash and a full-scale shutdown of its driverless fleet.

Stellantis, the parent company of Chrysler, Peugeot, and Fiat, faces internal management instability and complex geographic challenges, making it the least agile of the major global players, according to Piper Sandler. Rivian, though more nimble, remains constrained by its production scale and capital demands.

“No other automaker has Tesla’s mix of technical ambition and operational control,” analysts wrote. “Everyone else is either too slow, too fractured, or too reliant on outside tech.”

Short-Term Risks Remain, Even for Tesla

Despite this strategic lead, Tesla isn’t invincible. The company’s Q1 2025 results were well below Wall Street expectations, with revenue falling to $19.34 billion—a sharp miss against the anticipated $21.43 billion. Adjusted profits dropped by 40% year-over-year, and vehicle deliveries fell to 336,681, Tesla’s weakest quarter since mid-2022.

In Europe, sales have declined for five straight months, with a 27.9% drop in May alone, as consumer sentiment cools and electric vehicle demand flattens. Boycotts tied to CEO Elon Musk’s political statements have also impacted brand reputation in key markets like Germany and the Nordics.

There are technical risks, too. A single high-profile crash involving a Tesla robotaxi could rattle investor confidence and invite renewed scrutiny from regulators. Piper Sandler acknowledges this as a looming threat, calling such an event “inevitable” at scale, but suggests the long-term payoff outweighs these short-term pitfalls.

Stock Surges on Autonomy Hype—But Is It Sustainable?

Tesla shares are riding a wave of optimism. In June alone, the stock jumped 40%, adding over $200 billion to the company’s market cap. Yet even with that rally, the stock remains down 10% for the year.

Some analysts are skeptical. Chad Morganlander, a portfolio manager at Washington Crossing Advisors, recently called Tesla’s valuation “insane,” citing its sky-high price-to-earnings ratio and the company’s lagging fundamentals.

But for investors focused on long-term structural change in transportation, Piper Sandler’s message is clear: Tesla’s real business isn’t selling EVs—it’s rewriting how mobility works. And right now, there’s no serious competitor doing the same at the same speed.

Also Read: Tesla Stock Gains Again After Robotaxi Debut in Austin

At stake is a $20 billion funding package led by SoftBank and other global investors, which requires OpenAI to complete the restructuring by year’s end. Without Microsoft’s approval, OpenAI cannot proceed. Talks between the two have grown tense, with reports suggesting that Microsoft is even willing to walk away.

SoftBank Deal Tied to Corporate Control Shift

SoftBank’s investment, part of a broader $40 billion fundraising round, hinges on OpenAI converting its for-profit arm into a public benefit corporation overseen by its nonprofit parent. This change would give the nonprofit board legal control over OpenAI’s operations, aligning with its founding mission.

Investors are demanding clarity over OpenAI’s governance before releasing capital. The restructuring is designed to assure regulators—and future stakeholders—that OpenAI remains mission-driven, not profit-maximizing at the expense of ethics or accountability.

IP Access and Windsurf Acquisition Fuel Rift

One of the most contentious points is OpenAI’s desire to block Microsoft from gaining rights to technologies developed by Windsurf, a $3 billion AI code-generation tool OpenAI recently acquired.

Microsoft, which currently enjoys exclusive access to OpenAI’s core models via Azure, sees this carve-out as a dilution of its value in the partnership. The dispute highlights how intellectual property—especially next-gen AI capabilities—has become the central currency in AI alliances.

Equity Talks Stalled Over Valuation Uncertainty

OpenAI’s proposed new structure has also opened a can of worms over equity distribution. Microsoft has reportedly offered to give up its equity stake in exchange for long-term access to OpenAI's future technologies. But that offer isn’t enough to satisfy OpenAI, which is wary of long-term concessions tied to past funding.

Valuation plays a big role here. With OpenAI’s estimated worth touching $300 billion in private markets, any reshuffling of equity could spark legal challenges if seen as underpricing the nonprofit’s assets.

Legal Hurdles Complicate the Transition

Under Delaware law, OpenAI’s nonprofit status requires that any transfer of value—like moving key assets or IP—must reflect fair market value. If the nonprofit board approves a deal that appears to favor investors over public interest, it could face scrutiny from regulators or even lawsuits.

This issue isn’t theoretical. Legal experts have flagged potential risks of violating nonprofit obligations, especially if OpenAI’s reorganization appears to prioritize investor returns over its original charitable purpose.

Elon Musk Lawsuit Looms Over Decision-Making

Adding to the complexity, OpenAI is battling a lawsuit from co-founder Elon Musk, who accuses the board and CEO Sam Altman of violating the organization's founding charter by chasing profits. Musk is asking a court to stop OpenAI from converting into a fully commercial venture.

While the outcome is still pending, the litigation has cast a shadow over OpenAI’s strategic timeline—and could embolden regulators to apply closer scrutiny if the company proceeds without settling internal and legal objections.

Azure Exclusivity Ends, But Access Still Key

OpenAI has already made moves to reduce its dependence on Microsoft. In January, it partnered with Oracle and SoftBank on “Project Stargate,” a massive AI data center plan. In response, Microsoft relinquished its exclusivity over OpenAI’s Azure usage—but retained right of first refusal.

Still, OpenAI remains tethered to Microsoft for distribution and compute power, which complicates any clean separation. The existing agreements, including revenue-sharing and IP access, are locked in until at least 2030.

Partnership at Crossroads as Deadline Nears

With the clock ticking toward a year-end deadline, OpenAI is running out of time to finalize a corporate model that satisfies both its nonprofit origins and its future commercial ambitions. Talks with Microsoft have grown increasingly difficult, and there are rumblings that OpenAI may seek intervention from antitrust authorities to review Microsoft’s influence.

If the current impasse continues, OpenAI not only risks losing a massive capital injection—it could also see its once-stable relationship with its most powerful ally unravel.

Also Read: OpenAI and Microsoft in Talks to Redefine Partnership and Set Stage for Future IPO

According to promotional materials, the T1 features a 6.8-inch AMOLED display, 12GB of RAM, 256GB of internal storage, and a 5,000mAh battery. It includes a triple-lens rear camera setup with a 50MP primary sensor, flanked by 2MP macro and depth lenses. While those specifications place it firmly within the mid-range Android category, inconsistencies on the official product site have already raised eyebrows. For instance, RAM is mistakenly labeled as “storage,” and a listing for a “5,000mAh camera” has drawn ridicule online—a clear technical error that undermines confidence in the product’s presentation.

The T1 runs on the Android operating system, though the company has not specified whether it will receive timely security updates, OS upgrades, or if it will run on a forked version. No mention of Google Play certification or data privacy measures has been made either.

Tech analysts have already noted that these specifications closely resemble the Revvl 7, an Android phone made by Wingtech, a Chinese original device manufacturer (ODM), and sold in the U.S. under T-Mobile’s Metro brand. This has led to speculation that the T1 is merely a rebranded Chinese handset.

Manufacturing in the U.S. — A Political Promise, Not a Present Reality

While the Trump family has promoted the phone as “American-made,” industry insiders are skeptical that the T1 can be produced domestically at scale. The United States currently lacks the supply chain, skilled labor, and advanced infrastructure required to mass-produce smartphones.

Key manufacturing components like semiconductors, camera modules, and AMOLED displays are almost entirely produced in Asia, especially China, Taiwan, and South Korea. Setting up a domestic supply chain would require billions in investment, years of development, and large-scale partnerships with local and foreign component makers.

In reality, most American electronics—including those from Apple, Dell, and HP—are designed in the U.S. but assembled abroad, primarily for cost and scalability reasons. Despite Trump's nationalist rhetoric, even his own past business ventures relied on foreign manufacturing.

Without a concrete roadmap, factory partnerships, or transparent sourcing information, the T1’s “Made in America” branding remains largely symbolic rather than factual.

Experts Suspect White-Label Rebranding Strategy

Multiple analysts agree that the T1 Phone is almost certainly a white-label product. This means Trump Mobile likely approached an ODM overseas—most likely in China—and selected an existing device template. The ODM handles manufacturing, and Trump Mobile applies branding and pre-installed content.

This strategy is common in the tech merchandise industry but contradicts claims of American manufacturing. ODMs typically allow minor modifications like casing changes, logo engraving, and UI customization, which is far from building a phone “from scratch” in the U.S.

White-label phones offer fast turnaround times and lower costs, making them attractive for political campaigns or influencer-led product launches. However, they are often seen as low-risk, low-innovation ventures with limited support lifecycles and minimal after-sales infrastructure.

Trump Mobile Likely Operating as MVNO

The T1 Phone is designed to work on Trump Mobile, the newly launched wireless carrier under the Trump brand. However, there is no indication that Trump Mobile operates its own cellular towers or infrastructure.

Instead, industry experts suggest it is an MVNO (Mobile Virtual Network Operator)—a company that resells service from existing telecom giants like Verizon, AT&T, or T-Mobile. This means while the branding is new, the network experience is virtually identical to that of the underlying carrier.

MVNOs typically lease bandwidth and rebrand plans under their own label. Trump Mobile hasn’t disclosed which network it partners with, nor does it provide technical support or network-specific enhancements—a red flag for consumers who may expect more.

Technical Oversights Add to Concerns

Aside from hardware and manufacturing ambiguity, technical inconsistencies have further damaged the T1 Phone's credibility. On launch day, Trump Mobile’s website described a “5,000mAh camera”, which is clearly a misstatement—mAh is a unit of battery capacity, not camera resolution.

Additionally, the spec sheet incorrectly lists RAM as storage, suggesting either a rushed launch or limited technical understanding from the product team. For consumers and reviewers, such errors can be a red flag, indicating a lack of internal quality control.

No mention has been made of certifications such as FCC approval or software support guarantees—two essentials for any smartphone sold in the U.S. market.

Political Timing and Economic Messaging

The announcement of the T1 Phone coincides with former President Donald Trump’s renewed push for domestic manufacturing ahead of the 2024 election season. He has long criticized U.S. tech companies for outsourcing, even as his own businesses have historically done the same.

His recent threat to impose 25% tariffs on Apple and Samsung phones unless they relocate production to the U.S. aligns with the T1’s patriotic positioning. However, critics argue that this rhetoric often lacks follow-through and serves more as campaign messaging than viable economic strategy.

During his presidency, Trump imposed tariffs as high as 145% on Chinese-made electronics, but later rolled back some of these measures under industry pressure.

September 2025 Launch Raises Industry Skepticism

Trump Mobile has announced that its T1 Phone will be available to U.S. customers starting in September 2025, priced at $499. However, experts in the mobile technology and manufacturing sectors question the feasibility of such a tight production schedule—particularly for a company with no public record of supply chain infrastructure or regulatory preparation.

Unrealistic Timeline Without Evidence of Infrastructure

Building a smartphone—especially under claims of American manufacturing—requires a complex network of steps that typically take over a year to coordinate. Industry insiders note that no known partnerships, factory contracts, or domestic sourcing arrangements have been publicly disclosed. If the T1 is truly to be “Made in the USA,” the following would be essential and are currently unconfirmed:

• FCC Certification: All phones sold in the U.S. require Federal Communications Commission (FCC) approval to meet safety and network standards.

• Custom U.S. Assembly Facilities: At-scale production would demand specialized factories, robotics, and trained personnel, which do not yet exist for this project.

• Component Sourcing: Semiconductors, camera modules, and AMOLED displays are mostly manufactured in Asia. No reliable U.S.-based supply chains for these parts are known to be part of Trump Mobile’s plans.

• Distribution & Support: Nationwide logistics, retail partnerships, warranty servicing, and repair facilities must be in place before commercial release.

Even large, well-funded tech companies like Apple take 12–18 months to go from design to retail availability. Launching in just a few months with no manufacturing track record stretches credibility.

A Rebranded Overseas Model

Given the lack of evidence supporting a U.S.-based production model, many analysts believe the T1 will be a white-labeled device manufactured in China or Southeast Asia—then rebranded under the Trump name. Sources suggest the specifications bear strong resemblance to models like the Wingtech Revvl 7, already mass-produced and sold under different brand names.

Branding Power Over Technological Ambition

The T1 Phone appears more aligned with political branding than serious technological innovation. While the messaging targets patriotic consumers who favor “Made in America” products, the technical inconsistencies, incorrect spec listings (like confusing RAM with storage), and absence of transparency raise red flags about the device's legitimacy.

Analysts suggest the T1 Phone’s real value lies in energizing a political base rather than disrupting the smartphone market. Without domestic production, regulatory clarity, or retail readiness, the September 2025 target is more aspirational than actionable.

Unless major updates are made public soon, the T1 Phone may enter the market not as a flagship product—but as a marketing tool wrapped in tech aesthetics.

Also Read: Adobe Launches Firefly AI App for iOS & Android with Major New Partnerships

Previously available only via web browsers, Firefly is now accessible on iOS and Android devices, bringing Adobe’s generative AI model to mobile users alongside integration with partner technologies from Ideogram, Pika, Luma AI, and Runway. The app became available for download on Tuesday.

This expansion positions Adobe to capture a growing wave of mobile-first content creation, driven by the surge in AI-generated visuals shared on platforms like Instagram, TikTok, and Snapchat. The app supports instant image generation tailored for social media formats—an area where speed, visual appeal, and accessibility are increasingly vital.

Mobile Firefly Offers Multi-Model Image Generation

While the core Firefly model remains Adobe’s own, the company confirmed that users will also have access to third-party models through the mobile app. Models previously used only in the web version—developed by Google and OpenAI—are also available on mobile, giving users a broader creative range.

Subscribers can generate unlimited images using Adobe’s basic model. However, access to premium features—including advanced Adobe capabilities and third-party partner models—comes at an added cost. Pricing mirrors that of the desktop version, starting at $10 per month.

The mobile rollout follows Adobe’s earlier move to embed Firefly tools into the mobile version of Photoshop, reinforcing the company’s strategy to build a full creative suite for users on the go.

Adobe Pitches Firefly as Rights-Cleared AI Tool

As AI-generated content faces mounting scrutiny around copyright and training data ethics, Adobe is doubling down on transparency. The company reiterated that Firefly is trained solely on content it has the legal rights to use, including Adobe Stock and public domain assets.

Users of Firefly also receive indemnity protection from Adobe—an offer designed to reassure professionals and commercial creators wary of copyright claims.

“Even for individual users, the promise of commercially safe content has become a meaningful differentiator,” said Ely Greenfield, Adobe’s Chief Technology Officer for Digital Media. “It’s not just about what the model can generate—it’s about what users can confidently use.”

Mobile Firefly App Aims at Social-First Creators

The timing of the launch comes as AI-powered content continues to dominate online engagement. In recent months, viral images generated through OpenAI’s stylized prompts and creative filters have driven record usage across generative platforms. Adobe is aiming to tap into that same momentum—now with a mobile-native experience designed to meet creators where they are.

While Adobe hasn’t revealed how its partners are compensated for model use, the app’s bundled offering suggests a revenue-sharing model that supports ongoing third-party collaboration.

With the Firefly app now available globally on both major mobile platforms, Adobe is signaling its intent to remain a central player in the generative AI race—backed by a foundation of legal safety, brand trust, and creative control.

Also Read: Adobe Launches AI Video Tool Firefly, Competing with OpenAI and Meta

Set to arrive in U.S. showrooms this fall, the new Leaf comes equipped with a 75 kWh battery and offers an estimated driving range of up to 303 miles—an increase of 25% over the outgoing model. While pricing details remain under wraps, company officials say the vehicle will be competitively positioned despite import tariffs.

“Even with tariffs, we are confident the new Leaf will offer strong value in its class,” a Nissan spokesperson said during the unveiling.

Manufactured at Nissan’s Tochigi plant in Japan and the Sunderland facility in the UK, the updated Leaf is a strategic effort to modernize the company’s EV offering while navigating major internal and external pressures. However, it enters the U.S. market at a time when consumer interest is shifting towards hybrid models—an area where Nissan still lacks a presence.

Mounting Challenges for a Legacy EV Brand

The timing of the launch has raised concerns among analysts, especially given recent U.S. policy changes and broader industry headwinds.

“This may be the most difficult moment to bring a pure EV to market, with tariffs increasing costs and hybrid demand surging,” said Koji Endo, auto analyst at SBI Securities.

The Leaf's transformation into a crossover is more than cosmetic. It’s a calculated move to align with current consumer trends, where SUVs and crossovers dominate sales. The interior has been reworked with improved digital interfaces and upgraded materials, signaling a focus on a more premium user experience.

Once the world's top-selling electric car, the original Leaf helped establish Nissan as a serious contender in the EV space. Nearly 700,000 units have been sold since its launch in 2010. But the momentum didn’t last. Tesla overtook the Leaf in global EV sales years ago, and Nissan has struggled to maintain its relevance, particularly in the U.S. where hybrid adoption outpaces EV growth.

Leadership Under Pressure

Under the leadership of Chief Product Officer Ivan Espinosa, Nissan is undergoing a major transformation. As part of a broader restructuring plan, the company is set to close seven manufacturing facilities and cut around 11,000 jobs. These measures are expected to reduce the company’s global workforce by 20,000 positions—an aggressive move aimed at stabilizing the business after a reported net loss of ¥596 billion (approximately $4.1 billion) in the last fiscal year.

Nissan also faces a looming ¥596 billion in debt due in 2026, making the success of the new Leaf critical to the company’s immediate financial strategy.

While the Tochigi and Sunderland plants remain secure in the company’s manufacturing footprint, the Oppama plant—home to the original Leaf’s production—could be among the closures.

Strategic Gamble or Revival Catalyst?

Nissan’s decision to double down on the Leaf rather than shift quickly into hybrids or plug-in hybrids may be a high-risk play. But with increased range, modernized design, and a renewed push in core markets, the automaker hopes to recapture a share of the EV spotlight it once dominated.

Whether the new Leaf can meet the rising expectations of U.S. and global consumers—and fend off growing competition—will determine more than just its own sales. It could define the next chapter of Nissan’s place in the electric vehicle era.

Also Read: Nissan and Honda to Announce Decision on Potential Merger by Mid-February

The deal gives Meta a 49% stake in Scale AI, a fast-growing artificial intelligence infrastructure company that works with major tech firms and government agencies. Scale’s valuation has now jumped to $29 billion, doubling from its last funding round.

Wang, who left MIT in 2016 to start the company, announced the move in a memo to employees on Thursday. He will join Meta to help lead its advanced AI development efforts while remaining on Scale’s board of directors.

From Startup to AI Powerhouse

Scale AI began by helping companies label and manage data for machine learning models. As AI adoption grew across industries, the company evolved into a key supplier of tools for model training, safety evaluation, and deployment.

