Latest AI News
Samsung Galaxy S26 is Gemini’s Biggest Showcase Yet
Samsung has put AI at the heart of its new Galaxy S26 line-up.
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Can You Chat With Me After I Die? Meta Thinks So
A Meta patent on posthumous management of users’ social media has raises legal and ethical concerns.
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Indian Army Selects CoRover to Build Sovereign AI Lab With BharatGPT
The lab will enable Army personnel to learn, build and deploy secure AI agents within a sovereign infrastructure framework.
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LTM, NVIDIA To Modernise India’s Tax Analytics Platform
The seven-year national mandate aims to strengthen tax administration through scalable AI and advanced analytics.
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The ePlane Company Expands to Industrial-Scale Aircraft Production at IIT Madras
The company’s new facility at IIT Madras will accelerate the development of electric air taxis while working with regulators to establish certification standards.
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Nvidia has another record quarter amid record capex spends
Chip giant and world’s most valuable company Nvidia reportedrecord profitsin its most recent quarter on Wednesday, as demand for AI compute continues to skyrocket. “The demand for tokens in the world has gone completely exponential,” CEO Jensen Huang said on a call with analysts following the results. “I think we’re all seeing that, to the point where even our six-year-old GPUs in the cloud are completely consumed and the pricing is going up.” The company reported $68 billion in revenue in the most recent quarter, up 73% from the prior year, with $62 billion of that revenue coming from the company’s data center business. Notably, Nvidia divided the data center revenue into $51 billion in compute revenue (largely GPUs) and $11 billion in networking products like NVLink. The company reported $215 billion in revenue for the full year. As in previous quarters, the company did not report any revenue from chip exports to China, despite the recent lifting of export restrictions by the U.S. government. “While small amounts of H200 products for China-based customers were approved by the U.S. government, they have yet to generate any revenue, and we do not know whether any imports will be allowed into China,” Colette Kress, the company’s chief financial officer, said. “Our competitors in China, bolstered by recent IPOs, are making progress,” she continued, in an apparent reference toMoore Threads’ IPO in December, “and have the potential to disrupt the structure of the global AI industry over the long term.” During the investor call, Huang also addressed the company’s pending investment in OpenAI, which has beenreported at $30 billion. “We continue to work with OpenAI toward a partnership agreement. We believe we are close,” Huang said. He also referenced partnerships with Anthropic, Meta, and Elon Musk’s xAI. However,statements Nvidia filedwith the U.S. Securities and Exchange Commission on Wednesday emphasized that there was “no assurance” an investment would take place. Huang also addressed concerns about the sustainability oftech companies’ capex commitments, saying he believed the compute investments would soon bring revenue. “In this new world of AI, computeisrevenue. Without compute, there’s no way to generate tokens. Without tokens, there’s no way to grow revenues,” Huang said. “We’ve reached the inflection point and we’re generating profitable tokens that are productive for customers and profitable for the cloud service providers”
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Anthropic acquires computer-use AI startup Vercept after Meta poached one of its founders
Anthropic on Wednesdayannouncedthat it has acquired Vercept, an AI startup with deep roots to some of the biggest names in Seattle’s tech scene. The acquisition marks the latest after Anthropicacquired coding agent engine Bunin December to help scale Claude Code. Vercept had created tools for more complex agentic tasks, including its product Vy, a computer-use agent in the cloud that could operate a remote Apple MacBook. Vercept is one of the many startups working on re-imagining the personal computer for the age of AI agents. As part of the deal, Anthropic is shuttering Vercept’s product on March 25. The startup was a grad of Seattle’s AI-focusedincubatorA12,which spawned from the longstanding Allen Institute for AI. Vercept’s co-founders had roots with the Allen Institute, as well, and were previously researchers there. One co-founder, Matt Deitke, made news last year as one of the AI researcherswho negotiated a monster $250 million salaryfrom Meta to join its Superintelligence Lab. On Wednesday, Deitke congratulated his former colleaguesin a post on X. Congrats to@ehsanik,@LucaWeihs, and@inkynumbers!Happy for you all :) 🚀https://t.co/n3WTq4CAAs Vercept was a relatively high-profile AI startup in the region. In aLinkedIn postannouncing the acquisition by Anthropic, Vercept CEO Kiana Ehsani said the startup had raised a total of $50 million. She called out A12’s Seth Bannon, a board member, as the lead investor. Vercept previously announced it had raised a$16 million seed roundlast January. The list of angel investors was impressive, too, and included former Google CEO Eric Schmidt, Google DeepMind chief scientist Jeff Dean, Cruise founder Kyle Vogt, and Dropbox co-founder Arash Ferdowsi,GeekWire reported. In Anthropic’s announcement of the acquisition, the company named co-founders Ehsani, Luca Weihs, and Ross Girshick as some of the team brought on to join Anthropic in the acquisition. However, not all of Vercept’s co-founders are joining the Claude maker. Oren Etzioni, who haspreviously been namedas a co-founder of Vercept and investor in the startup, is well known in Seattle as the founding leader of the Allen Institute for AI. Along with Deitke, he is also not joining Anthropic, and was vocally less pleased about the acqui-hire. He postedon LinkedIn: “After a little bit more than a year,Verceptis throwing in the towel and giving their customers 30 days to get off the platform. Sad. A fantastic team is joining Anthropic. I wish them the very best!” Etzioni is also