Its client list includes OpenAI, Microsoft, Google, Amazon, and several U.S. federal agencies — a rare position in a competitive and politically sensitive space. Scale’s ability to remain a neutral service provider has been central to its growth, though Meta’s investment may test that balance.

A company spokesperson confirmed that Wang will continue to advise Scale and that the company will continue operating independently of Meta.

Leadership Transition

Following Wang’s departure as CEO, Jason Droege, Scale’s chief strategy officer, has been appointed interim CEO. Droege joined Scale in 2024 after serving as a venture partner at Benchmark and as a senior executive at Uber.

According to internal sources, the board began planning the leadership transition shortly after Meta’s interest in a long-term partnership became serious earlier this year. Meta’s leadership reportedly wanted a closer relationship with Scale’s product and infrastructure team as it ramps up its AI programs.

Meta’s AI Push

Meta has made artificial intelligence its top priority for 2025, and this deal reinforces that commitment. The company is building a new research team focused on “superintelligence” — a term used to describe more advanced AI models beyond current large language models.

Wang’s role at Meta will involve building out that team and shaping the company’s future in foundation models, a field currently dominated by OpenAI and Google DeepMind.

He will also be bringing along a select group of Scale employees to join Meta, according to his memo. The names and roles of those team members have not been disclosed.

What This Means for Scale

While Meta now holds a significant stake, Scale AI will continue serving a wide range of clients in the public and private sectors. Investors familiar with the company believe its business will remain independent, though the Meta partnership may give it added resources to develop tools for high-compliance industries such as defense, healthcare, and finance.

Several analysts noted that this deal could open the door for Scale to eventually file for an IPO, depending on market conditions.

A Founder's Journey

Wang started Scale at 19 with co-founder Lucy Guo, who left the company several years ago. Within five years, he became the world’s youngest self-made billionaire, thanks to early contracts in autonomous vehicles and later success supporting government AI programs.

He has consistently emphasized the value of building AI tools that are safe, fast, and accountable. In previous interviews, Wang has said that he benefited from having no preconceived ideas about how the AI industry “should” work.

Now, Wang takes that mindset to Meta — and leaves behind a company he built from a dorm room idea into one of the most essential players in the AI economy.

Also Read: Meta Buys Into Scale AI — But OpenAI Refuses to Walk Away

Scale AI plays a critical role in supplying the curated data that fuels advanced artificial intelligence models like OpenAI’s ChatGPT. The data it provides is essential for training systems to understand language, context, and user intent. With Meta now holding a near-majority share and bringing Scale’s CEO Alexandr Wang onboard to lead its new superintelligence unit, industry watchers speculated on how this would affect Scale’s relationships with other major tech players.

But OpenAI made its position clear: competition doesn’t mean cutting off collaboration.

“We’re not interested in freezing out the ecosystem just because mergers or investments happen,” said Friar. “If we start isolating each other, it could slow down innovation across the entire field.”

Friar emphasized that OpenAI’s approach remains vendor-diverse. “We don’t just work with Scale. We source data from multiple partners,” she added, highlighting the company’s broader strategy of maintaining flexibility and tapping into a wide range of expertise.

As AI models become more complex, they increasingly require highly specialized training input — not just massive amounts of data, but data refined by experts in their fields. OpenAI now collaborates with professionals from backgrounds including science, history, and academia — some holding PhDs — to ensure its models are trained with high-quality, accurate information.

While Meta’s investment in Scale signals a more aggressive push into the AI space, OpenAI’s response suggests it sees more value in cooperation than in conflict. By keeping partnerships open, the company aims to maintain a competitive edge while supporting a broader, faster-growing AI ecosystem.

Also Read: Google Launches Secret AI App That Works Without Internet — Here’s What It Can Do on Your Phone

The update, which Apple says has been years in the making, represents the most extensive design change since iOS 7 launched in 2013. It’s more than a coat of paint — it’s a top-to-bottom rethinking of how Apple’s software feels, looks, and responds.

“Over time, our devices have evolved — larger displays, sharper resolution, edge-to-edge glass,” said Craig Federighi, Apple’s senior vice president of software engineering. “We realized we needed a design that rises to that level, something that brings all of it together in a unified experience.”

A New Visual Language Designed for Today’s Hardware

At the core of this update is Liquid Glass — an interface that makes digital elements appear as though they’re built from translucent materials. App icons now have a subtle glow. System menus float like polished glass. Even Safari’s address bar distorts the page content behind it as you scroll, mimicking how light bends through real glass.

It’s not just about looking modern. Apple says this redesign is meant to make navigating its devices feel smoother, calmer, and more intuitive. The company spent years testing subtle effects like reflections and translucency to ensure they enhance usability rather than distract from it.

Less Clutter, Faster Access

The design changes aren’t just visual. Apple has taken the opportunity to clean up its core apps as well. The Camera app, for example, now launches with just two primary modes: Photo and Video. Other features — like Portrait, Slo-Mo, and Time-Lapse — are still there, just a tap away.

“We’ve added so many features over the years, but we also heard from users who felt the interface was starting to get crowded,” Federighi said. “This update respects the complexity while surfacing what matters most in the moment.”

The focus on clarity and speed runs throughout the update, with redesigned buttons, simplified layouts, and smoother animations.

Familiar, Not Foreign — Apple’s Cautious Approach to Change

With more than 2.4 billion active Apple devices in use, any major change comes with risk. Apple says it was careful not to alienate users with a design that feels unfamiliar. Alan Dye, Apple’s VP of human interface design, said the goal was to make the redesign feel natural.

“People rely on these products daily — for work, for life, for everything,” Dye said. “So we approached this with a real sense of responsibility. We wanted it to feel fresh, but also instantly usable.”

Goodbye Version Numbers, Hello Calendar-Based Naming

Alongside the visual overhaul, Apple is simplifying how it names software versions. Instead of calling this year’s update iOS 19, it will be known as iOS 26 — a change that reflects the year users will spend most of their time with the platform.

This new naming system will apply across all platforms, including macOS, iPadOS, and watchOS.

Setting the Stage for iPhone 17’s Big Reveal

This software shift isn’t happening in a vacuum. According to Bloomberg, Apple is preparing to unveil a redesigned iPhone 17 later this year — one that features a thinner, more refined body. The Liquid Glass interface is designed to match the new hardware aesthetic, signaling a tighter integration between Apple’s devices and the software that powers them.

Analysts say the pairing of fresh hardware with a dramatically updated UI could help Apple boost iPhone sales heading into 2026.

With the introduction of Liquid Glass, Apple is delivering a visual and functional reset — one that’s less about flashy features and more about long-term refinement. It’s a design that mirrors the maturity of Apple’s hardware, and a bet that users will embrace change when it’s handled with care.

As the tech world watches for what comes next — especially with iPhone 17 on the horizon — this redesign marks a clear shift in Apple’s strategy: less evolution, more transformation.

Also Read: Amazon Plans $20 Billion Investment in Pennsylvania to Grow Cloud and AI Operations

This development highlights Amazon’s strategic focus on strengthening its AI and cloud computing operations to meet the growing global demand for advanced digital services. As industries increasingly rely on generative AI, machine learning, and large-scale cloud platforms, companies like Amazon are racing to provide the backend infrastructure required to support this new era of technology. The move into Pennsylvania reflects not only a significant capital deployment but also a signal to the broader tech industry of Amazon’s intent to maintain its leadership in the cloud services space.

The Pennsylvania expansion follows Amazon’s recent announcements of similar infrastructure projects, including a $10 billion investment in North Carolina and over $5 billion in Taiwan. These investments are part of a broader, aggressive push to scale Amazon’s cloud ecosystem globally. While the company has yet to specify a detailed timeline for the Pennsylvania buildout, it aligns with Amazon’s Q1 2025 capital expenditure trend, which topped $25 billion. Amazon has stated it plans to maintain that level of investment through the end of the year, emphasizing the central role that cloud and AI infrastructure play in its long-term growth plans.

Beyond its direct economic impact, the project is expected to attract additional tech development to the state and strengthen Pennsylvania’s role in the national technology landscape. As more companies look to cloud services and AI-driven tools, proximity to reliable infrastructure becomes essential. With Amazon establishing a major presence in the region, this investment may also help draw new innovation, educational partnerships, and business activity to the surrounding communities.

While Amazon has not confirmed whether this new funding is part of its existing capital plan or an addition to it, the company has made clear that building next-generation cloud infrastructure is a priority. As demand for AI accelerates, data centers like the ones planned in Pennsylvania will play a key role in powering the tools, applications, and platforms that will shape the future of business and technology.

Also Read: Amazon’s $10 Billion Investment in North Carolina Set to Create 500 New Tech Jobs

Earlier this year, in February, Apple and Alibaba announced a strategic partnership aimed at enhancing AI-powered features on iPhones sold in China. The collaboration was designed to help Apple regain momentum in a market where its smartphone sales have recently declined. By working with Alibaba, China’s leading e-commerce and cloud services company, Apple sought to deliver AI experiences better tailored to the preferences and regulations of Chinese consumers.

However, the delay by the CAC has cast uncertainty over the launch timeline of these AI services. The regulatory hold reflects the broader climate of caution in Beijing toward foreign technology firms amid ongoing trade disputes, national security concerns, and political friction between the two economic superpowers.

The Chinese government has increased scrutiny of foreign tech companies over the past few years, tightening rules around data security, content control, and technology transfers. These measures have often slowed down foreign investments and product rollouts. In this case, the CAC’s intervention means Apple and Alibaba’s AI plans may face further setbacks, as regulators take extra time to review potential risks linked to foreign involvement in critical technology sectors like AI.

For Apple, the delayed approval complicates efforts to boost the appeal of its devices in China. The company has seen its iPhone market share shrink in recent years, facing fierce competition from local brands like Huawei, Xiaomi, and Oppo. Integrating AI features powered by Alibaba’s cloud infrastructure was viewed as a crucial step to offer a more localized experience, which could help Apple better connect with Chinese consumers.

Alibaba, on its part, benefits from the partnership by showcasing its AI and cloud technology capabilities on a global stage. The company has heavily invested in expanding its cloud computing infrastructure and AI research, aiming to rival international giants like Amazon Web Services and Microsoft Azure. However, the regulatory hold adds uncertainty to Alibaba’s ambitions, potentially slowing its growth in the AI cloud services market.

Neither Apple nor Alibaba have issued statements about the delay, but insiders say the companies are closely monitoring the situation and remain committed to the partnership. Analysts suggest that the stall highlights the increasing challenges tech companies face when operating in politically sensitive environments where technology, national security, and trade issues intersect.

This delay is not just about the technology itself but a reminder of the broader geopolitical context shaping the global tech landscape. As the U.S. and China continue to impose restrictions and countermeasures on each other’s companies, partnerships like Apple and Alibaba’s face growing hurdles, impacting innovation and market strategies.

The CAC’s pause also signals Beijing’s intent to maintain tight control over the AI sector, which it considers a strategic priority for economic and security reasons. Chinese regulators want to ensure that any AI development involving foreign players aligns with national interests and complies with stringent cybersecurity and data protection laws.

The timing for approval remains uncertain. The extended review could delay the availability of new AI features on iPhones in China, possibly affecting Apple’s sales and customer engagement in one of its most important markets. Meanwhile, Alibaba may need to adjust its plans to accommodate longer regulatory timelines, impacting its expansion goals in AI-powered cloud services.

The regulatory delay comes amid growing tensions between the U.S. and China, directly impacting Apple’s efforts to enhance iPhone AI features for the Chinese market. For Alibaba, the hold-up at the Cyberspace Administration of China adds uncertainty to its role in supporting these AI services, slowing down a partnership that could have boosted both companies amid a challenging trade environment.

Also Read: Amazon’s $10 Billion Investment in North Carolina Set to Create 500 New Tech Jobs

The investment will lead to the creation of at least 500 new jobs, primarily targeting highly skilled roles such as data-center engineers, network specialists, and IT professionals. These positions will provide competitive salaries and career advancement opportunities in a region that has been steadily growing as a technology hub. This job creation is particularly significant for Richmond County, which stands to benefit from an influx of talent and increased economic activity.

Amazon's commitment to North Carolina is not new; the company has already invested over $12 billion in the state since 2010. With a workforce of about 24,000 employees across various sectors — including fulfillment, logistics, and technical operations — Amazon is one of the largest private employers in the region. This new investment further cements its role as a key economic driver for the state.

At the heart of this expansion is Amazon’s growing focus on artificial intelligence. Data centers play a crucial role in powering AI applications by providing the massive computing capacity and storage needed to process complex algorithms and vast data sets in real time. As AI technology evolves rapidly, the need for robust infrastructure becomes even more critical. Amazon’s new facilities in Richmond County will help support this demand by enhancing cloud services like Amazon Web Services (AWS), which many businesses depend on for their digital operations.

This development is also part of a broader trend in the tech industry, where companies are competing aggressively to build and expand data center networks to support AI, machine learning, and big data analytics. Amazon’s investment reflects not only its strategic priorities but also the increasing importance of North Carolina as a destination for high-tech infrastructure projects.

For Richmond County, the announcement means more than just job creation. The influx of investment is expected to stimulate local businesses, increase tax revenues, and improve infrastructure development. Local leaders have welcomed Amazon’s decision, seeing it as a catalyst for long-term economic growth and a boost to the region’s reputation as a technology-friendly environment.

As companies worldwide race to harness the potential of AI, Amazon’s expansion in North Carolina positions both the company and the state at the forefront of this digital transformation. With advanced data centers in place, North Carolina will be better equipped to support the next generation of AI innovations and cloud-based technologies, impacting industries from healthcare and finance to education and entertainment.

Amazon’s $10 billion investment is a game-changer for Richmond County and the broader tech landscape of North Carolina, promising significant economic benefits, job creation, and a stronger role in the AI and cloud computing revolution.

Also Read: Neuralink Raises $650M to Advance Brain Chip Tech After First Human Trials Success

The Series C round, confirmed on Monday, included a long list of high-profile backers such as ARK Invest, DFJ Growth, Founders Fund, G42, Human Capital, Lightspeed Venture Partners, Qatar Investment Authority, Sequoia Capital, Thrive Capital, Valor Equity Partners, and Vy Capital. The participation of both tech-focused venture firms and sovereign wealth funds highlights the growing strategic interest in neurotechnology.

Neuralink plans to use the capital to accelerate human clinical trials, grow its engineering and neuroscience teams, and build out production capacity for its brain implants, which are still in the early testing phase.

In a statement, the company emphasized that the funding will help it “bring our technology to more people—restoring independence for those with unmet medical needs and expanding what’s possible with direct brain interfaces.”

The implant, known as the “Link,” is a small, wireless device designed to be surgically placed inside the skull. It records neural activity and enables communication between the brain and external devices. Neuralink's initial focus is on patients with paralysis or severe spinal cord injuries.

The company recently made headlines after its first human patient successfully used the device to control a computer cursor and navigate digital platforms with just their thoughts. According to Neuralink, the individual was able to browse the internet, play video games, and post on social media without using their hands or voice.

The U.S. Food and Drug Administration recently granted Neuralink's device a “breakthrough” designation—a status that accelerates the review process for medical technologies that have the potential to offer significant advantages over existing options.

Despite criticism over its animal testing practices and ambitious timelines, Neuralink continues to draw attention as one of the most prominent players in the neurotech space. Its long-term vision goes far beyond treating medical conditions. Musk has previously outlined plans to use the technology as a bridge between human cognition and artificial intelligence, though those goals remain far on the horizon.

Neuralink is focusing on what it calls "practical, near-term applications"—enabling patients with severe mobility limitations to regain communication and digital access through thought-driven technology.

Neuralink’s recent progress — from its first patient using a brain implant to browse and communicate, to securing major investor support — signals the company is moving beyond bold ideas and into the realm of tangible, real-world application.

Also Read: Neuralink Successfully Implants Brain Device in Third Patient

The app is designed to let people access a variety of open-source AI models from Hugging Face, a popular platform for AI development. These models can perform tasks like generating images, answering questions, summarizing content, editing code, and more — all locally on your device.

The AI Edge Gallery app is currently available for Android via GitHub, with an iOS version expected soon. Since the models run on the phone itself, users don’t have to send their data to cloud servers. That means more control over privacy, better security, and the ability to use AI tools even when offline.

What the App Can Do

Once installed, the app’s home screen offers easy-to-use tools like:

• AI Chat: For having conversations or asking questions

• Ask Image: To analyze and interpret photos

• Prompt Lab: A sandbox for running one-time AI tasks like summarizing text or rewriting content

Each function lists recommended models for that specific task, such as Google's own Gemma 3n. The Prompt Labfeature also includes ready-made templates and adjustable settings, letting users fine-tune how each AI model behaves.

Performance Depends on Your Device

Google warns that how fast and effectively the models run will vary based on your phone’s hardware and the size of the model. For example, larger models may take longer to respond or use more processing power, while smaller models will be faster and more efficient.

High-end phones will perform better, while older or budget devices might experience lag or limited functionality. Still, the fact that these models can run without needing Wi-Fi or cellular data is a major plus for users on the go or in areas with poor connectivity.

A New Direction for Mobile AI

By moving AI processing from the cloud to the device, Google is addressing growing concerns about data privacy and network dependency. This shift allows users to take advantage of powerful AI tools without sacrificing control over their personal information.

The app is open-source and released under the Apache 2.0 license, meaning developers can use it freely for commercial or personal projects. Google is encouraging the tech community to test it, give feedback, and help improve the platform during this early "Alpha" release phase.

Local AI Power: Faster Responses and Stronger Privacy on Your Device

Most AI systems today rely on cloud servers, requiring constant internet access and often sending personal data to external locations—raising serious privacy concerns. Google’s AI Edge Gallery flips this by enabling AI models to run fully on your device, keeping data private and offline.

As smartphones continue to become more powerful, Google’s move signals a bigger trend toward on-device AI, which prioritizes privacy, offline access, and faster processing.

Whether you're a developer, an AI enthusiast, or just curious about trying advanced AI tools on your phone, the Google AI Edge Gallery offers a new and flexible way to explore artificial intelligence — no cloud required.

Also Read: Shopify Launches AI Tool That Builds Fully Functional Online Stores Using Only Keywords

Big Subscriber Gains in Late 2024

Netflix added nearly 19 million new subscribers in the last quarter of 2024. This was a surprising boost, especially because many expected Netflix’s growth to slow down as more streaming competitors like Disney+ and Amazon Prime Video fight for viewers. Netflix’s subscriber base now remains one of the largest in the world, thanks to its global reach and popular shows.

Ad-Supported Plan Growing Quickly

Netflix’s ad-supported subscription plan has grown from 70 million monthly active users in November 2024 to 94 million users recently. This means millions more people are watching Netflix while viewing ads, rather than paying for the ad-free version. This growth is important because Netflix can make money from advertisers in addition to subscription fees.