a professor at the University of Washington and known forother startupshe’s founded and backed as a VC. He did not respond to a request for comment. On Etzioni’s LinkedIn post, he accused Bannon, the Vercept lead investor, of being “partly responsible” for Vercept not hiring the correct business people. A back and forth ensued between the investors, withBannon condemningEtzioni’s remarks: “… you disparaged the heroic work of the founders for achieving an outcome most could only dream of,” Bannon replied in the LinkedIn string. They also accused each other of other less savory things like lying and legal threats. While public spats between investors are entertaining, and essentially meaningless, the underlying motivation is notable. The stakes are high to build the next big AI winner, and now a promising startup that raised a decently sized war chest will be tucked into Anthropic. While the terms of the deal were not disclosed, Etzioni says he got a return on his money. Anthropic clearly wanted these researchers (perhaps — especially — with another of them at Meta). Still, Etzioni told GeekWire that he remains bummed. “I’m pleased to have gotten a positive return but obviously disappointed that after just a little over a year with so much traction, and such a fantastic team, we’re basically throwing in the towel,” he said. The founders joining Anthropic, however, appear happy, according to CEO’s Ehsani’s LinkedIn post. “The choices were clear: we could build independently and work toward the same vision as two separate versions of it, or join forces with an incredible team and accelerate that vision into reality. The decision became an easy choice,” she said of joining Anthropic.
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Gushwork bets on AI search for customer leads — and early results are emerging
As AI-powered search tools reshape how businesses are discovered online, India-founded startupGushworkis helping companies capture customers from platforms such as ChatGPT, Gemini, and Perplexity — with early traction that is beginning to draw investor support. The two-year-old startup said Thursday it had raised $9 million in a seed round led by Susquehanna International Group (SIG) and Lightspeed, with participation from B Capital, Seaborne Capital, Beenext, Sparrow Capital, and 2.2 Capital. The round values Gushwork at $33 million post-money, up from about $7.5 million following itsLightspeed-led $2.1 million pre-seedin July 2023, a person familiar with the matter told TechCrunch. The latest financing brings Gushwork’s total funding to $11 million, the startup said. The funding comes as AI companies, includingOpenAIandPerplexity, begin to chip away at traditional web search, prompting incumbents like Google to roll outAI-generated overviewsand otherconversational featuresacross their search products. Gushwork is betting this shift will create a new opportunity to help businesses surface in AI-driven discovery channels using its automated marketing agents. Founded in 2023 by Nayrhit Bhattacharya (pictured above, right) and Adithya Venkatesh (pictured above, left), Gushwork initially focused on helping small and medium businesses outsource workflows using a mix of AI and human expertise. The startup began narrowing its focus toward search-led marketing after seeing strong customer demand for help with improving online visibility. “When we started, we were focused on helping businesses outsource faster and outsource better,” Bhattacharya told TechCrunch in an interview, adding that the pull around search from customers became increasingly hard to ignore. Gushwork’s platform uses a network of AI agents to automatically generate and update search-optimized content; build backlinks — typically 10 to 20 per customer — through a network of roughly 200 to 300 partner websites; and track inbound leads through an integrated content management system. The goal, Bhattacharya said, is to help businesses surface in both traditional search results and AI-generated answers without relying on large in-house marketing teams. The startup says it has signed up more than 300 paying customers — roughly 95% of them in the U.S. — with subscriptions starting at $800 per month. Gushwork is currently running at about $1.5 million in annualized recurring revenue after rolling out its AI search-focused product around three months ago and is targeting $3 million to $3.5 million ARR in the next three months, Bhattacharya said, adding that the startup is growing about 50% to 80% month over month. Across Gushwork’s customer base, about 20% of website traffic now comes from AI-driven search and chat platforms, but those sources account for around 40% of inbound leads, Bhattacharya said, citing the startup’s internal data. The higher-intent leads, Bhattacharya said, are already translating into business outcomes for some customers. In one case, a professional services client has closed between $200,000 and $350,000 worth of contracts after adopting the platform, he said, declining to disclose the customer’s name. He added that many users are seeing meaningful pipeline growth as AI-driven discovery gains traction. Gushwork’s customer base today is concentrated among high-ticket B2B service providers, industrial distributors, and contract manufacturers, primarily in the U.S., Bhattacharya said. The startup’s average subscription runs about $800 to $900 per month, or roughly $9,000 to $10,000 in annual contract value, he added. The shift toward AI-driven discovery is still in its early stages but is gaining momentum. Tools such as generative AI chatbots and AI web browsers are increasingly being used by buyers to research vendors and products. OpenAI said in July 2025 that ChatGPTreceived about 2.5 billion prompts a dayglobally, including roughly 330 million from U.S. users. Bhattacharya said the trend is beginning to reshape how some businesses approach online visibility. Gushwork plans to use the new funding to expand its engineering team, improve model accuracy, and scale its go-to-market efforts, Bhattacharya said. He added that the startup has more than 800 businesses on its waitlist that it plans to begin onboarding. The startup, headquartered in Delaware with an office in Bengaluru, has about 70 employees in India, along with several contractors.