Interestingly, Netflix now reaches more viewers aged 18 to 34 than any major U.S. TV network — both broadcast and cable. This young audience is very valuable to advertisers, helping Netflix increase ad revenues.

Expanding Advertising Globally

Netflix is rolling out its internal advertising platform to 10 new countries beyond the U.S. and Canada. The platform uses advanced technology to insert ads smoothly during shows, improve ad targeting through first-party data, and allow automated buying of ads by marketers (called programmatic advertising). These improvements help Netflix attract more advertisers and increase revenue from ads.

Strong Content Lineup and Live Events

Netflix has several popular shows returning in the second half of 2025, including Stranger Things, Squid Game, and Wednesday. These hits help keep current subscribers engaged and attract new ones.

Netflix is also branching into live events, which is a new area for the company. It plans to stream NFL Christmas gamesand boxing matches from Madison Square Garden. These events are expected to draw large audiences, especially to the ad-supported tier, providing more opportunities for ad revenue.

Netflix’s Stock Is Up Big, But Competition Is Heating Up

Netflix’s share price has jumped about 33% this year, mostly because they surprised everyone by adding nearly 19 million new subscribers late last year. Plus, their ad-supported plan is growing fast, now with 94 million people using it every month. This mix of paid and ad-based viewers gives Netflix a unique way to make money compared to other streaming services.

That said, Netflix still faces some big challenges. Competitors like Disney+ and Amazon are spending heavily on new shows and movies, making it tougher for Netflix to keep people hooked. Their hit shows like Stranger Things and Squid Game are crucial for keeping subscribers around.

Netflix is also figuring out how to run ads without annoying viewers. This is tricky because privacy rules keep changing, which can make it harder to target ads effectively. How well Netflix manages this will have a big impact on their ad revenue going forward.

What Netflix’s Future Looks Like for Investors

Bank of America recently raised their price target on Netflix to $1,490, showing they believe in Netflix’s growth potential. Netflix is also trying new things like streaming live sports — NFL games and big boxing matches — which could bring in new viewers and more ad dollars.

But investors should keep an eye on a few things: whether subscriber growth keeps up, how viewers react to more ads, and how Netflix competes with other streaming giants. The next year will be important to see if Netflix can keep its lead or if rivals catch up.

In short, Netflix is doing well right now, but there’s still a lot that could go either way.

Also Read: Netflix Surpasses Expectations with Impressive Subscriber Growth and Revenue Gains

Though Victoria’s Secret has not provided specific details about the incident, it has confirmed that customer support services, including phone and online chat, are currently unavailable. The company’s updated FAQ page cautions customers that there is no estimated timeframe for when the website and related services will be fully restored.

Customers report frustration over the outage, with some saying they experienced website glitches earlier in the week, prior to the official shutdown announcement. The lack of clear communication regarding the issue’s cause has sparked concern among shoppers wondering if a cyberattack or data breach is to blame. Victoria’s Secret, based in Ohio, has yet to confirm whether the disruption stems from a cyberattack or other technical failure.

Despite the online shutdown, Victoria’s Secret’s physical stores, including those under its PINK brand, remain open for customers. However, some in-store services are currently limited. Notably, the company has paused the option to return online purchases at retail locations. Customers are advised to retain their orders until the system is fully operational again.

The company reassured customers it is prioritizing the fulfillment of orders placed before Monday and is extending return windows and some promotional offers to accommodate those affected by the outage. These steps aim to ease the impact on loyal shoppers amid ongoing uncertainty.

This disruption highlights a growing challenge for retailers navigating the complex landscape of digital security. Increasingly, brands face sophisticated cyber threats that can halt online operations and disrupt customer experiences. Experts note that temporarily taking down a website is often a necessary step to investigate and contain potential security breaches, even if it causes short-term inconvenience.

Victoria’s Secret joins a list of major retailers who have recently encountered similar issues, underscoring the importance of robust cybersecurity strategies in the retail industry. While the company’s U.K. website appears unaffected, the incident remains a significant hurdle for its U.S. operations.

For now, Victoria’s Secret is focused on resolving the problem as quickly as possible and has promised to keep customers informed as the situation develops.

Also Read: Shopify Launches AI Tool That Builds Fully Functional Online Stores Using Only Keywords

Announced Wednesday, the new "AI Store Builder" is designed to eliminate the technical hurdles that many first-time merchants face when setting up an online store. By leveraging generative AI, Shopify automatically builds a fully functional storefront—including layout, homepage sections, images, and written content—within minutes.

This marks the first time Shopify has offered a fully automated store creation process within its platform.

“We asked ourselves—what if a merchant didn’t need to design anything at all?” said Vanessa Lee, Shopify’s VP of Product. “Instead of drag-and-drop or filling out forms, they can just tell us what they sell, and AI does the rest.”

How Shopify’s AI Store Builder Works

The AI Store Builder is available during the onboarding process for new Shopify merchants. Here’s how it works step by step:

1. Prompt Input:
   When signing up, merchants are asked to enter a few keywords or a short description of their business. For example: “handmade leather wallets,” “vegan skincare,” or “custom T-shirts for pet lovers.”

2. AI Generation Begins:
   Based on the input, Shopify’s AI engine instantly generates three unique store layouts. Each layout includes:

   • A homepage design

   • Header and navigation setup

   • Hero images and product visuals

   • Pre-written text like taglines, product category descriptions, and featured banners

3. Preview & Customize:
   Merchants can preview the three auto-generated storefronts and select one to move forward with. They can then choose to:

   • Launch immediately

   • Customize colors, fonts, or content using Shopify’s editor

   • Add real product listings or integrate payment and shipping settings

4. Go Live:
   Once satisfied, merchants can publish their site. The entire process—from input to launch—can take less than 30 minutes for a basic store.

What’s Included in the Auto-Built Store

Unlike previous tools that only assisted with parts of the store, this new AI feature creates:

• A fully structured homepage

• Placeholder product categories

• Auto-generated images using keyword-based visual themes

• Marketing copy for banners and call-to-action buttons

• Basic policy pages (like shipping or returns) in editable form

Merchants can overwrite or edit any AI-generated content, but many will find the initial setup complete enough to start selling.

Shopify’s AI Store Builder Changes the Game

This launch is part of Shopify’s larger investment in generative AI, aimed at making e-commerce more accessible. The company already offers tools like:

• AI image editing

• Auto-written product descriptions

• Smart inventory suggestions

Now, by automating store creation entirely, Shopify is positioning itself as a zero-barrier entry point for digital sellers.

Lee said the goal is to “help anyone turn an idea into a business in record time.”

The AI Store Builder is currently rolling out to new users and will soon be available to existing Shopify merchants who want to refresh or rebuild their sites.

Quick Setup Could Open Doors for More Sellers

Building an online store usually demands a lot of time and effort—crafting layouts, writing content, and selecting images. Shopify’s AI Store Builder reduces this workload drastically by instantly producing multiple ready-to-use store designs. This means anyone, even without tech skills or experience, can get their store up and running in minutes. For entrepreneurs, side hustlers, and small businesses, this could be a game changer, making it easier than ever to start selling online and compete in today’s digital marketplace.

Also Read: OpenAI and Microsoft in Talks to Redefine Partnership and Set Stage for Future IPO

Federal EV Tax Credit Set for Early Termination

The federal EV tax credit, established during the Obama administration, offers buyers up to $7,500 in tax relief to encourage the purchase of electric vehicles. This incentive has been a critical factor in making EVs more affordable, helping to boost sales amid higher sticker prices compared to traditional gasoline vehicles.

Under current law, this credit is scheduled to expire on December 21, 2032. However, the “Big, Beautiful Bill” proposes to terminate the credit earlier, on December 31, 2025. If passed, this change would eliminate the tax credit for EV buyers starting in 2026, potentially reducing the affordability of electric vehicles.

New Annual Fees Could Increase Ownership Costs

The bill also includes provisions for new annual fees on EV and hybrid vehicle owners to offset lost revenue from gas taxes, which fund transportation infrastructure projects. According to the proposal, electric vehicle owners would face a $250 annual fee, while hybrid vehicle owners would pay $100 per year.

Transportation experts warn these fees could deter potential buyers and slow the momentum of EV adoption, especially given that many EV models still carry premium prices.

Impact on Consumers and the Automotive Market

Industry analysts express concerns about the proposed changes. Emily Harris, an automotive market expert, noted, “Removing the federal tax credit could significantly slow EV market growth, which relies on incentives to remain competitive with traditional vehicles.”

For example, the Chevrolet Equinox EV costs around $33,600 before taxes and fees. Without the $7,500 tax credit, the vehicle’s effective cost rises substantially, potentially placing it beyond the reach of many middle-income buyers.

Political Background and Environmental Implications

President Trump has been critical of the Biden administration’s electric vehicle policies, arguing that mandates to electrify automakers’ fleets threaten jobs in the traditional auto sector. Although these claims have been disputed by independent fact-checkers, Trump’s stance aligns with his continued support for the oil and gas industry.

The rollback of EV incentives could affect national goals for reducing greenhouse gas emissions. Transportation is currently responsible for nearly 30% of U.S. carbon emissions, and EV adoption is a key strategy in meeting climate targets.

Challenges in Infrastructure Funding

The proposal’s introduction of fees aims to address declining fuel tax revenues due to increased EV usage. However, some experts caution that flat fees may not fairly reflect actual road usage.

“Flat fees could disproportionately impact drivers who use their EVs less frequently,” said Dr. Raj Patel, a transportation economist. “A usage-based fee system may be fairer but is more difficult to implement.”

What Potential Buyers Should Consider

• The tax credit’s accelerated expiration means buyers should evaluate the timing of their EV purchases.

• State and local incentives may continue to provide financial relief.

• Prospective buyers should assess the total cost of ownership, including potential new fees and charging infrastructure expenses.

• Despite policy changes, EVs offer benefits such as lower maintenance and fuel costs that may offset upfront expenses over time.

Impact on Buyers and the Auto Industry

If the “Big, Beautiful Bill” becomes law, the early elimination of the federal EV tax credit and the introduction of new annual fees for electric and hybrid vehicle owners could significantly change the affordability equation for consumers. This shift may slow the rapid growth of EV sales, particularly among budget-conscious buyers who rely on these incentives to make electric vehicles more accessible.

For automakers, the proposed changes raise concerns about future demand and production plans, especially as the industry is still navigating a major transition toward electrification. Manufacturers could face challenges balancing higher prices with consumer demand, potentially delaying investments in new EV models or technologies.

Consumers interested in electric vehicles should stay informed about these legislative developments and consider current incentives before making a purchase. Additionally, state and local rebates may still provide financial benefits, but the overall landscape is likely to become more complex and costly.

Also Read: New EV Tax Credit 2023: List of Electric Vehicle Models Eligible for Up to $7,500 in New Tax Credits- Updated

This move comes in the wake of heightened U.S. controls limiting the export of Nvidia’s most powerful AI processors to China. With shipments of its flagship H20 chip now severely restricted, Nvidia’s revenue stream from China — which accounted for an estimated $17 billion last fiscal year — is under increasing pressure.

The push for a local R&D centre was accelerated by a surprise visit last month from Nvidia CEO Jensen Huang, who met with Vice Premier He Lifeng and Shanghai Mayor Gong Zheng. The high-level meetings signaled Beijing’s receptiveness to Nvidia’s investment despite the ongoing geopolitical tensions, highlighting a rare alignment of interests amid a challenging environment.

China’s AI market is projected to reach $50 billion within a few years, according to Huang. Nvidia sees direct involvement in this growth as critical, not only for maintaining market share but also for fending off aggressive advances by local competitors like Huawei, who have been rapidly developing their own AI chips and software stacks. These domestic firms benefit from government-backed subsidies and increasingly sophisticated technology ecosystems that appeal to local customers.

Key to Nvidia’s strategy is developing a “downgraded” version of its H20 chip, tailored specifically for the Chinese market to comply with export limits while preserving a competitive edge. The Shanghai R&D centre is expected to play a crucial role in this adaptation, allowing Nvidia to conduct on-the-ground testing, customization, and collaborate with Chinese academic and industrial partners.

Local authorities in Shanghai have reportedly offered Nvidia substantial incentives, including tax breaks and a significant land allotment for the facility. Shanghai’s ambition to bolster its status as a global tech and innovation hub aligns well with Nvidia’s needs. The city is home to several international tech giants, such as Tesla’s Gigafactory, which has thrived under a similar model of local collaboration and governmental support.

The establishment of the R&D hub also represents a broader shift in the semiconductor industry, where companies are localizing operations to navigate an increasingly fragmented global supply chain shaped by geopolitical disputes. For Nvidia, the centre offers a way to sustain growth in a critical region while working within the bounds of U.S. export rules.

Nvidia’s sales in China have reportedly dropped nearly 50% since U.S. restrictions came into effect, reflecting a steep decline in shipments of cutting-edge chips. This revenue loss, coupled with rising competition, presents a significant challenge. However, Nvidia’s move to embed R&D efforts locally is an attempt to mitigate risks and remain competitive by offering products tailored to local market needs and regulatory frameworks.

The company’s efforts come at a time when the semiconductor landscape is evolving rapidly. China’s push for semiconductor self-sufficiency — part of its broader “Made in China 2025” initiative — has seen significant investments in domestic chip design and fabrication. For global firms like Nvidia, navigating this environment requires agility and a willingness to engage more deeply with Chinese partners despite regulatory constraints.

While Nvidia has not publicly confirmed the details of the Shanghai R&D project, the initiative underscores the complex balance multinational tech companies face in managing access to the lucrative Chinese market amid intensifying U.S.-China technology tensions.

Why Shanghai?

• Strategic Location: Minhang and Xuhui districts are known for dense tech clusters and access to highly skilled engineering talent, making them ideal for R&D activities.

• Government Support: Shanghai’s local government has a history of providing incentives such as tax breaks, land grants, and streamlined regulatory approvals to attract foreign tech investments, which would ease Nvidia’s establishment process.

• Ecosystem Synergies: Hosting other major international tech players, including Tesla’s Gigafactory, Shanghai offers a vibrant innovation ecosystem that Nvidia can tap into for collaboration and supply chain benefits.

• Mitigating Export Restrictions: By developing chips locally and adapting designs on the ground, Nvidia can better comply with U.S. export laws while maintaining its competitive position in China.

Nvidia’s plan to open an R&D centre in Shanghai shows how much the company values its business in China — despite the growing limits on what technology it can sell there. The restrictions on Nvidia’s top AI chips have already hit its sales hard, but the company is betting that being on the ground in China will help it adjust its products and work more closely with local partners.

This new centre will let Nvidia design chips that fit China’s rules and customer needs better than if everything was done from abroad. It’s a practical step to keep a foothold in one of the world’s fastest-growing AI markets, even as the company faces stiff competition from homegrown rivals backed by the government.

Also Read: Nvidia Sinks 6% on U.S. AI Chip Ban as Asia Markets Dive on China GDP, Tariff Shock

This move is part of Saudi Arabia’s larger effort to shift its economy away from oil and become a key center for advanced technologies by the end of the decade.

Focus on Building AI Centers and Skilled Workforce

Under the new partnership, Nvidia will help Saudi Arabia build AI data centers, often called “AI factories,” which are advanced facilities used to process and store large amounts of data. These centers are important for training AI models and powering new technology tools.

The deal also includes programs to train local talent in AI and software development, helping Saudi developers gain the skills needed to work in the industry. While exact investment numbers were not shared, the agreement is expected to result in large-scale support for Saudi Arabia’s tech ambitions.

Abdullah bin Sharaf Alghamdi, head of the Saudi Data and AI Authority (SDAIA), said the agreement is a strong step in the country's effort to build a technology-driven economy that creates jobs and prepares for the future.

New Government-Led AI Company "Humain" Launched

One day before the Nvidia agreement, Crown Prince Mohammed bin Salman launched a new national company called Humain. The company will focus on developing and managing AI systems that support various sectors like education, healthcare, and smart cities.

Humain is expected to work with both local and international organizations to build advanced AI solutions in the Kingdom. It is also expected to play a key role in improving government services and helping Saudi Arabia compete in the global technology market.

Proud of the launch of #HUMAIN, a bold step by #PIF to make Saudi Arabia a global AI leader. It is a strategic move toward Arabic LLMs, secure infrastructure, and a research-driven digital economy. #SaudiVision2030 ???????? pic.twitter.com/xCtbJ3kWQt

— Dr. Saja Alqurashi| د. سجى القرشي (@saja_alqurashi) May 12, 2025

Trump’s Visit Highlights Business Cooperation

President Trump’s current trip to Saudi Arabia has included several business-related meetings, with a clear focus on encouraging partnerships between U.S. companies and Gulf countries. The timing of the Nvidia announcement reflects Saudi Arabia’s goal to attract international support for its digital plans.

Rather than discussing military or political issues, Trump’s visit has been centered around economic development and trade opportunities, especially in sectors like tech, finance, and energy.

A Key Step in Saudi Arabia’s Tech Plans

This AI deal with Nvidia fits into Saudi Arabia’s larger Vision 2030 plan, which includes increasing digital services, building tech-related jobs, and investing in cloud and data technologies.

Saudi Arabia has already announced it wants to become one of the world’s top countries in AI by the next decade. The government plans to invest billions in technology and build partnerships with global tech leaders to support these goals.

By working with Nvidia—a company known for powering AI systems worldwide—Saudi Arabia is taking clear action to support its long-term technology plans and reduce its economic dependence on oil.

Also Read: OpenAI and Microsoft in Talks to Redefine Partnership and Set Stage for Future IPO

The National Highway Traffic Safety Administration (NHTSA) has sent Tesla a formal request for more information, focusing specifically on how its Full Self-Driving (FSD) technology will perform in situations with reduced roadway visibility — such as heavy rain, fog, or nighttime conditions. The letter, made public on Monday, comes as Tesla prepares for a June launch of the service.

The inquiry is tied to an ongoing NHTSA investigation into multiple collisions involving Tesla vehicles that were reportedly operating in FSD mode during poor visibility. The agency wants to evaluate whether Tesla's autonomous system can reliably detect and respond to hazards when road conditions are less than ideal.

“NHTSA is seeking clarity on Tesla’s robotaxi development to assess the system’s capacity to appropriately respond to reduced visibility on the road,” the agency said in the statement.

Tesla has not yet responded publicly to the request.

CEO Elon Musk has repeatedly touted Tesla’s FSD technology as a cornerstone of its future, with robotaxis positioned as a major revenue stream. However, critics argue that the system — despite its name — still requires human supervision and has faced scrutiny for inconsistent performance under complex driving scenarios.

The pressure from regulators comes at a critical time, as Tesla faces increased competition in the autonomous vehicle space and intensifying calls for tighter federal oversight of self-driving technologies.

The NHTSA has not indicated whether the Austin deployment will be delayed, but the agency’s request could add pressure on Tesla to demonstrate its technology’s safety in real-world conditions before any public rollout.

With June fast approaching, how Tesla responds could influence not only its robotaxi timeline but also broader public and regulatory confidence in self-driving cars.

Also Read: Volvo Recalls 413,000+ Cars in the U.S. Over Rearview Camera Failure — See If Your Model Is Affected

At the heart of the talks is OpenAI’s need for more financial flexibility. As the company behind ChatGPT and other cutting-edge AI tools, OpenAI has become a key player in the fast-growing AI industry. However, its current investment structure—heavily tied to Microsoft—could make it difficult to attract new investors or prepare for a future initial public offering (IPO).

Microsoft, which has invested over $13 billion in OpenAI, benefits from exclusive early access to OpenAI’s most powerful models. This integration supports major Microsoft products like Azure cloud services and Microsoft 365. The company wants to make sure that this access isn’t lost, even if OpenAI changes its ownership structure by going public.

The discussions are focused on reshaping the terms of the partnership so OpenAI can operate more like a traditional business. That would give it the ability to grow independently, raise capital from a wider pool of investors, and eventually list on the stock market—all while preserving Microsoft’s lead in incorporating OpenAI’s technology into its products.

This move comes at a time when AI competition is heating up globally, and both companies are under pressure to innovate quickly. OpenAI wants to stay flexible and financially strong as it develops next-generation AI, and Microsoft wants to remain at the forefront of AI-powered software and cloud services.

While the new agreement hasn’t been finalized yet, people familiar with the matter say both sides are motivated to find a solution that works long-term. If successful, the deal could pave the way for OpenAI’s future as a publicly traded AI powerhouse, while keeping Microsoft deeply embedded in the evolution of artificial intelligence.

Also Read: OpenAI Hits $300B Valuation After $40B Funding Round with SoftBank

The defect spans several Volvo models, including the 2021 to 2025 XC40. While Volvo has not reported any injuries or accidents linked to the issue so far, the malfunction directly undermines the vehicle’s compliance with federal safety standards that require functional rear visibility systems in all new cars.

To correct the issue, Volvo plans to roll out a software update. Owners can either visit authorized dealerships or receive the fix through over-the-air updates, depending on their vehicle’s software capabilities.

Platform Overlap Ties Recall to Polestar’s Recent Issues

The timing of Volvo’s recall coincides with a nearly identical move by Polestar, the Swedish electric vehicle maker that shares its technical architecture with Volvo. Just last week, Polestar issued a recall for over 27,000 Polestar 2 units in the U.S., citing the same rear camera defect.

Both companies utilize the CMA (Compact Modular Architecture) platform, developed in partnership between Volvo Cars and its Chinese parent company, Geely. This commonality in design and software increases the likelihood that system-level bugs or hardware issues could affect vehicles across both brands.

While the Polestar 2 is no longer available for new orders in the U.S., the recall affects thousands of existing units still on the road. The overlap also raises questions about potential vulnerabilities in shared vehicle platforms and how swiftly automakers can respond with fixes.

Volvo to Cut Jobs in South Carolina Plant Amid U.S. Strategy Shift

In addition to the recall, Volvo Cars confirmed it will lay off approximately 5% of its workforce at its Charleston, South Carolina manufacturing facility. The move is part of a broader cost-cutting initiative aimed at reshaping Volvo’s U.S. operations, which have been under pressure from changing market dynamics and increasing tariff costs.

The Charleston plant, which produces models like the S60 sedan and is expected to handle production of the upcoming fully electric EX90 SUV, is a key pillar in Volvo’s North American strategy. However, the company’s restructuring signals a recalibration of its growth expectations in the U.S. as it faces shifting economic conditions and global supply chain challenges.

Just last month, Volvo withdrew its earnings forecast for the year, citing tariff impacts and a need to streamline operations. The recall and job cuts further underscore the company’s efforts to stay competitive in a tightening and increasingly regulated automotive landscape.

What U.S. Volvo Owners Need to Know

• Affected Models: Primarily 2021–2025 Volvo XC40, but other models may be involved. Full VIN lists will be available through NHTSA and Volvo’s official recall page.

• Issue: Rearview camera may fail to display image when reversing.

• Fix: Free software update available through dealership or over-the-air (OTA), depending on the model.

• Next Steps: Vehicle owners will be notified by Volvo beginning in mid-May. Those unsure about their vehicle’s status can check their VIN on the NHTSA recall lookup site.

Rearview camera systems have become a standard feature in modern vehicles, both for convenience and safety. A non-functioning camera reduces a driver’s situational awareness, especially in urban or high-traffic areas. While the fix is relatively straightforward, the scale of the recall — affecting over 400,000 vehicles — makes this one of Volvo’s more significant safety actions in recent years.

Moreover, the coinciding issues with Polestar raise larger concerns about the interconnected nature of automotive platforms and how faults in shared components can ripple across brands and markets.

Also Read: Volkswagen, Audi Recall 60,000+ Vehicles Over Gear Display Issue – Check Affected Models

The ruling, led by Ireland’s Data Protection Commission (DPC), found that TikTok failed to protect European users' data when it was accessed by employees in China. Regulators said the platform didn’t meet EU-level standards and didn’t fully inform users that their data might be available to teams based in China — a key violation of GDPR transparency rules.

Most of the fine — around $550 million — relates directly to these unlawful data transfers, with an additional $50 million tacked on for failing to clearly communicate where the data was going and who could access it.

TikTok responded quickly, saying it disagrees with the findings and will appeal. The company stressed that it has taken steps to strengthen data protections, pointing to “Project Clover,” an initiative aimed at improving how European user data is stored and accessed. Christine Grahn, TikTok’s Head of Public Policy in Europe, added that TikTok has never handed over user data to Chinese authorities and maintains that it follows strict legal procedures.

Still, regulators are pushing back. They said TikTok didn’t do enough to account for Chinese surveillance laws — like those covering anti-terrorism and counter-espionage — when evaluating the risk of data access from China. That lack of due diligence, they argue, puts users’ privacy at risk.

The fine comes with a warning: if TikTok doesn’t fix these issues within six months, the company could face restrictions on future data transfers to China, which could have a major impact on its European operations.

This isn’t TikTok’s first run-in with regulators. In 2023, it was fined $368 million for mishandling children’s data. That same year, Meta was fined a record $1.3 billion for similar data privacy violations related to Facebook.

The EU is clearly sending a message: companies doing business with European users need to respect the rules, or face consequences. For TikTok, this could mean not just financial penalties, but a real test of its global strategy at a time when trust, transparency, and data safety are more important than ever.

Also Read: TikTok: From Fun App to National Security Concern - A Complete Timeline

A cryptocurrency initiative co-founded by OpenAI CEO Sam Altman has officially launched in the United States, bringing its unique eyeball-scanning technology to the public. The project, developed by Tools for Humanity and previously known as Worldcoin, has now rebranded to "World" and is making its U.S. debut with iris-scanning devices and a cryptocurrency reward system.

Residents in cities including Atlanta, Austin, Los Angeles, Miami, Nashville, and San Francisco can now visit designated locations to have their irises scanned through a specialized device known as the "orb." Participants who verify their human identity through this biometric process are granted a digital identity, referred to as a World ID, and receive WLD, the project's native cryptocurrency. These services are accessible via the official World app.

The U.S. rollout marks a significant milestone for the project, which initially avoided launching domestically due to regulatory uncertainties. When Worldcoin debuted in July 2023, its creators opted to exclude the U.S. from the token distribution, citing legal ambiguity. In a joint statement at the time, Altman and Tools for Humanity CEO Alex Blania expressed hopes that the evolving regulatory environment would eventually allow broader participation.

That time appears to have arrived. With President Donald Trump back in office and former SEC Chair Gary Gensler having stepped down, the U.S. crypto regulatory landscape has shifted. Multiple crypto firms—including OKX and Nexo—have returned to the American market in recent months, crediting a more innovation-friendly atmosphere under the new administration. Nexo cofounder Antoni Trenchev praised the Trump administration’s approach, stating that the U.S. had once again become a hub for crypto innovation.

Under the current government, key regulatory agencies like the SEC and the Commodity Futures Trading Commission have scaled back their enforcement efforts targeting digital assets. The Justice Department has also shuttered its crypto-specific investigation unit. Notably, the SEC has dropped several high-profile cases involving major crypto firms such as Coinbase, Ripple, Uniswap, and Kraken.

Founded in 2019, World has positioned itself as one of the most ambitious ventures in the blockchain space. By using custom biometric hardware to verify users’ identities, the project aims to establish a global framework for proving human authenticity online—particularly critical as artificial intelligence becomes more sophisticated. At the same time, World seeks to distribute a decentralized currency as a basic financial right.

Despite raising hundreds of millions in funding, World has faced pushback from regulators and privacy advocates around the globe. With approximately 12 million people enrolled so far, the company has set its sights on scanning billions of individuals. Whether this recent U.S. expansion leads to widespread adoption remains to be seen. The intersection of digital identity, privacy, and cryptocurrency is still a topic of active debate—and World is placing itself at the center of that conversation.

World Project FAQs

Also Read: Adobe Rolls Out 'Do Not Train' Tag to Block AI From Using Your Photos

As part of the plan, IBM will direct more than $30 billion toward research and development projects that support the manufacturing of quantum computers. The company currently manages one of the largest fleets of quantum systems globally and confirmed it will continue designing, building, and assembling these machines in the United States.

The investment is intended to expand IBM’s technical capabilities while also increasing its domestic production footprint. The company emphasized that growing its U.S.-based manufacturing operations is a priority, particularly for advanced technologies like quantum computing.

Market Reaction

Shares of IBM closed at $232.41 on April 25, gaining 1.34% for the day. The stock showed continued strength in pre-market trading, reflecting positive sentiment following the company’s announcement.

Strategic Importance

IBM’s decision to expand research and manufacturing in the U.S. comes at a time when strengthening domestic technology production has become a national priority. By building quantum systems in the United States, IBM aims to support job creation in high-skilled sectors and contribute to maintaining the country’s leadership in critical technologies.

Quantum computing is viewed as a key area for future innovation, capable of advancing industries like pharmaceuticals, logistics, and materials science. IBM’s new investment signals a longer-term plan to develop this technology for both commercial and governmental use.

The company did not provide a detailed breakdown of where the investments will be made but noted that U.S. facilities will remain the core centers for quantum system production.

Also Read: Apple Joins U.S. Effort for Responsible AI Use, White House Announces

During a pivotal trial this week, executives from both companies confirmed they would want to be considered potential buyers if Chrome hits the market. This trial, overseen by Judge Amit Mehta, could lead to major changes at Google after the court previously ruled that it had built an illegal monopoly in online search.

The U.S. Department of Justice is pushing for Google to sell off Chrome, and possibly even parts of its Android operations, to break up its dominance.

Yahoo Sees Chrome as a Key to Search Growth

Brian Provost, Yahoo Search’s general manager, testified that Yahoo would be ready to buy Chrome, even though the deal would cost tens of billions of dollars. Provost said Yahoo’s parent company, Apollo Global Management, would back the move financially.

Owning Chrome could dramatically improve Yahoo’s small share of the search market, Provost added. Right now, Yahoo holds about 3% of the search market. With Chrome, that figure could jump into double digits. Chrome currently commands around 66% of the global browser market, far ahead of Apple's Safari at 18% and Microsoft's Edge at 5%.

Calling Chrome "arguably the most important strategic player on the web," Provost also revealed that Yahoo has been working on developing its own prototype browser.

OpenAI Sees Chrome as a Game-Changer for AI Search

OpenAI is also eyeing Chrome to strengthen its search platform powered by ChatGPT. Nick Turley, head of product for OpenAI’s AI search team, said acquiring Chrome would massively expand ChatGPT’s reach and improve its performance. Currently, OpenAI’s search technology relies heavily on Microsoft’s Bing, with Microsoft being its largest investor.

Dmitry Shevelenko, chief business officer at AI startup Perplexity AI, echoed the sentiment. He said Perplexity could also operate Chrome effectively and leverage it to grow its business. However, he raised concerns about the future of Chromium — the open-source platform that underpins Chrome — if a new buyer were to close it off. Many browsers, including Microsoft Edge, depend on Chromium’s open technology to function and innovate.

Google Pushes Back Against Forced Sale

Google is fighting hard against the idea of being forced to sell Chrome. A company spokesperson warned that selling Chrome could harm smaller browser companies that rely on Chromium and weaken security and privacy protections for millions of users worldwide.

The antitrust trial is expected to wrap up by May 9, with Judge Mehta likely issuing a final decision by August. The case’s outcome could reshape not only Google’s future, but the entire internet landscape.

Also Read: Google Wallet Rolls Out In-Store Payments for Kids in Select Countries

The tool represents one of the clearest efforts yet from a major tech company to help creators retain some control over how their work is used by AI systems. But with no enforcement mechanism in place and AI developers historically ignoring opt-out requests, questions remain about its effectiveness.

How the Tool Works?

Adobe’s content credentials are built on the Coalition for Content Provenance and Authenticity (C2PA) standard, which allows creators to add tamper-resistant metadata to their content. Through the new app, users can upload batches of up to 50 JPG or PNG files and embed the following:

• Creator name and social handles

• A verified LinkedIn identity (optional)

• A flag signaling the image is not to be used for AI training

This metadata is not just text added to a file — Adobe applies cryptographic protections, pixel-level watermarking, and digital fingerprinting to make it resilient against editing or reformatting. Even if someone crops or alters an image, the embedded credentials remain traceable.

A Chrome extension will also let users instantly verify the presence of these credentials on web images. If detected, a small “CR” badge will appear, indicating the image carries Adobe-certified metadata.

Big Tech’s Track Record on Respecting Digital Boundaries Isn’t Encouraging

Despite the technical sophistication of Adobe’s system, its impact is still in doubt. Currently, there are no legal or technical obligations for AI companies to comply with this opt-out request. This makes Adobe’s effort more of a moral guideline than an enforceable rule.

Most major AI crawlers, including those operated by OpenAI, Google, and Meta, have been documented ignoring robots.txt — the long-established method websites use to restrict crawlers. Whether these firms will treat Adobe’s visual opt-out any differently remains to be seen.

Power Dynamics in AI Training Are Skewed

For many artists and independent creators, AI model training represents a troubling form of unauthorized data usage. Their work — often publicly available but never intended for reuse — has been quietly harvested to train systems that could eventually replace or devalue their profession.

This growing tension has led to high-profile lawsuits, industry protests, and calls for regulation. Adobe’s content credentials offer a way for creators to formally register their intent, providing valuable evidence in potential disputes or future legislation.

And while current copyright law doesn’t yet offer clear protections in these cases, intent metadata could become a useful factor in legal interpretations.

Balancing AI Innovation and Creator Rights

Adobe finds itself in a unique position. The company is both an innovator in AI-powered tools (like Firefly, its generative image engine) and a legacy partner to creative professionals. It must now walk a tightrope — advancing AI while also protecting the creators who rely on its tools.

By supporting the C2PA standard and launching this app, Adobe is attempting to build a good faith framework for AI-era digital ownership. The company has confirmed that it is actively engaging with top AI model developers to push for broad adoption of the new standard, though no agreements have been finalized.

Potential Expansion to Video and Audio

While the tool currently supports still images, Adobe has confirmed plans to extend this technology to video and audio files. This would be a significant move, as creators across film, podcasting, and music also face risks of their content being scraped and repurposed by generative models.

Such expansion could help form the basis for a universal opt-out mechanism across media types, providing a much-needed layer of protection as AI continues to evolve.

A Welcome Step — But Still a Work in Progress

Adobe’s new tool offers creators a way to assert control and claim authorship — a small but meaningful signal in an industry that’s rapidly automating content generation. But without full cooperation from the companies training the AI, this initiative’s success will depend on how seriously the tech world chooses to treat creator consent.

 It marks a rare moment where a major tech player is investing in creator-first infrastructure, rather than just pushing forward with AI regardless of consequences.

Also Read: Adobe Launches AI Agents to Enhance Online Marketing and Personalization

On Wednesday, the European Commission fined Apple 500 million euros ($571 million) for blocking app developers from guiding users to cheaper purchasing alternatives outside the App Store. This fine comes as part of the EU's push to regulate so-called "gatekeeper" companies in the digital marketplace.

Meanwhile, Meta faced a fine of 200 million euros for restricting Facebook and Instagram users’ options by forcing them to choose between personalized ads or paying to avoid them. This decision aims to prevent the company from taking away users' freedom to control how their data is used across its platforms.

First Fines Under the Digital Markets Act

These fines represent the first enforcement of the DMA, a set of stringent rules designed to open up digital markets to more competition, prevent market monopolies, and ensure consumers have more control over their data. The DMA holds "gatekeepers" like Apple and Meta accountable for actions that restrict user choice and hinder fair competition.

Henna Virkkunen, the European Commission's Executive Vice President for Tech Sovereignty, said, "The decisions adopted today find that both Apple and Meta have taken away this free choice from their users, and are required to change their behavior."

Apple and Meta have both announced their intention to appeal the fines. Apple argued that it is being unfairly targeted and stated that it had already made numerous changes to comply with the DMA. Meanwhile, Meta expressed frustration, claiming that the penalties would significantly impact its business model and harm European economies by restricting personalized ads.

What the Fines Mean for the Digital Marketplace

The fines highlight the EU’s ongoing effort to regulate the digital space, which includes ensuring that users have the freedom to choose how their data is handled. In the case of Apple, the Commission has taken issue with the company's rules, which prevent app developers from suggesting cheaper purchasing routes to consumers outside the App Store. The new rules under the DMA mandate that developers must be allowed to inform customers about more affordable options.

As for Meta, its business model of offering Facebook and Instagram users the option to pay for an ad-free experience raised red flags with regulators. The Commission argued that the structure of Meta’s system limits users' ability to freely consent to data collection for personalized ads, making the choice between paying for an ad-free service or accepting ads less transparent.

Continued Tensions Between the EU and Big Tech

These fines come amidst growing tensions between the EU and U.S. tech companies. Meta has accused the Commission of unfairly restricting American businesses while giving European and Chinese firms a free pass. The Commission, however, has responded firmly, stating that its regulations apply equally to all companies, regardless of their origin.

EU continues to clamp down on digital giants, these penalties are seen as part of a broader effort to bring more transparency and fairness to the tech sector. With Apple and Meta appealing, the outcome of these cases could set the tone for future enforcement actions under the Digital Markets Act.