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Salesforce CEO Marc Benioff: This isn’t our first SaaSpocalypse
Salesforce pulled out all the stops to convince investors that the AI revolution won’t be its death when it announced fourth-quarter earnings on Wednesday. Salesforce reported a solid quarter of $10.7 billion in revenue, up 13% year-over-year. For the year, it reported $41.5 billion in revenue, up 10% over the previous year, with both results boosted by its $8 billion acquisition ofdata management companyInformaticalast May. Net income landed at $7.46 billion, and the company offered strong guidance for the year ahead, projecting revenue of $45.8 billion to $46.2 billion — a 10% to 11% increase. It also said its “remaining performance obligation,” or RPO, is over $72 billion. That’s a figure that shows revenue under contact that has not yet been delivered or recognized as earned revenue. The numbers, though, could only do so much. Software-as-a-service stocks, withSalesforce as their poster child, have been getting hammered lately. Investors fear the rise of AI agents will undermine these companies, making their per-employee-seatbusiness models obsolete. The situation has been dubbed the “SaaSpocalypse.” The concept hung so heavily in the air during the earnings call that CEO Marc Benioff mentioned the term at least six times. “You’ve heard about the SaaSpocalypse? And it isn’t our first. We’ve had a few of them,” he said, later adding, “If there is a SaaSpocalypse, it may be eaten by the Sasquatch because there are a lot of companies using a lot of SaaS because it just got better with agents.” In an attempt to convince the world of its continued health, Salesforce threw everything and the kitchen sink into this earnings report. The company increased its dividend by nearly 6% to $0.44 per share. It launched a new $50 billion share buyback program. That’s always a favorite with shareholders because it both creates a sturdy buyer of shares and reduces the number of shares in circulation (which can boost the stock price). The company also revamped the earnings call itself. It was part podcast, part infomercial, and part normal Q&A with a few questions from Wall Street analysts. Instead of running through the numbers, Benioff interviewed three Salesforce customers on camera to testify to their love of its new agentic options: the CEO of home appliance company SharkNinja; the CEO of Wyndham Hotels and Resorts; and, just to hammer the point, the CEO of SaaStr, the software industry conference and media company. We’ll truncate the interviews to the shortest summary: They all love Salesforce’s AI agent products. Salesforce also introduced a new metric for its agentic products: agentic work units (“AWU”). The idea here is that rather than simply counting “tokens” — the standard unit of AI processing volume — AWU attempts to measure something more meaningful: whether an agent actually completed a task, like writing to a record, rather than just generating text. (Salesforce logged 19 trillion tokens last quarter, which sounds like a lot but reallyis notin the AI world.) “You can ask it a question and it can write you a poem, but that’s not really all that valuable in the enterprise world,” Salesforce president and CMO Patrick Stokes said on the call. So AWU is intended to measure when the agent writes to a record or does some other verifiable task. On top of that, Salesforce also presented its own architectural vision of the coming world of agents. It shows SaaS software like itselfowning most of the tech stack, with the AI model makers on the bottom as unseen, interchangeable, and commoditized work engines. This was a direct counter to one of the causes of a SaaSpocalypse sell-off earlier this month, afterOpenAI released its enterprise agent, Frontier. OpenAI’s architectural vision shows OpenAI owning most of the stack, with systems-of-record SaaS providers (the databases and business-software platforms where companies store their core data)on the bottom as the unseen engines. And if all that wasn’t enough to influence investors: Benioff was dressed in a black leather jacket, echoing the signature look of the CEO clearly crushing it in the AI world: Nvidia’s Jensen Huang.