Also Read: How to Remove Weird AI Videos from Instagram and TikTok Feeds

The deal involves both Airtel and its regional arm, Bharti Hexacom, and includes spectrum in Mumbai, Gujarat, Andhra Pradesh, Karnataka, Tamil Nadu, and Rajasthan—circles that are critical to Airtel’s overall network performance due to their dense populations and growing digital usage.

Additional Bandwidth to Support Network Load in Urban Regions

The 26 GHz band is part of the millimeter-wave spectrum, which supports extremely fast data speeds and is ideal for high-capacity areas. With more users switching to 5G devices and data-heavy services like video streaming, online gaming, and real-time applications, telecom providers need additional bandwidth to manage increasing load on their networks.

By acquiring this spectrum, Airtel is securing the infrastructure needed to meet growing demand without compromising speed or service quality in cities and industrial hubs.

Deal Completed Through Spectrum Trading, Avoiding Auction Delays

Rather than waiting for a government-conducted spectrum auction, Airtel opted to purchase the airwaves directly from Adani Data Networks through spectrum trading—a route that is permitted under India's telecom regulations. This allowed Airtel to fast-track the expansion of its 5G network, especially in circles where immediate upgrades are required.

For Adani, which had originally acquired the spectrum for private network use in enterprise environments, the sale offers a way to repurpose unused airwaves and redirect them toward commercial telecom services.

Airtel's 5G Growth Targets Backed by New Spectrum Access

Airtel’s 5G services have seen rapid adoption, with around 120 million users already on its 5G network by the end of December 2024, out of a total subscriber base of 414 million. The additional spectrum from Adani allows Airtel to continue that growth without the risk of network strain, especially in densely populated zones.

The company has been steadily rolling out its 5G services across India and is focusing on both consumer markets and enterprise clients who require high-speed, low-latency connectivity.

Competitive Momentum in India's 5G Race

The Indian telecom industry is in a phase of rapid 5G rollout, with major players like Airtel and Reliance Jio building out nationwide networks. Access to high-frequency spectrum like the 26 GHz band is becoming a key asset, especially in urban areas where data use is highest.

This transaction strengthens Airtel’s position in those high-demand circles and reflects the growing role of inter-operator spectrum trading as a practical solution for network expansion in a fast-moving market.

Also Read: Ambani Eyes African Expansion with New Telecom Venture

Top Industries Dominating the List

A significant portion of Glassdoor’s top internships for 2025 comes from the tech sector, but fields like consulting, finance, and biotech are also well-represented. These industries are known for offering competitive pay, robust career prospects, and the kind of stability that today’s job market demands.

"The attractiveness of these internships isn’t just about the pay,” said Daniel Zhao, Glassdoor's lead economist. “These industries offer high career growth potential and greater job security, particularly in a market that’s become more volatile over the past few years."

In a year marked by a cooling job market, companies with strong, established reputations are particularly appealing to interns, as they offer both career advancement opportunities and a sense of job security.

Glassdoor’s Top 10 Internship Rankings for 2025

Glassdoor’s rankings of the top internships take into account multiple factors, including the median monthly salary, the company’s overall ratings, and feedback about critical workplace elements such as career opportunities, culture, and work-life balance. Here are the companies topping the list this year:

10. LinkedIn

• Median Monthly Salary: $8,333

• Overall Rating: 4.1

9. Synchrony

• Median Monthly Salary: $5,166

• Overall Rating: 4.1

8. Microsoft

• Median Monthly Salary: $7,875

• Overall Rating: 4.1

7. McKinsey & Company

• Median Monthly Salary: $8,333

• Overall Rating: 4.1

6. Genentech

• Median Monthly Salary: $7,500

• Overall Rating: 4.1

5. Uber

• Median Monthly Salary: $7,750

• Overall Rating: 4.1

4. AMD

• Median Monthly Salary: $7,916

• Overall Rating: 4.2

3. NVIDIA

• Median Monthly Salary: $8,333

• Overall Rating: 4.2

2. Capital One

• Median Monthly Salary: $8,833

• Overall Rating: 4.2

1. EY - Parthenon

• Median Monthly Salary: $7,500

• Overall Rating: 4.4

How Glassdoor Compiled Its Rankings

To determine the top internships for 2025, Glassdoor analyzed a variety of factors, including median salary, employee ratings, and specific workplace characteristics like work-life balance and company culture. Companies had to meet specific qualifications, such as having at least 1,000 employees, 15 submitted salaries, and a minimum of 15 reviews from U.S.-based interns between April 2024 and March 2025.

What Makes These Internships a Big Deal Right Now

Let’s be real—internships in 2025 aren’t just résumé fillers anymore. With the job market tighter than it’s been in years, landing a spot at a top company means a lot more than just earning a monthly paycheck.

These roles can open serious doors. Interns at companies like NVIDIA, EY-Parthenon, and Microsoft aren’t just fetching coffee—they’re getting hands-on with real projects, learning directly from experienced teams, and in many cases, setting themselves up for full-time offers before graduation.

What really stands out is the kind of access these internships give you: exposure to fast-moving industries, one-on-one mentorship, and the chance to see what it’s actually like working at companies known for innovation and leadership. In a time when job stability is harder to find, having experience at a big-name firm can give you an edge that lasts well beyond summer break.

Also Read: March Jobs Report Shocks With 228,000 New Hires — But Tariffs Could Ruin the Party

Efficacy Results Fuel Market Optimism

After 40 weeks of treatment, Orforglipron users lost an average of 4.7% to 7.9% of their body weight depending on dosage, while those on placebo shed just 1.6%. Improvements in HbA1c, a key blood sugar marker, ranged from 1.3% to 1.6%. While it didn’t fully meet the 2% HbA1c drop that analysts such as TD Cowen had hoped for, the weight loss data was in line with expectations.

Importantly, side effects were manageable. Around 8% of patients on the highest dose discontinued treatment, while nausea was reported in 13% to 18% of participants. Diarrhea and vomiting were also noted, but no liver-related issues were observed—especially reassuring after Pfizer halted its competing pill, danuglipron, due to liver safety concerns.

Also Read: Tech Stocks Drop Due to AI Spending and Economic Worries; Eli Lilly and Berkshire Hathaway Perform Well

Competitive Advantage in a Crowded Market

Unlike peptide-based injectables such as Mounjaro and Wegovy, Orforglipron is a small molecule drug, offering easier manufacturing and distribution. This gives Lilly a strategic edge as the global obesity drug market is projected to grow to $150 billion. Pills are more accessible and cost-effective than injections, particularly in underserved and emerging markets where healthcare infrastructure can be limited.

Novo Nordisk, Lilly’s main rival, is also pursuing oral GLP-1 therapies but has faced setbacks. Results from Novo’s mid-stage pill trial last year underwhelmed investors, and its shares dipped 1% following Lilly’s latest news. Viking Therapeutics, a smaller biotech in the space, saw its stock fall 7%.

Investor Sentiment and Stock Market Reaction

The market’s reaction underscores confidence in Lilly’s execution. Kevin Gade of Bahl & Gaynor called the trial results “fantastic,” while BMO Capital Markets praised the drug’s tolerability profile. Wall Street is now pricing in future upside as Orforglipron moves closer to approval, potentially securing Lilly’s place at the top of the metabolic disease treatment sector.

Regulatory Roadmap and Commercial Strategy

Lilly is planning global regulatory submissions for weight-loss approval by the end of 2025, followed by diabetes indications in 2026. The company has already invested $550 million into inventory preparation, signaling strong expectations for rapid commercial rollout.

A second late-stage trial targeting obesity is expected to release data later this year. Success there would position Orforglipron as one of the first oral drugs approved for both weight management and type 2 diabetes, expanding its addressable market significantly.

Portfolio Synergy and Market Penetration

Lilly already commands attention in the injectable drug space with Mounjaro and Zepbound. Adding Orforglipron to its product lineup would allow the company to serve a broader patient base across multiple delivery platforms. The combination of injectables and oral therapies could help Lilly capture share from both early-stage patients and those unwilling to start with injections.

This portfolio approach also strengthens Lilly’s position in negotiations with insurers, who are actively seeking more affordable and scalable solutions to manage obesity-related healthcare costs. If priced competitively, Orforglipron could see swift uptake among payers and providers.

Strategic Growth Catalyst

Eli Lilly’s results from the Orforglipron trial point to a strong pipeline strategy with significant commercial upside. The company’s lead in the oral GLP-1 race puts it in a favorable position as investor interest in obesity and metabolic drugs continues to grow.

The latest trial results not only validate Orforglipron’s efficacy but reinforce investor confidence in Lilly’s long-term strategy to dominate this segment. For investors tracking biotech growth stories, this could mark a pivotal turning point in the fight for weight-loss drug supremacy.

Also Read: Apple’s Health Innovation: Testing Blood-Sugar Tracking for Prediabetes and Noninvasive Monitoring

This massive investment underscores Nvidia’s commitment to scaling up AI capabilities domestically at a time when the U.S. government is pushing to reduce reliance on foreign production. Tensions in global trade and the imposition of higher tariffs have prompted tech firms to reconfigure their supply chains, bringing more operations back within U.S. borders.

As part of this effort, TSMC has officially begun producing Nvidia’s latest-generation chips at its advanced fabrication facility in Phoenix, Arizona. The factory is a key piece of the puzzle in Nvidia’s strategy to localize production of its high-performance AI chips, which are essential for data centers, machine learning, and other advanced computing applications.

Nvidia's long-term plan involves working with a network of U.S.-based suppliers, foundries, and cloud infrastructure providers to build out AI data centers and develop a domestic pipeline for next-gen AI tools. This will not only help meet growing demand for AI processing power but also strengthen the U.S.'s position in the global technology race.

The Phoenix site is one of several investments being developed in tandem with federal initiatives aimed at boosting semiconductor production in the U.S., including funding incentives through the CHIPS Act. Nvidia’s $500 billion estimate includes hardware, software development, and cloud infrastructure required to support the rapid adoption of AI across industries.

With AI transforming everything from healthcare and transportation to finance and national defense, Nvidia’s move signals a major commitment to scaling technology within the U.S. ecosystem—not just for today’s demand, but to support innovation for the next decade.

Also Read: Apple and Nvidia Get Tariff Relief—iPhones, Laptops, and Chips Avoid Price Hike

The Citan, primarily designed for commercial use, and the T-Class, aimed at private consumers, will both be withdrawn from the market. Their discontinuation also brings an end to Mercedes’ long-running collaboration with French automaker Renault, which co-developed the models under a shared platform agreement.

The decision marks a strategic refocus for Mercedes-Benz as it continues to streamline its vehicle offerings and realign product development priorities. Both models had been built on Renault’s Kangoo platform, forming a part of the German automaker’s effort to compete in the compact van segment.

While Mercedes has not issued an official public statement on the report, internal documents sent to dealers reportedly confirm that production will cease by mid-2026.

The exit of the Citan and T-Class reflects the company's evolving strategy in response to shifting market demand and the challenges of maintaining profitability in the light commercial and compact passenger van categories.

Also Read: Novares, Valeo Force Customers to Pay 25% U.S. Auto Tariff Upfront as Trump Trade Move Hits Hard

Many people call these clips “AI slop.” They’re usually low-effort, bizarre, and designed to grab attention — not because they’re interesting or helpful, but because they trick social media algorithms into thinking people love them. The problem? Once you watch just one, even for a second, your feed might start showing more and more of this junk content.

Luckily, Instagram and TikTok both offer tools to help you reset your content preferences. That means you can tell the app to stop showing you those kinds of videos and get back to seeing posts you actually care about. Here’s how to do that on each app in clear, easy-to-follow steps.

Instagram: How to Reset Suggested Content and Clean Up Your Explore Page

1. Open the Instagram app.

2. Tap your profile picture at the bottom right.

3. Tap the three lines in the top right corner.

4. Scroll down and tap “Content preferences.”

5. Choose “Reset suggested content.”

Instagram will tell you this action changes the types of content you’ll see — but don’t worry, it won’t unfollow anyone or delete anything.

6. Tap “Next.”

7. You’ll see an option to unfollow any accounts you no longer want to follow or change the kinds of ads you see.

8. Tap “Reset suggested content” again to confirm.

This will clear out the AI junk and help Instagram start showing you better content again.

TikTok: How to Refresh Your ‘For You’ Feed

1. Open the TikTok app.

2. Tap your profile icon in the bottom right.

3. Tap the three lines in the top right.

4. Go to “Settings and privacy.”

5. Tap “Content preferences” under “Content & Display.”

6. Choose “Refresh your For You feed.”

TikTok will explain that this won’t delete your saved videos or change who you follow — it just resets the types of videos the app shows you.

7. Tap “Continue.”

8. Tap “Refresh.”

9. If it asks why you’re resetting, choose an answer or skip it.

Your For You feed will now restart and start learning what kind of content you prefer — ideally with less AI noise.

Why You Should Care About Clearing Out AI Content

These strange AI videos aren’t just weird — they push out the stuff you actually want to see. Whether it’s posts from your friends, real creators you follow, or helpful news and entertainment, AI content can drown it all out.

These videos exist just to make people stop scrolling, even if it’s only for a moment. The more people watch them, the more the algorithm promotes them — turning your feed into a mess of confusing, meaningless content.

By resetting your suggestions, you make space for quality, human-made content again. You get more control over what you see, and less of the stuff that just clutters your screen.

Tips to Keep Your Feed Clean Going Forward

• Avoid clicking on AI-looking videos, even for a second — this tells the app you like them.

• Use the “Not Interested” or “Hide” options when you see videos you don’t want.

• Review your content preferences regularly and update them as needed.

• Support real creators by liking and sharing their posts — this helps the algorithm know what you prefer.

With a few quick steps, you can take back control of your Instagram and TikTok feeds. Instead of weird AI clips, you’ll start seeing more real, useful, and enjoyable content again — and that’s what social media should be about.

Also Read: Meta Launches Llama 4 AI Models, Aims to Challenge Rivals with Advanced Features

The timing of the release — on a Saturday — reflects Meta’s urgency to stay ahead in the AI race, particularly as competitors like China’s DeepSeek have recently unveiled high-performing models that challenge the capabilities of Llama 2.

Scout and Maverick Now Public, Behemoth Still in Training

Llama 4 Scout and Maverick are now publicly available for developers through Meta’s platforms, including Llama.com and partners like Hugging Face. Scout is designed to handle large volumes of information efficiently, with a context window of up to 10 million tokens—making it well-suited for document summarization and complex reasoning tasks over extensive codebases. It can operate on a single Nvidia H100 GPU, offering broader accessibility to developers.

Maverick, which Meta positions as its strongest general-purpose assistant, boasts 400 billion parameters in total, with 17 billion active per query. It is intended for tasks like creative writing and complex problem-solving. Internal benchmarking shows Maverick outperforms GPT-4o and Gemini 2.0 in several coding, reasoning, and multilingual tasks, though it still falls short of newer models like Gemini 2.5 Pro and Claude 3.7 Sonnet.

Behemoth, Meta’s largest model to date, remains under development. With nearly two trillion total parameters and 288 billion active, Meta claims Behemoth already shows signs of outperforming many top-tier models in STEM-related benchmarks.

License Restrictions May Limit EU Adoption

Despite the global excitement, Meta has placed strict licensing restrictions on the use of Llama 4. Companies based in the European Union or with principal operations there are barred from using or distributing the models—likely a response to the EU’s growing data privacy and AI regulatory frameworks. Furthermore, companies with more than 700 million monthly users must apply for special licenses, which Meta can approve or deny at its discretion.

These limitations could affect the adoption of Llama 4 in key markets, especially as AI regulations tighten globally.

Meta AI Assistant Now Powered by Llama 4 in 40 Countries

Meta has already integrated Llama 4 into its virtual assistant, Meta AI, across 40 countries in apps like Instagram, WhatsApp, and Messenger. However, the multimodal features are currently limited to English-speaking users in the United States. The assistant now draws on Llama 4’s improved reasoning and contextual capabilities to deliver more nuanced responses in daily interactions.

New AI Architecture Brings Efficiency, Not Just Power

Llama 4 is Meta’s first model collection built on a mixture-of-experts (MoE) architecture. This design allows only a subset of the model’s "experts" to activate during any given task, significantly reducing the computational load while maintaining strong performance.

For example, Scout has 109 billion total parameters but only 17 billion active per task. This makes it not only cost-effective but easier to scale on lower-end infrastructure—a strategic move to widen Meta's reach among developers and researchers.

Greater Response Range on Political and Social Topics

One of the more controversial changes is that Llama 4 has been fine-tuned to respond to a broader range of politically and socially "debated" topics. Meta says the models have been adjusted to provide fact-based responses without avoiding questions or filtering certain viewpoints—marking a shift from previous versions that were often criticized for over-moderation.

This change comes as public figures, including allies of former President Donald Trump, continue to accuse AI platforms of political bias. Meta’s adjustments appear to be a direct response to this pressure, aiming to create models that are more neutral and inclusive in their responses.

While Llama 4 models are impressive in technical benchmarks, Meta's larger goal is to embed them across its ecosystem—from social platforms to enterprise tools. The phased rollout, combined with tiered access and region-specific features, suggests a carefully calculated strategy to scale AI globally while complying with local laws.

The forthcoming release of Behemoth could mark another major milestone. With Behemoth expected to exceed current industry leaders in STEM capabilities, Meta is not just reacting to competition—it’s preparing to lead the next phase of AI evolution.

Also Read: OpenAI Hits $300B Valuation After $40B Funding Round with SoftBank

Posting on his platform, Truth Social, Trump confirmed the extension, saying, “We’ve made great progress on a deal to save TikTok. While there’s more work to do, this order will ensure TikTok stays live for now.”

This decision follows growing interest from several American companies and investors, including Amazon, Walmart, and Andreessen Horowitz, who are reportedly in talks to acquire TikTok’s U.S. operations.

The extension delays a strict law signed by President Joe Biden in 2024, which ordered TikTok to shut down in the U.S. if it stayed under Chinese control. That law cited national security risks, warning that the Chinese government might misuse user data or influence public opinion through the app.

Originally, TikTok was supposed to go offline by January 20, 2025. It briefly did, during the transition from the Biden administration to Trump’s return to office. But it was quickly restored after Trump signed the executive order.

TikTok challenged the law in the U.S. Supreme Court, arguing it violated free speech and other constitutional rights. Some users also filed their own lawsuits, claiming the app ban hurt their personal and professional expression. However, the court sided with the government, saying that due to national security risks and TikTok’s foreign ownership, the ban was legally justified.

The court also noted that users still had access to other social media platforms, so the law didn’t completely block freedom of speech.

In the meantime, TikTok’s future in the U.S. remains uncertain. Although the app is back on Apple’s and Google’s app stores, and users can still access it, the clock is ticking again.

Trump, who previously called for banning TikTok during his first term, reversed his position during the 2024 election campaign, promising instead to protect the app and help secure a deal.

“We don’t want TikTok to go dark,” Trump said, adding that negotiations with China are ongoing and that he hopes to “close the deal” soon.

Until then, all eyes are on the 75-day countdown. If no deal is made within that window, TikTok could once again face a full ban in the U.S., affecting millions of users and businesses who rely on the platform.

Also Read: OnlyFans Founder and Crypto Group Submit Last-Minute Offer to Buy TikTok

TikTok’s current parent company, ByteDance, has until April 5 to agree to sell its U.S. division or face a nationwide ban. This deadline was set by a new U.S. law that targets national security concerns over the app’s Chinese ownership. If a sale isn’t completed in time, the platform could be blocked for its 170 million American users.

Zoop’s approach is different from other companies expressing interest. While some tech giants may see TikTok as another digital asset to grow their reach, Stokely and Phillips are pushing a model that gives 80% of ad revenue directly back to content creators and platform users. They believe those who bring in audiences should benefit more fairly from the business they help generate.

“We’re not just bidding for ownership,” said Phillips. “We’re offering a new direction for how platforms operate — one that includes the people who actually create the content and keep users coming back.”

Zoop is designed to function like other mainstream platforms but with a greater focus on transparency and profit-sharing. The HBAR Foundation, which oversees the Hedera blockchain’s financial resources, supports the plan and aims to integrate blockchain technology to handle revenue distribution and data management.

The proposal arrives as several other parties are also reportedly interested in acquiring TikTok. Well-known companies and individuals have been exploring bids, but Zoop is positioning itself as a smaller group with a strong message — one that centers creators, not corporations.

“We’re a small team going up against massive companies,” Phillips added. “But we believe the system needs to change. Social platforms work because of creators and users, and it's time they share in the success.”

Whether or not Zoop’s offer is accepted remains to be seen, but their entry into the race signals growing demand for a platform that treats creators not just as contributors, but as stakeholders. With the deadline looming, all eyes are on what happens next — and who will be in charge of TikTok's future in the U.S.

Also Read: TikTok Ownership Deal on Track, VP JD Vance Confirms as Deadline Nears

The push for new ownership comes amid concerns over TikTok’s ties to its China-based parent company, ByteDance. Lawmakers argue that shifting control to a U.S. company would help protect user data and address national security risks. Several American investors are reportedly in the running to acquire TikTok, though no final agreement has been announced.

If a deal isn’t reached by the deadline, TikTok could face stricter regulations or even a ban in the U.S., affecting millions of users and businesses that rely on the platform. As discussions continue, the next few days will be crucial in determining TikTok’s future in the country.

Also Read: Trump's TikTok Deal Faces Legal Challenges as April 5 Deadline Approaches

The funding pushes OpenAI’s valuation to $300 billion, nearly doubling its worth from the previous $157 billion valuation in October. This puts the company in the ranks of some of the most valuable private firms globally, competing with giants like SpaceX and ByteDance (the parent company of TikTok).

Of the $40 billion raised, SoftBank plans to invest $30 billion, while other investors including Microsoft, Coatue, Altimeter, and Thrive will contribute the remaining amount. However, SoftBank’s investment could drop to $20 billion if OpenAI doesn’t restructure its operations as planned by the end of this year.

Money to Fuel AI Research and Push for AGI

OpenAI has stated that the funds will be used to continue pushing the boundaries of AI research, with a focus on advancing toward Artificial General Intelligence (AGI) that can benefit humanity. The goal is to make significant strides in AI development, ensuring it’s used for good.

New Cheaper AI Model to Compete with Rivals

In another announcement, OpenAI revealed plans to release a more affordable and accessible AI model in the near future. CEO Sam Altman explained that although this idea had been in the works for some time, other priorities had delayed its launch. However, with rising competition from China’s DeepSeek and Meta’s Llama, OpenAI feels now is the right time.

This new model will be open-weight, allowing developers to customize it for their own use. It will differ from the current subscription-based model of ChatGPT, making it easier for developers to use and build on.

A Step Toward Open-Source AI

Although the new model won’t be fully open-source, it is a step closer to making AI more open and accessible. Some critics, however, are concerned that such open-weight models could be misused. Elon Musk, who was once an investor in OpenAI, has repeatedly urged the company to return to its open-source roots. Musk believes OpenAI should focus on safety and transparency in its approach to AI development.

Even with these concerns, OpenAI’s decision to release a more flexible AI model is seen as an effort to stay ahead of the competition. As AI technology continues to evolve, OpenAI remains at the forefront, using its new funding to pave the way for future innovations in the field.

Also Read: OpenAI Surpasses 400 Million Weekly Users in February 2025

Legal Questions and Presidential Authority

Under a law passed last year, TikTok must undergo a "qualified divestiture," ensuring ByteDance owns no more than a 20% stake. However, the law gives the president significant authority to determine if that requirement is met, providing Trump with flexibility as he negotiates a resolution before the app faces a potential ban on April 5.

Legal scholars argue that the broad presidential discretion within the law makes it difficult for courts to overturn Trump's decision. "The success of legal challenges is unlikely due to standing issues," said Professor Nikolas Guggenberger from the University of Houston Law Center. The Supreme Court's previous decision upholding the law also adds weight to the administration's actions.

National Security Concerns and The Proposed Deal

Reports suggest that US-based investors in ByteDance may increase their stakes to acquire TikTok’s American operations. This restructuring could reduce Chinese ownership below the 20% limit. However, the deal’s effectiveness in protecting user data remains a point of contention.

A central aspect of the proposal involves Oracle, a major US technology firm, managing and safeguarding TikTok's data to prevent access by the Chinese government. Despite these assurances, lawmakers like Representative John Moolenaar insist that any agreement must fully eliminate Chinese influence. The Chinese Communist Party’s legal authority over ByteDance has heightened fears about potential misuse of American data.

US intelligence agencies have also warned that the app’s algorithm, which curates content for users, could be manipulated for influence operations. Critics argue that this leaves a window for foreign interference and data espionage, making full divestiture a preferable solution.

Challenges From Competitors

While public concern over privacy issues remains high, legal experts suggest that TikTok’s rivals, particularly Meta, may be the most viable challengers to the deal. Meta CEO Mark Zuckerberg could argue that allowing TikTok to remain operational under a compromised deal gives the platform an unfair advantage. However, establishing harm in court would be difficult.

Professor Alan Rozenshtein from the University of Minnesota Law School stated, "It's challenging for competitors to prove that TikTok's presence actively harms their business in a way that courts would recognize."

Trump's Influence and Congressional Support

The situation also underscores Trump's considerable influence over Congress. With a Republican-controlled House and Senate, any legislative attempt to modify or overturn the law would face significant resistance. Trump's executive order, which delayed the enforcement of TikTok’s ban for 75 days, further reflects his control over the timeline of the deal. The president has hinted at extending the deadline if negotiations are still ongoing by April 5.

"Given Trump’s sway over Congress, any attempt to challenge his decisions through legislative means seems improbable," Guggenberger added.

Uncertainty Surrounds TikTok as Trump's Decision Nears

With the April 5 deadline fast approaching, all eyes are on whether the TikTok deal will pass scrutiny. While President Trump and his administration push for a resolution, concerns remain over whether the agreement will truly eliminate Chinese influence.

Lawmakers and national security experts are prepared to monitor the deal's implementation, assessing whether ByteDance’s reduced stake effectively shields American user data from foreign interference. Failure to meet these expectations could spark additional congressional action or legal challenges.

For millions of US TikTok users, the uncertainty adds to growing anxiety. Content creators, businesses relying on the platform for marketing, and advertisers are bracing for potential disruption. The outcome will not only influence TikTok’s operations but could also set a precedent for future regulation of foreign-owned technology platforms.

In the tech sector, rivals like Meta and YouTube are watching closely. A failure to enforce the divestiture could reignite criticism of unfair competition, while a strict enforcement could create new opportunities for domestic platforms to regain market share. Ultimately, the political, legal, and economic ramifications of Trump's TikTok decision will reverberate far beyond the app itself.

Also Read: Will Oracle Save TikTok? ByteDance Races to Beat U.S. Ban Deadline

PMI has set a goal of capturing 10% of the U.S. tobacco and heated tobacco product volume by 2030. Following a successful pilot program, IQOS is now available to adult smokers in Austin. To promote the device, PMI will host demonstrations and guided trials at the Austin MotoGP Red Bull Grand Prix of the Americas.

Consumers can access IQOS through select mobile locations and designated "IQOS coaches." Online sales will begin later in April. However, the company has not disclosed pricing details yet.

While PMI had initially announced plans to launch IQOS in four cities across two states, Austin is the first confirmed location. The company is offering an older version of the device while awaiting approval for its latest model, ILUMA, from the U.S. Food and Drug Administration (FDA).

The FDA has already authorized the sale of the older device, allowing PMI to market it as a reduced-exposure product compared to cigarettes. However, the company's applications have faced opposition from public health advocates, who accuse PMI of violating prior FDA regulations. PMI denies these claims and maintains compliance with regulatory requirements.

Also Read: Amazon’s New AI Tools Make Shopping and Health Advice Easier Than Ever!

The Interests tool allows users to describe what they’re looking for using natural language, like asking for “kitchen gadgets for coffee lovers” or “home workout essentials.” The AI then sifts through thousands of products to suggest personalized options, making the search process effortless. Currently available to select U.S. customers, Amazon plans to expand the feature soon, providing even more users with a tailored shopping experience.

But that’s not all — reports reveal that Amazon is also testing Health AI, a chatbot designed to offer medical insights and product recommendations. Whether you’re dealing with a cold or curious about which vitamins suit your lifestyle, the chatbot could offer general care advice and suggest Amazon products to address your needs. While it’s no replacement for professional medical advice, it could serve as a quick, convenient resource for minor concerns. This move follows Amazon’s increasing presence in the healthcare industry, including its acquisition of One Medical and the launch of Amazon Pharmacy.

These AI advancements are not only about improving customer experience but also enhancing Amazon's competitive edge in the e-commerce and healthcare sectors. Leveraging massive datasets and large language models, Amazon’s AI ecosystem is designed to anticipate consumer needs, making interactions more intuitive and efficient. This strategy could cement Amazon’s position as a leader in both digital retail and healthcare services.

While Amazon hasn’t officially commented on the ongoing Health AI trials, industry analysts are watching closely. With AI becoming a significant driver of growth, these innovations could further strengthen Amazon’s market position. The company's stock has already seen a 14% increase over the past year, and successful AI rollouts could push it even higher.

For now, customers can look forward to a smarter shopping experience with Interests and possibly a helpful virtual health assistant soon. Whether you're searching for the perfect product or need quick health guidance, Amazon’s AI is set to make your life easier. Keep an eye out — the future of AI-powered convenience might already be in your hands.

Also Read: Google Wallet Rolls Out In-Store Payments for Kids in Select Countries

Leadership Changes at TikTok

Chandlee, who brought extensive experience from his previous role at Facebook, will transition into an advisory role. During his tenure at TikTok, he oversaw rapid growth in the company’s advertising arm, contributing to its position as a dominant player in the digital ad space. Under his leadership, TikTok achieved some of the fastest global ad sales growth, second only to its Chinese counterpart, Douyin.

To streamline operations, TikTok is merging its global business solutions team with its monetization product technology team. Will Liu, currently leading the monetization team, will assume leadership of the combined division starting April 1. The goal is to enhance innovation and operational efficiency, ensuring the platform remains competitive despite the uncertainty surrounding its future in the US.

TikTok’s Advertising Goals and Market Growth

TikTok remains determined to expand its advertising revenue. Chandlee indicated that the platform is targeting a 50% growth in ad sales in 2025. TikTok’s influence on younger audiences has made it an attractive option for advertisers seeking to reach Gen Z and Millennial consumers. Brands continue to prioritize TikTok for its high engagement rates and viral marketing potential.

The company has also introduced new tools to enhance the effectiveness of ad campaigns, including AI-powered insights and expanded e-commerce integrations. These innovations are expected to drive further revenue growth, reinforcing TikTok’s position as a leading platform for digital advertising.

Leadership Shakeup Raises Questions

Chandlee’s departure follows a series of high-profile executive exits, including TikTok’s music chief Ole Obermann and several senior leaders. Since the beginning of 2025, at least eight executives have stepped down, adding to the uncertainty surrounding the company's future. While TikTok has maintained that these departures are part of natural leadership transitions, they have raised concerns about stability as the platform navigates its regulatory challenges.

Political and Regulatory Pressure

TikTok is currently facing a strict April 5 deadline to arrange a sale of its US operations. President Donald Trump has temporarily delayed enforcing a ban, but the administration remains firm on requiring TikTok’s separation from its Chinese parent company, ByteDance, to address national security concerns.

Oracle Corp. has emerged as a key contender in discussions, proposing a plan to take a minority stake in a new US entity while ByteDance retains control of the algorithm. This arrangement aims to ensure the security of US user data while allowing TikTok to continue operating. However, it remains unclear whether this proposal will satisfy regulatory authorities.

Uncertainty Surrounds TikTok’s Future

The outcome of the sale will significantly impact TikTok’s trajectory in the US, one of its most lucrative markets. Industry experts suggest that while TikTok has built a strong advertising presence, ongoing uncertainty could affect partnerships and ad spending. Advertisers may grow cautious without clear assurances of the platform’s long-term availability.

Nevertheless, TikTok is pushing ahead with product innovation and international expansion. With a dedicated user base and continuous updates to its advertising capabilities, the platform is well-positioned to remain competitive, provided it successfully addresses regulatory challenges.

For now, all eyes are on the coming weeks as TikTok’s leadership works to finalize a deal and ensure the platform’s continued presence in the US market.

Also Read: Will Oracle Save TikTok? ByteDance Races to Beat U.S. Ban Deadline

Meta has been aggressively investing in artificial intelligence infrastructure to compete with leading tech firms like OpenAI, Google, and emerging players such as China's DeepSeek. CEO Mark Zuckerberg recently outlined plans to allocate up to $65 billion this year for AI-related projects, including data center expansions and workforce growth. Furthermore, Zuckerberg signaled that Meta could eventually spend hundreds of billions on AI infrastructure. The company has also been working on proprietary AI chips to enhance its platform’s ad recommendation and content ranking capabilities.

FuriosaAI has emerged as one of the notable AI semiconductor innovators in Asia, drawing interest from global technology companies. Founded eight years ago and led by CEO June Paik, a former executive at Samsung Electronics and Advanced Micro Devices, the company specializes in AI inferencing chips. Its latest product, the second-generation RNGD (pronounced "Renegade") processor, is designed to compete with products from Nvidia Corp. and other startups like Groq Inc., SambaNova Systems Inc., and Cerebras Systems Inc.

Choosing independence over acquisition, FuriosaAI plans to raise additional funds in a Series C extension round that is expected to surpass its initial target. The company is also considering an initial public offering (IPO) as part of its long-term growth strategy.

With approximately 150 employees, including a Silicon Valley presence, FuriosaAI has begun distributing chip samples to potential clients. Among its initial customers are LG AI Research, part of the LG Group, and Saudi Aramco. The company anticipates expanding its customer base, with a dozen firms currently testing its chips.

Manufactured using Taiwan Semiconductor Manufacturing Co.'s 5-nanometer process, the RNGD chip also utilizes HBM3 memory from SK Hynix Inc. With its continued focus on technological advancements, FuriosaAI remains committed to driving innovation and establishing a competitive presence in the global AI semiconductor market.

Also Read: DeepSeek Projects 545% AI Profit—Is It Realistic or Just Hype?

The U.S. government had previously demanded ByteDance sell TikTok's U.S. operations, citing fears over Chinese data access. On his first day back in office, President Trump paused the enforcement for 75 days, providing a temporary window for negotiations. Vice President JD Vance recently hinted that a deal could be reached soon.

Oracle Steps Into the Spotlight

Oracle, led by tech mogul Larry Ellison, has been closely involved with TikTok for years as its primary cloud provider. In 2022, TikTok rerouted its U.S. data through Oracle servers under a project called "Project Texas" to address security concerns. Now, Oracle is being considered for an even bigger role — protecting U.S. user data while potentially gaining a stake in TikTok.

ByteDance, however, wants to keep control of TikTok’s proprietary algorithm, which powers the app’s content recommendations. Reports suggest that Oracle's role would focus on data protection while ByteDance retains its technological crown jewel.

Investors Eye a Restructure

A potential solution on the table involves ByteDance’s current U.S. investors increasing their stakes in TikTok to reduce Chinese ownership below 20%. Firms like Susquehanna International Group and General Atlantic are reportedly interested in stepping up, which could help TikTok comply with U.S. regulations.

Under this structure, Oracle would manage sensitive data, ensuring it remains secure and inaccessible to foreign entities. This setup could satisfy U.S. security concerns while allowing TikTok to continue operating.

National Security Concerns Take Center Stage

For years, U.S. officials have voiced concerns that the Chinese government could force ByteDance to hand over TikTok user data. Chinese law mandates that companies comply with government requests for information, raising red flags for American regulators.

In response, Congress passed a law requiring ByteDance to divest TikTok or face a ban. Although the Supreme Court upheld the ruling, Trump’s executive order temporarily halted the ban, allowing ongoing negotiations to continue.

What Could Happen Next for TikTok

President Trump has suggested he might extend the 75-day pause if progress is evident. However, a permanent reversal of the ban would require congressional approval.

While Trump previously denied any involvement in TikTok's fate, he recently expressed support for Oracle's role. During a press conference with Larry Ellison, Trump floated the idea of Oracle acquiring TikTok, even suggesting a profit-sharing agreement with the U.S. government.

With the deadline just weeks away, Oracle, ByteDance, and U.S. regulators are working toward a resolution. Whether a deal can be struck in time will determine if TikTok remains available to its millions of American users.

Also Read: Trump Says TikTok Might Be Sold Soon—Four Buyers Interested

How It Works

With parental approval, kids can add a debit or credit card to their Google Wallet for in-store payments. Parents will receive email notifications for every transaction their child makes, ensuring they stay informed about their spending.

In addition, Google’s Family Link app offers further oversight. Through Family Link, parents can:

• Track their child's recent purchases

• Remove payment cards when needed

• Disable Google Wallet access

What Kids Can and Can't Do

• Can Do: Kids can use Google Wallet for contactless payments in physical stores. They can also store digital passes like library cards, gift cards, and event tickets.

• Can't Do: Online purchases are not allowed through Google Wallet, keeping digital spending secure.