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The public opposition to AI infrastructure is heating up
Across the country, discontenthas explodedover the ever-growing glut of server farms that have accompanied the AI boom. Anger has grown so loud that it’s begun to shift legislative agendas. Some states and communities are mulling temporary bans on new data center development altogether. Earlier this month, New York joined the club, with a bold new proposal to halt the local cloud build-out in its tracks. A new billin New York State would impose a three-year moratorium on the issuance of new permits for data center construction throughout the state, while local regulators are given a chance to study the environmental and economic impacts the industry is having on communities. The bill’s co-authors, state senator Liz Krueger and Assemblymember Anna Kelles, have called the legislation the “strongest” introduced in the country. While no statewide moratoriums have passed so far, local bans are proliferating fast. Several weeks before Krueger and Kelles introduced their bill, the New Orleans City Councilpassed a moratorium, pausing all new data center construction in the city for one year. In early January, Madison, Wisconsin,passed a similar lawafter protests erupted over regional tech projects. Similar policies have also passed in droves of communities throughout construction hot spots likeGeorgiaandMichigan, as well as in many other regions throughout the country. Environmental activistshave long taken aim at data centers, but the more recent concerns have come from high-level lawmakers, drawing on populist anger at the tech industry broadly. In conservative Florida, for instance, Gov. Ron DeSantis recently announced anAI “bill of rights”that gives local communities the right to limit new data center construction. In liberal Vermont, U.S. Senator Bernie Sanders hassuggested a nationwide moratorium. And in Arizona, where the political milieu isdecidedly mixed, Gov. Katie Hobbs recently said she supportedpulling the industry’s tax incentives. Politicians have even begun to fight over the topics, with the governor of Mississippitaking shotsat Sanders online over his moratorium proposal. The political resistance is coming just as tech companies commit more and more money to building out infrastructure. The four biggest spenders — Amazon, Google, Meta, and Microsoft — plan to spenda whopping $650 billionin capital expenditures over the next year, the vast majority of it going to data center build-outs. Even more spending isplanned in the following years, as the companies race to secure as much compute capacity as possible. But the speed and scale of those projects has made them increasingly unpopular, according to recent polling.A recent Echelon Insights pollfound 46% of respondents would oppose plans to build a data center in their community, compared with 35% in support.A different pollfrom Politico found that, while there is considerable concern about the facilities, many voters don’t have much of an opinion either way — making it possible for public sentiment to be swayed in either direction. The industry is already spending big to attempt to change those numbers — at least in the regions where it matters. In January, the Financial Timesreported thatsome of the industry’s biggest data center operators were planning a “lobbying blitz,” with plans to “boost spending on targeted advertising and engagement” aimed at the communities where they build. Tech companies are also making real concessions, likethe planned Rate Payer Protection Pledgethat would make them responsible for supplying power to any new AI data centers. But it’s not clear those measures will be enough to bring the public around. Dan Diorio, of the Data Center Coalition, argued, in a conversation with TechCrunch, that data centers should appeal to smaller communities because they provide revenue without straining those communities’ limited resources. If the incentives are cut off and companies decide not to build in those places, the revenue also won’t be there. “That’s where statewide policy considerations come in,” he said. “Are you going to limit communities in which these businesses could be a significant benefit for them?” In general, data center moratoriums are meant to give communities breathing room while policymakers study the potential costs and benefits of allowing such facilities to be built in their communities. Therate of constructionin some states has accelerated at such a pace that communities are unsure of how the industry will impact them in the long run. Justin Flagg, director of communications and environmental policy for Sen. Krueger’s office, told TechCrunch that the legislation was driven, in part, by what he called the energy affordability crisis in New York. Said crisis has troubled both rate payers and politicians. A group of 30 state lawmakers recentlycalled uponthe state’s governor, Kathy Hochul, to declare an “energy state of emergency” in New York due to rate increases. While there area diversity of factorsat work in driving up energy prices, there’s aconsensusthat the growth in data centers is making the problem worse, not better. “There’s broad discontent being expressed about energy prices,” Flagg said. “We certainly hear that constantly from our constituents, whose electric and gas rates are going up.” He added that local pushback was also being driven by environmental concerns — which he described as the “water impact and the noise and the local infrastructure impact as well.” In response to those grid concerns, major tech companies — includingMicrosoft, Google, Meta, andOpenAI— have