Simple Setup for Families

Setting up Google Wallet for a child is straightforward. Here’s how parents can get started:

1. Open the Wallet App: On the child's Android phone, launch the Google Wallet app.

2. Add a Payment Card: Tap on "Add to Wallet" and select "Payment Card."

3. Confirm Parental Approval: Parents will need to sign in with their Google Account to verify their identity.

4. Add a Card: After verification, parents can add a card for in-store payments.

Competing with Apple Pay

This new addition brings Google Wallet in line with Apple, which already provides a similar service through Apple Cash Family. With Google Wallet, families now have an alternative for supervised spending, making it easier to manage allowances and teach kids financial responsibility.

Future Expansion

While the feature is currently limited to five countries, Google has not yet announced when or if it will expand to other regions. Parents interested in staying updated can check Google’s official announcements for future updates.

This move by Google offers a convenient, secure, and educational way for children to gain financial independence while parents retain peace of mind. Families can now navigate the world of digital payments together, with transparency and safety at the forefront.

Also Read: Adobe Launches AI Agents to Enhance Online Marketing and Personalization

While Adobe is often associated with creative applications like Photoshop, its business solutions are also a major force in the digital marketing space. In fact, these tools contributed to a quarter of Adobe's $21.5 billion revenue in the past fiscal year. By incorporating AI agents into its suite of offerings, Adobe aims to help companies deliver more effective and personalized marketing strategies.

Personalized Customer Journeys

The AI agents work by analyzing a user's online behavior to offer customized content. For example, if a user clicks on a TikTok ad and lands on a brand's website, the AI agent might recommend trendy products or promotions popular with younger audiences. On the other hand, a user arriving through a search engine might see content aligned with their specific query.

This personalized approach ensures that businesses are not just showcasing generic content but are providing relevant and engaging experiences. Amit Ahuja, Senior Vice President of Adobe's Experience Cloud unit, emphasized that consumers now expect conversational and interactive website experiences similar to AI-powered chatbots like ChatGPT. Adobe's AI agents fulfill this expectation by offering intelligent, context-aware assistance.

Smarter Recommendations and Support

Imagine planning a vacation and landing on a travel booking site after clicking on an Instagram ad. With Adobe's AI agents, the website chatbot can instantly understand the type of destination you were interested in from the ad and suggest related vacation packages. It can also check availability and offer booking assistance in real time, streamlining the entire experience.

This level of contextual awareness allows brands to cater to their customers more efficiently, providing meaningful recommendations without users needing to repeat their preferences.

Simplifying Marketing Management

Adobe has also introduced AI-powered tools for marketing professionals that go beyond customer interaction. Marketers can now outline goals for increasing digital sales, and the AI agents will suggest practical strategies to achieve these objectives. Whether it’s optimizing landing pages, adjusting call-to-action placements, or refining promotional banners, the AI agents can implement the changes directly.

According to Ahuja, what once took months to coordinate with development teams can now be accomplished in a fraction of the time. This means businesses can rapidly adapt to market trends and consumer behavior without waiting for technical support.

Empowering Businesses of All Sizes

From small e-commerce shops to large enterprises, Adobe’s AI agents are designed to cater to businesses of all scales. The tools are not just about automation but about enhancing human decision-making with AI-powered insights. Companies can analyze data more effectively, refine their marketing strategies, and create user experiences that foster long-term customer relationships.

With these advancements, Adobe is not only pushing the boundaries of what AI can achieve but also helping brands stay competitive in an increasingly digital world. As businesses continue to embrace AI-driven solutions, customers can look forward to more intuitive and personalized online experiences.

Also Read: Adobe Launches AI Video Tool Firefly, Competing with OpenAI and Meta

Same Stylish and Lightweight Design, Now Even More Practical

Apple hasn’t changed the MacBook Air’s thin and lightweight design, which remains one of its biggest selling points. The aluminum body makes it durable yet ultra-portable, ideal for frequent travelers, students, and professionals who need a reliable device on the go.

The keyboard offers a comfortable typing experience, while the large and highly responsive trackpad makes navigation smooth and effortless. Both the 13-inch and 15-inch models feature Apple’s Liquid Retina display, which delivers sharp visuals, vibrant colors, and deep contrast—perfect for streaming, photo editing, and work tasks.

Another practical upgrade is the inclusion of Apple’s Center Stage webcam, which automatically adjusts to keep you in the frame during video calls. Whether you're on Zoom meetings or FaceTime calls, this feature makes remote communication feel more natural and engaging.

Also Read: Apple Launches Most Powerful Mac Studio Yet with M3 Ultra & M4 Max

M4 Chip Brings a Major Performance Boost

The biggest upgrade in the new MacBook Air is Apple’s M4 processor, designed for faster performance and greater efficiency. Apple claims that it offers twice the speed of the M1-powered Air and up to 32 times the performance of older Intel-based models.

While everyday users may not notice drastic differences compared to the M2 model, power users will appreciate the enhanced speed in multitasking, video editing, and AI-driven applications. The inclusion of 16GB of RAM as standard ensures a smoother experience when running multiple applications or working on intensive tasks like 4K video editing and software development.

This extra memory is also a future-proofing move by Apple, especially with the rise of AI-powered software and machine learning applications that require more RAM to function efficiently.

Extended Battery Life for All-Day Productivity

One of the biggest advantages of MacBooks with Apple silicon has been their impressive battery life, and the M4 MacBook Air continues that trend. Users can expect up to 18 hours of battery life on a single charge, making it one of the longest-lasting laptops on the market.

Even when connected to external monitors or running demanding applications, the battery holds up well, reducing the need for frequent charging. This is a game-changer for professionals who work remotely or travel frequently.

Limited Port Selection But Workable Solution

The MacBook Air maintains a minimalistic approach to ports, featuring only two USB-C/Thunderbolt 4 ports on the left side, along with a MagSafe charging port. While this might be a minor inconvenience for some users, it’s easily resolved with a USB-C hub or adapter.

Additionally, the support for two external monitors is a welcomed improvement for those who require a multi-screen workspace.

A Better MacBook Air at a More Affordable Price

The M4-powered MacBook Air offers exceptional value by combining cutting-edge performance, a sleek design, and a lower price. If you’re upgrading from an Intel MacBook or an older Air, this model offers a significant boost in speed, efficiency, and battery life.

For Windows users considering a switch, the MacBook Air’s user-friendly macOS ecosystem, long battery life, and premium build quality make it a compelling option. With a starting price of $999, it’s one of the best premium laptops you can buy today.

MacBook Air M2, M3, and M4 Side-by-Side Comparison: Specs, Features & Prices

This move is part of Saudi Arabia’s broader strategy to expand its influence in the gaming industry. Scopely was itself acquired in 2023 for $4.9 billion by Savvy Games Group, a subsidiary of PIF, which has allocated $38 billion to transform the kingdom into a global gaming hub. The purchase of Niantic’s gaming division further solidifies Saudi Arabia’s push into interactive entertainment.

Niantic, originally a part of Google, became independent in 2015 under the leadership of founder John Hanke, who had previously worked on satellite mapping and Google’s Geo products. The company revolutionized mobile gaming by integrating augmented reality with real-world exploration, leading to the massive success of Pokémon Go in 2016. Despite being on the market for years, the game remains highly profitable, generating over $1 billion in revenue last year with 30 million monthly active players, according to Scopely.

With this acquisition, questions arise about the future direction of Pokémon Go and Niantic’s other AR games. While Scopely has experience in mobile gaming, it remains to be seen whether the company will make significant changes to the titles or maintain their current development path. For Niantic, this deal marks a shift in focus, as the company has struggled to replicate the success of Pokémon Go and has been pivoting toward augmented reality and artificial intelligence-driven projects beyond gaming.

As Saudi Arabia continues its rapid expansion in the gaming industry, the acquisition of Niantic’s gaming division is a significant step in its mission to become a major force in interactive entertainment. The impact of this deal will unfold in the coming years, especially for players and fans of Pokémon Go worldwide.

Also Read: Niantic in Talks to Sell Pokémon Go Business to Saudi-Owned Scopely for $3.5 Billion

The National Publishing Union (SNE), the National Union of Authors and Composers (SNAC), and the Society of Men of Letters (SGDL) announced that they submitted the complaint earlier this week in a Paris court. They claim that Meta, which owns Facebook, Instagram, and WhatsApp, has been utilizing copyrighted works without authorization to refine its AI technology.

"This is an unprecedented level of exploitation of creative content," said Maia Bensimon, general delegate of SNAC.

SNE Director General Renaud Lefebvre described the lawsuit as a classic "David versus Goliath" scenario, stressing that the case could set a significant legal precedent.

While this marks the first legal challenge against an AI company in France, similar lawsuits have been surfacing worldwide. In the United States, authors, visual artists, and music publishers have filed complaints against Meta and other AI developers, arguing that their copyrighted works were harvested without consent.

Among these cases, actress and author Sarah Silverman sued Meta in 2023, alleging that her books were improperly used to train AI models. Similarly, in October 2024, novelist Christopher Farnsworth initiated a lawsuit with similar claims.

Meta is not the only company facing scrutiny. OpenAI, the firm behind ChatGPT, is currently dealing with multiple lawsuits in the U.S., Canada, and India over allegations of unauthorized use of copyrighted material in AI training.

Also Read: Meta Fined €251M for 2018 Facebook Data Breach Exposing Millions of Users

Speaking to reporters on Sunday, Trump said multiple buyers are in the running but didn’t mention any names or hint at a favorite. “We’re dealing with four different groups, and a lot of people want it,” he said, adding that all four are solid options.

TikTok Faces an April Deadline

TikTok, owned by China-based ByteDance, has until April 5 to strike a deal or risk being banned in the U.S. under a law passed during the Biden administration. With millions of American users, the app was valued at around $50 billion last year, making it one of the most valuable digital platforms in the world.

While time is running out, Trump has said he might consider extending the deadline again if needed. However, he believes a deal could come together in the next month. In the past, he’s also suggested that the U.S. government should get a 50% cut from the deal as part of the arrangement.

Will ByteDance Sell?

Even though there are active discussions, ByteDance hasn’t shown any clear signs that it’s willing to sell TikTok’s U.S. branch. The company’s CEO, Shou Chew, met with Trump at Mar-a-Lago in December and also attended this year’s presidential inauguration. Meanwhile, ByteDance has been working behind the scenes to ease security concerns from U.S. lawmakers, hoping to avoid being forced out of the country.

ByteDance is currently valued at over $400 billion and has been buying back employee shares at a $312 billion valuation, showing confidence in its future growth. The company is also expanding its e-commerce business, using TikTok’s popularity to push online shopping.

However, even if a deal is reached, China’s government would have to sign off on it—and so far, they’ve been resistant. There were reports that Elon Musk’s name was floated as a potential buyer, but he has publicly said he’s not interested.

Who’s Trying to Buy TikTok?

Several well-known names have shown interest in taking over TikTok’s U.S. operations. Billionaire Frank McCourt, Reddit co-founder Alexis Ohanian, and tech entrepreneur Jesse Tinsley—along with YouTube star MrBeast—are all part of different bidding groups. Another bid has come from Perplexity AI. Trump has also mentioned Oracle founder Larry Ellison as a potential player, since Oracle already helps TikTok store U.S. user data.

With the deadline fast approaching, it’s still unclear what will happen. Either TikTok finds a buyer and continues operating in the U.S., or it faces a potential ban. The next few weeks will be crucial in deciding the app’s future.

Also Read: TikTok Returns to U.S. App Stores—But Is It Here to Stay?

By integrating artificial intelligence into its platform, Validation Cloud offers a more efficient and scalable way for users to participate in blockchain staking. Unlike traditional staking services, which often require complex manual processes, the company’s AI technology automates and optimizes the staking experience, making it easier for both individuals and institutions to earn rewards.

????We're thrilled to announce our $15M Series A to bring Data x AI to Web3.

This round supports Validation Cloud's mission to expand the GDP of Web3 & redefine how organizations harness blockchain intelligence.

???? @fortunecrypto @FortuneMagazine: https://t.co/yFU09MZf52

— Validation Cloud (@ValidationCloud) March 6, 2025

Validation Cloud generates revenue in two ways: by taking a small commission on staking rewards earned by customers and through subscription fees for its software platform. While CEO Alex Nwaka didn’t disclose exact revenue figures, he shared that the company currently manages over $1.5 billion in staked assets, highlighting its growing influence in the crypto ecosystem.

In a competitive industry with players like Blockdaemon and Ankr, Validation Cloud differentiates itself by leveraging AI to analyze blockchain data and improve staking efficiency. According to Nwaka, this technological edge allows the company to offer faster, more reliable, and more profitable staking services for its users.

The newly secured funding will support the expansion of Validation Cloud’s product engineering and go-to-market teams, helping the company scale its services and reach new markets. With global adoption of blockchain technology on the rise, the company aims to position itself at the forefront of AI-driven staking solutions, providing a smarter and more accessible way for users to participate in the growing crypto economy.

Also Read: DeepSeek Projects 545% AI Profit—Is It Realistic or Just Hype?

From committing billions to U.S. manufacturing to rolling back diversity programs and making key leadership changes, Silicon Valley is taking a different path than in Trump’s first term.

Apple and TSMC Expand U.S. Investments

Apple is reinforcing its commitment to domestic manufacturing with a $500 billion investment in U.S. projects that include:

• Sourcing AI hardware from Texas-based factories for its Apple Intelligence platform.

• Increasing Apple TV+ production to bring more entertainment jobs to the U.S.

• Doubling its Advanced Manufacturing Fund from $5 billion to $10 billion to support American suppliers.

Apple’s CEO, Tim Cook, successfully built a working relationship with Trump during his first term, securing exemptions from tariffs on Chinese imports. By continuing this approach, Apple is ensuring it remains in a strong position while maintaining its global operations.

Meanwhile, TSMC is committing $100 billion to new semiconductor plants in Arizona. This aligns with Trump’s push for domestic chip production, which could help the company secure government support and future contracts.

Google Adjusts Policies to Align with Trump’s Priorities

Google, which had tensions with Trump in the past, is making clear changes to avoid becoming a target. The company has:

• Renamed the Gulf of Mexico to "Gulf of America" on Google Maps, a decision that reflects a nationalistic approach in line with Trump’s views.

• Reduced its diversity, equity, and inclusion (DEI) programs, following Trump’s executive order limiting such initiatives.

• Modified its AI policy, removing a restriction that previously prevented Google from working on AI applications for military use.

These adjustments indicate that Google is focused on maintaining a neutral stance and ensuring it stays on the administration’s good side while continuing its expansion in AI and cloud computing.

Meta Brings in Trump Allies and Changes Course

Mark Zuckerberg is also taking steps to improve Meta’s relationship with Trump, making key decisions that include:

• Appointing UFC CEO and Trump supporter Dana White to Meta’s board, strengthening ties with influential figures close to Trump.

• Ending Meta’s fact-checking program, replacing it with a more open Community Notes system similar to X (formerly Twitter).

• Scaling back moderation policies on immigration and gender topics, aligning more with Trump’s campaign positions.

• Moving parts of Meta’s trust and safety team from California to Texas, addressing concerns about potential bias in content moderation.

Zuckerberg had a challenging relationship with Trump during his first term, but these steps suggest he is working to avoid further conflicts and reduce government scrutiny of Meta’s business practices.

Amazon and Jeff Bezos Take a Different Approach

Unlike Apple and Meta, Amazon’s Jeff Bezos is working behind the scenes to navigate Trump’s return.

• The Washington Post, which Bezos owns, has noticeably shifted its editorial stance, avoiding an endorsement of Kamala Harris and focusing more on free markets and personal liberties.

• Amazon’s cloud division (AWS) remains a key government contractor, making it important for the company to maintain a neutral stance with the administration.

• Bezos’ space company, Blue Origin, is competing for government space contracts, and a positive relationship with Trump could help secure funding.

While Amazon faced criticism from Trump in the past, Bezos seems to be taking a quieter, strategic approach this time around.

Microsoft and Nvidia Engage with the Administration

Microsoft and Nvidia are also working to stay in good standing with Trump’s White House, though with less public attention than some of their peers.

• Microsoft CEO Satya Nadella met with Trump in January to discuss the company’s AI investments and expansion in cloud computing.

• Microsoft President Brad Smith has been lobbying for changes to export rules, which would allow U.S. tech firms to expand data centers in countries like Poland, Israel, and Saudi Arabia.

• Nvidia CEO Jensen Huang met with Trump to discuss semiconductor policies, including concerns over new export restrictions and the proposed 25% tariff on chips.

These efforts show that both companies are being proactive in working with the administration while continuing their global expansion.

Will These Efforts Protect Big Tech from Regulatory Challenges?

Big Tech companies are making calculated decisions to stay on the administration’s good side, but there are still risks ahead:

• Regulatory scrutiny remains high, especially with Trump’s continued focus on antitrust enforcement.

• Trade policies could impact business operations, particularly for companies like Nvidia and TSMC that depend on global supply chains.

• Public reaction could be a factor, as shifts in policy might lead to backlash from employees and customers.

A Washington policy analyst summed it up:
"In D.C., you’re either at the table or on the menu. Tech companies are making sure they have a seat at the table."

The next four years will determine whether these strategies help the industry avoid government conflicts or if new challenges emerge along the way.

Also Read: DeepSeek Projects 545% AI Profit—Is It Realistic or Just Hype?

Designed for 3D artists, AI developers, researchers, and musicians, the Mac Studio isn’t aimed at mass-market consumers like the MacBook Air or MacBook Pro. Instead, it’s built for professionals who need extreme computing power.

Mac Studio Pricing and Performance

Set for release on March 12, the Mac Studio with Apple’s M4 Max starts at $1,999, while the M3 Ultra-powered model comes in at $3,999. While the naming might be a bit confusing, the M3 Ultra is actually the more powerful chip, combining two M3 Max chips into a single package with a staggering 184 billion transistors.

The M3 Ultra features a 32-core CPU, an 80-core GPU, and a 32-core Neural Engine optimized for AI applications. It starts with 96GB of unified memory, with an option to upgrade to an unprecedented 512GB, alongside storage configurations reaching up to 16TB. To put that in perspective, 1TB equals 1,000GB. In a live demonstration, an M3 Ultra-equipped Mac Studio effortlessly handled a 3D development tool running alongside a 470-billion-parameter large language model (LLM), dynamically generating 1,000 assets in a 3D scene—all while playing the graphically intense game “Cyberpunk 2077” in the background. Despite the heavy workload, there was no slowdown, and the system’s cooling fans remained whisper-quiet.

M3 Ultra vs. M4 Max

The M3 Ultra delivers twice the performance of the M4 Max, but that doesn’t mean the M4 Max lacks power. It boasts a 16-core CPU, a 40-core GPU, and 36GB of memory, which can be upgraded to 128GB. Compared to its predecessor, the Mac Studio with the M1 Max, the M4 Max model is 3.5 times faster. In a separate demonstration, the M4 Max-based Mac Studio handled complex video effects rendering with ease, showcasing its efficiency and speed.

AI-Powered Mac Studio and Additional Features

Like Apple’s latest MacBook Air, which debuted alongside it, the Mac Studio is equipped with Apple Intelligence, the company’s proprietary generative AI platform. It includes advanced text summarization and editing tools, along with AI-driven photo editing features, enhancing user productivity.

One key consideration for buyers: the Mac Studio is a standalone desktop rather than an all-in-one system like Apple’s iMac, meaning users will need to purchase a separate monitor.

Will the Mac Studio Boost Apple’s Sales?

Despite its incredible power, the Mac Studio is unlikely to drive significant revenue growth for Apple’s Mac division, as most consumers prefer lightweight laptops over desktops. However, it is expected to strengthen Apple’s Mac lineup, which outperformed iPhone, iPad, and Wearables in year-over-year growth in 2024. While the Mac Studio may not be a mainstream hit, it solidifies Apple’s dominance in the high-performance computing space for professionals and creatives.

Also Read: Apple Launches iPad Air with M3 Chip, Upgrades Entry-Level iPad

However, DeepSeek acknowledges that a large portion of its AI services remain free, meaning these numbers are purely theoretical. While the company has started monetizing some of its products, it has not yet achieved full adoption of paid plans—something no AI company has been able to do at scale.

???? Day 6 of #OpenSourceWeek: One More Thing – DeepSeek-V3/R1 Inference System Overview

Optimized throughput and latency via:
???? Cross-node EP-powered batch scaling
???? Computation-communication overlap
⚖️ Load balancing

Statistics of DeepSeek's Online Service:
⚡ 73.7k/14.8k…

— DeepSeek (@deepseek_ai) March 1, 2025

DeepSeek’s Revenue Projections Depend on Unrealistic Assumptions

While DeepSeek’s potential profitability looks impressive on paper, it depends on every free user converting to a paid plan, which is a highly unlikely scenario. AI companies worldwide, including OpenAI and Google DeepMind, have struggled to move free-tier users onto premium subscriptions. The AI industry has yet to find a fully sustainable monetization strategy, as most users prefer free access over paid plans.

Another challenge is DeepSeek’s tiered pricing model, which includes lower-cost plans for its V3 model. Since V3 is priced significantly lower than R1, the company’s actual revenue would likely be lower than the theoretical projection based only on R1 pricing. These pricing inconsistencies cast doubt on whether DeepSeek can ever achieve its estimated profit margins.

DeepSeek’s Discounted Pricing Reduces Real Profits

DeepSeek has designed its operations to cut costs through dynamic pricing and off-peak resource allocation. During peak hours, its Nvidia H800 chips handle inference tasks—where AI models generate responses. However, during lower-demand nighttime hours, DeepSeek shifts its hardware to focus on research and training, allowing for cost savings.

To attract developers, DeepSeek applies automatic nighttime discounts, reducing the cost for users who run AI workloads during off-peak hours. While this strategy helps balance computing power and reduce waste, it also lowers actual revenue compared to what could be earned under standard pricing. The company's financial model relies on maximizing peak-hour revenue, but with automatic discounts and variable pricing, achieving a consistent 545% profit margin remains unlikely.

DeepSeek’s Low-Cost AI Model Shocked the Tech Industry

DeepSeek recently disrupted the AI market with claims that it trained its AI model using less than $6 million in Nvidia chips. This number is far below the billion-dollar training budgets of competitors like OpenAI, Microsoft, and Google, which have spent vast sums building their AI infrastructure.

The announcement triggered a sell-off in tech stocks, as investors worried that if DeepSeek could develop powerful AI at a fraction of the cost, then companies investing billions into AI infrastructure might be overpaying. This raised questions about whether major AI players have been inefficient in their spending or if DeepSeek has found a way to optimize costs better than the rest of the industry.

Experts Challenge DeepSeek’s Cost Efficiency Claims

Despite DeepSeek’s bold claims, industry experts and competitors are skeptical of its financial model and cost efficiency. Google DeepMind CEO Demis Hassabis called the hype surrounding DeepSeek “exaggerated”, arguing that its $5.6 million training cost likely accounts only for the final phase of model training and ignores broader development, infrastructure, and data acquisition expenses.

AI training is a multi-stage process that requires years of investment in research, computing power, and human expertise. Many researchers believe that DeepSeek's cost claims omit significant hidden expenses, making its model seem more efficient than it actually is.

DeepSeek Faces Challenges in Turning Free Users Into Paying Customers

While DeepSeek’s projections provide a rare look into AI economics, its biggest challenge remains turning free users into paying customers. AI companies have struggled to balance affordable pricing with the high operational costs of running advanced AI models.

DeepSeek must also compete with established AI giants like OpenAI, Microsoft, and Google, which have brand recognition, larger infrastructure, and diverse monetization strategies. If DeepSeek cannot successfully convert free users into paying customers at scale, its financial model may prove unsustainable.

For now, DeepSeek’s claims have certainly shaken up the AI industry, but whether it can live up to its financial projections remains to be seen.

Also Read: Tech Stocks Drop as Chinese AI Model DeepSeek Challenges U.S. Dominance

iPad Air Gets a Major Performance Boost with M3 Chip

The latest iPad Air keeps the same 11-inch and 13-inch display options but now comes with Apple’s M3 processor, making it 34% faster than the previous M1 version. This upgrade enhances gaming and graphics-intensive tasks, thanks to hardware-accelerated ray tracing, which provides better lighting effects.

Both models support Apple Pencil, offer up to 10 hours of battery life, and feature Center Stage, which keeps users in the frame during video calls. The pricing remains unchanged at $599 for the 11-inch model and $799 for the 13-inch version.

New Magic Keyboard Adds More Functionality

Apple is also introducing an updated Magic Keyboard for the iPad Air, now featuring a 14-key function row for easier access to shortcuts. The keyboard is priced at $269 for the 11-inch version and $319 for the 13-inch model.

Entry-Level iPad Gets More Storage and a Performance Upgrade

Apple’s standard iPad is also receiving an update, with twice the starting storage—jumping from 64GB to 128GB. It now runs on the A16 chip, which delivers 30% faster performance than its predecessor.

However, unlike the iPad Air, the entry-level iPad does not support Apple Intelligence, the company’s new AI-powered features. That’s because the A16 chip lacks the processing power required for AI-driven tasks. Despite that, the device still includes the Center Stage front camera and a 12MP rear camera, making it a solid choice for everyday use.

iPad Sales Declined in 2024, But Apple Sees Signs of Recovery

Apple’s iPad revenue dropped 6% in 2024, falling from $28.3 billion in 2023 to $26.6 billion. However, in Q1 2025, sales rebounded to $8.1 billion, up from $7 billion in the same period last year. The new iPad models could help Apple regain momentum, especially as iPhone sales have remained flat year-over-year.

Availability and Release Date

Both the iPad Air and entry-level iPad are available for preorder now and will officially launch on March 12.

With these updates, Apple is focusing on better performance, increased storage, and AI-driven features, aiming to make its iPads more appealing to a wide range of users.

Also Read: Apple iPhone 16e Launched: Affordable Price, Powerful Features

The recall affects specific Volkswagen and Audi models and has been issued in compliance with the National Highway Traffic Safety Administration (NHTSA) safety standards.

Details of the Recall

According to the NHTSA, the recall impacts vehicles due to a failure in displaying the correct gear position, particularly the "N" (Neutral) gear. This problem could result in drivers being unaware of the actual gear the vehicle is in, increasing the risk of accidental movement.

The affected models include:

• 2021 to 2023 Volkswagen ID.4

• 2022 to 2023 Audi Q4 e-Tron

• 2022 to 2023 Audi Q4 e-Tron Sportback

The issue arises from non-compliance with Federal Motor Vehicle Safety Standard (FMVSS) number 102, which governs transmission shift lever sequences, starter interlock mechanisms, and braking effects. Failure to meet these requirements poses a safety hazard and necessitates immediate corrective action.

Potential Safety Risks and Recommendations for Owners

If the gear display malfunction occurs, drivers may not be able to confirm whether their vehicle is in "Neutral" or another gear. This could lead to the vehicle rolling unexpectedly if the parking brake is not engaged, increasing the risk of accidents, injuries, or property damage.

Volkswagen and Audi advise affected vehicle owners to:

• Always engage the parking brake before exiting the vehicle.

• Check that the parking brake indicator light is illuminated on the dashboard.

• Be extra cautious when parking on inclines or uneven surfaces.

How Volkswagen and Audi Plan to Fix the Issue

Volkswagen and Audi have announced that owners of the affected vehicles will be able to visit their dealerships for a free software update to correct the issue. This update will ensure that the gear display functions correctly and complies with all federal safety regulations.

Notification letters will be mailed to affected vehicle owners starting April 25, 2025. Once notified, owners should schedule an appointment with their local dealership to receive the repair

How to Check If Your Vehicle Is Affected

Owners can check if their vehicle is included in the recall by:

• Visiting the NHTSA website (nhtsa.gov) and entering their Vehicle Identification Number (VIN).

• Contacting their vehicle manufacturer’s customer service hotline.

Contact Information for Assistance

For further assistance or inquiries, vehicle owners can contact:

• Volkswagen Customer Service: 1-800-893-5298 (Recall number: 97H3)

• Audi Customer Service: 1-800-253-2834 (Recall number: 454R)

Owners should take action as soon as possible to keep their vehicles safe and in line with federal regulations.

Also Read: BMW Issues Global Recall for Mini Cooper SE Electric Vehicles

Starship moved to the pad at Starbase ahead of its eighth flight test pic.twitter.com/SSwftPg89d

— SpaceX (@SpaceX) March 2, 2025

Watch Falcon 9 launch 21 @Starlink satellites to orbit from Florida, including 13 with Direct to Cell capabilities https://t.co/QALo3LClCC

— SpaceX (@SpaceX) March 3, 2025

Falcon 9 Rocket Carries 21 Starlink V2 Satellites

The 230-foot-tall Falcon 9 rocket carried 21 advanced Starlink V2 satellites designed to enhance connectivity and network performance. These satellites will help improve broadband coverage, particularly in remote and underserved regions. The successful deployment of these satellites adds to SpaceX’s growing constellation, which has already placed over 4,000 satellites in orbit, with approximately 3,500 currently operational.

Booster Successfully Lands on Drone Ship

Following the launch, the Falcon 9 first-stage booster made a successful landing on SpaceX’s autonomous drone ship stationed in the Atlantic Ocean. This marks another milestone in SpaceX’s commitment to rocket reusability, further reducing launch costs. As of this mission, SpaceX has completed over 200 successful Falcon 9 landings, reinforcing its leadership in cost-effective spaceflight.

Impact on Starlink Internet Services

The addition of these new satellites is expected to improve Starlink’s internet service, offering faster speeds and more reliable coverage. Currently, Starlink provides broadband services to over 60 countries, with plans to expand further. Pricing for Starlink services varies by region, with plans starting at approximately $99 per month, though exact costs may differ depending on location and service level.

SpaceX’s Ambitious Launch Schedule

SpaceX continues to maintain an aggressive launch schedule, with multiple Starlink missions planned throughout 2025. The company aims to deploy thousands more satellites to enhance its global internet infrastructure. Future launches will focus on increasing network capacity, reducing latency, and expanding coverage to new regions.

The Future of Global Internet Connectivity

With each successful launch, SpaceX moves closer to its goal of providing high-speed internet access to underserved areas worldwide. The Starlink network plays a crucial role in bridging the digital divide, offering connectivity solutions for rural communities, disaster-stricken areas, and maritime and aviation industries. As the constellation grows, users can expect continued improvements in performance and availability.

The Starlink 12-20 mission marks another step forward in SpaceX’s ambitious vision for global internet connectivity, reinforcing its role as a leader in space-based communications technology.

Also Read: SpaceX Could Soon Be Worth $350 Billion with Insider Share Sale

The decision to shut down Skype comes as part of Microsoft’s strategy to streamline its services. Over the years, the company has shifted its focus to Teams, which offers advanced features such as messaging, video calls, file sharing, and workplace collaboration. Unlike Skype, which primarily served as a video-calling platform, Teams provides an all-in-one communication solution, making it the preferred choice for businesses and individuals alike.

Skype revolutionized online communication when it launched in 2003, making it easier and more affordable for people to connect across the globe. It introduced free internet-based voice and video calls, eliminating the need for expensive international phone charges. At its peak, Skype had over 170 million users worldwide and became synonymous with online video calling. However, as technology advanced and new competitors like Zoom, Slack, and Google Meet emerged, Skype struggled to keep up.

The COVID-19 pandemic further accelerated the adoption of workplace collaboration tools, and Microsoft Teams quickly gained traction as a more comprehensive platform. With its seamless integration into Microsoft 365 and business-oriented features, Teams became the company’s top priority, gradually overshadowing Skype. While Skype remained available, its role in digital communication continued to diminish as Microsoft focused its efforts on enhancing Teams.

For existing Skype users, the transition to Teams is expected to be smooth. Microsoft assures that users can access Teams with their Skype accounts, ensuring a hassle-free shift to the new platform. While Skype’s retirement may feel nostalgic for long-time users, its legacy in shaping modern communication is undeniable. The platform played a crucial role in making video calls accessible to millions, setting the foundation for today’s digital communication tools. As Microsoft moves forward, its focus is on providing a more integrated and feature-rich experience through Teams, aligning with the evolving needs of businesses and individuals.

Also Read: Apple Watch Changes NHL Forever—Real-Time Alerts Now on the Ice

One of the most important aspects of this system is its use of haptic feedback—vibrations on the wrist—to notify referees about key moments, allowing them to keep their eyes on the ice rather than checking the scoreboard. This eliminates the need for refs to look up and search for information during fast-moving plays, helping them make quicker and more accurate decisions. Each referee is issued an NHL-approved Apple Watch specifically for game use, stripped of unnecessary apps and notifications to ensure there are no distractions.

Apple’s partnership with the NHL is part of a larger trend of sports leagues incorporating advanced technology to enhance performance and decision-making. In recent years, Apple has worked with the NHL to provide iPads on team benches, allowing coaches and players to analyze plays and adjust their strategies mid-game. Major League Baseball also uses iPads in dugouts to provide real-time player stats, and the World Surf League equips surfers with Apple Watches for wave conditions and scoring updates.

Beyond helping athletes and referees, Apple’s involvement in sports also serves as a strategic business move. By placing its products in high-pressure, professional sports environments, Apple highlights the durability and reliability of its devices to a global audience. Fans watching NHL games can see firsthand how the Apple Watch is being used in real-time, reinforcing the product’s capabilities. The company has taken a similar approach in other sports, such as its partnership with Major League Soccer and Major League Baseball to stream games, as well as its sponsorship of the Super Bowl Halftime Show.

Apple isn’t alone in bringing technology into sports. Microsoft has been a key player, supplying NFL teams with Surface tablets for use on the sidelines. While these integrations help improve the game experience, they also fuel competition between tech giants looking to dominate the sports industry.

Apple’s partnership with the NHL isn’t just about introducing new tech—it’s about making officiating more efficient and keeping referees focused on the game. With tools like the Apple Watch providing real-time updates and alerts, officials can make quicker, more accurate decisions, showing how technology is becoming a bigger part of professional sports.

Also Read: Apple iPhone 16e Launched: Affordable Price, Powerful Features

That said, it does miss out on a few premium features, like multiple camera lenses and Apple’s Camera Control button. Still, for the price, the iPhone 16e is a fantastic option if you want a reliable smartphone without spending too much.

What You Get with the iPhone 16e

The iPhone 16e looks a lot like the iPhone 14, with a notch at the top of the screen for Face ID. Unlike the iPhone 16 and 16 Pro, which have the Dynamic Island for real-time notifications and updates, the 16e sticks to the traditional design. While Dynamic Island is a nice feature, it’s not something most people will miss.

One useful addition is the customizable Action button, which you can set up for different tasks like turning on the flashlight, opening the camera, or launching the translation app.

On the back, the iPhone 16e has a single 48-megapixel Fusion camera. The regular iPhone 16 has two cameras, including an ultrawide lens, and the 16 Pro adds a telephoto lens with 5x zoom. While the 16e lacks an ultrawide lens, it does offer a 2x optical zoom. The photos it takes are clear and sharp, though if you love taking wide-angle shots, you might prefer one of the higher-end models.

Apple’s First In-House Modem and Performance

A big change with the iPhone 16e is the introduction of Apple’s own C1 modem, replacing the Qualcomm chips used in previous models. This allows Apple to optimize its hardware and reduce reliance on external suppliers. In everyday use, browsing, social media, and video streaming feel smooth and responsive—no noticeable difference compared to previous iPhones.

One downside is that the iPhone 16e doesn’t support millimeter-wave 5G, but that won’t matter much to most users. Speed tests on the device showed downloads reaching up to 672 Mbps, which is even faster than a typical home internet connection.

Battery Life

Apple claims the iPhone 16e can last up to 26 hours of video playback. In everyday use, the battery holds up well—after an overnight charge, it still had 72% left by mid-afternoon, even with music streaming and web browsing throughout the day.

A Smart Pick for Budget-Conscious Buyers

If you want a reliable iPhone without spending a fortune, the iPhone 16e is a fantastic option. It may not have all the premium features of the iPhone 16 or 16 Pro, but it delivers solid performance at a more accessible price. Whether you're upgrading from an older device or just need a dependable phone for everyday use, the 16e is a smart and affordable choice. However, if you’re after advanced photography features or cutting-edge technology, you may want to consider one of Apple’s higher-end models.

Also Read: Apple Secures Deal to Resume iPhone Sales in Indonesia

The dispute began in October 2024 when Indonesia enforced its rule that smartphone companies must contribute to domestic production. Apple, which had already invested around $95 million in the country, fell short of meeting the required threshold. In response, the tech giant proposed a $1 billion investment, a move backed by President Prabowo Subianto. However, Indonesia’s Industry Ministry initially held out for stronger commitments before agreeing to lift the ban.

This deal represents a strategic win for Indonesia, as it successfully pushed Apple to expand its investment in the country rather than merely treating it as a sales market. The agreement not only strengthens Indonesia’s manufacturing sector but also positions the nation as an increasingly influential player in the global tech supply chain. For Apple, gaining access to Indonesia’s fast-growing consumer market is critical, particularly as sales slow in China. With a population of 278 million, more than half of whom are under 44 and highly engaged with digital technology, Indonesia offers significant long-term growth potential.

As part of the agreement, Apple will establish a production facility on Batam Island to manufacture AirTags, the company’s tracking device used for locating personal belongings. The plant will be operated by Luxshare Precision Industry Co., a key Apple supplier. This move not only aligns with Indonesia’s push for more localized production but also enhances Apple’s regional manufacturing footprint.