promised topay for their additions to the electrical gridin the communities where they operate, often installing behind-the-meter power sources paired with the new data centers. The Washington Postrecently reportedthat Silicon Valley is increasingly looking to build its own private electrical supply — a kind of “shadow grid” — that can be used to operate the power-consumptive properties that are now fueling the AI industry. The strategy involves standing up massive new private power sources instead of relying on the public grid. One example of this practice comes from xAI, Elon Musk’s AI startup, which — at the site of its massive data center in Memphis, Tennessee,known as “Colossus”— built a series of methane gas turbines that have been accused of polluting the local community. The company’s efforts have already run into significant trouble. xAI hadreportedlytold local officials that, due to a legal loophole, the turbines were exempt from air-quality permits. In January, the Environmental Protection Agencyruled thatMusk’s company was not exempt from the permits, making their previous operation illegal. Environmental activists, decrying the facility’s discharge of “smog-forming pollution, soot, and hazardous chemicals,”announcedearlier this month that they planned to sue the company over it. Musk’s facility has since permitted its turbines. As the xAI example illustrates, if the “shadow grid” strategy purports to solve one problem (public grid overload), it threatens to create a host of new ones — with environmental activists and local communities alikeexpressing concernfor how the new facilities could spew pollution into people’s backyards. At the federal level, the Trump administration — which has made AI one of its top priorities — has also sought to characterize the industry as responsible stewards of the communities in which they build. Indeed, Trump officials havefloated a hypothetical policyto force AI companies to internalize the costs of their additions to local electrical grids, although the details on this policy remain vague. For years, communities have incentivized data center development through tax breaks. Last summer,an analysis by CNBCfound that 42 states throughout the U.S. either have no sales tax or provide full or partial sales tax exemptions to tech firms. Of that number, some 16 states publicly reported how much they had awarded to companies through tax breaks. The forfeited revenue amounted to some $6 billion over a period of five years, the outlet wrote. Now, however, more and more states are thinking about turning off the spigot. In Georgia, for instance,a variety of bills were recently introducedthat would crack down on the industry’s benefits. State senator Matt Brass, who has introduced a bill thatwould nix the server sales tax exemption, told TechCrunch that he doesn’t think tech companies need the extra money, nor does he think dispensing with the benefit will dissuade them from doing business in the state. “In Georgia, if you compare us to other states, our property taxes are low, our property values are low, our overall tax burden is low,” Brass said. “So, you know, our overall business climate is good. That should be the attraction.” Brass, who chairs the state’s rules committee, told TechCrunch that he expects there to be significant support for his policy. A similar piece of legislation passed the Georgia legislature in 2024, but it was vetoed by the governor. Brass added that, were the exemption to be done away with, he believes it could generate hundreds of millions of dollars for the state. In Ohio, a similar policy battle is currently playing out. A group of Democratic lawmakers recentlyintroduced legislationthat would — like in Georgia — move to nix the state’s sales tax exemption. A similar policy was introduced last year, but — like in Georgia — it was defeated by the state’s governor, Mike DeWine. “The most ridiculous tax break on the books currently is for data centers,” one of the bill’s supporting lawmakers, state Sen. Kent Smith,recently said. “That tax break needs to end, for the benefit of everyone who’s got an electric bill.” At the same time, there are still plenty of lawmakers who support the server sales tax exemption. In Colorado, state representative Alex Valdezrecently introduced a billthat would enshrine data centers’ loophole for the next 20 years. Valdez told TechCrunch that the exemption is merely a carrot to get tech companies in the door. Once they set up a base of operations in the state, they become a source of passive revenue that inevitably boomerangs back to benefit the communities in which they operate, he said.
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Wearable startup CUDIS launches a new health ring line with an AI-fueled ‘coach’
Wearables startupCUDISis launching its newest series of health rings this week. The updated ring comes equipped with a number of features, including an AI “agent coach” designed to keep users on track to attain their fitness goals. CUDIS says it differentiates itself from other wearables by not just delivering health metrics but also incentivizing healthy behavior through a points system. Users garner digital “health points” for healthy behaviors — things like daily sleep, 10,000 steps every day, sports activities, and conversations with the ring’s AI coach — which can then be redeemed through an integrated marketplace for discounts on health supplements and other products. The ring’s AI Agent Coach, meanwhile, is designed to leverage generative AI to aid with healthy programs for exercise and daily health. The company says that its agent generates tailored programs including “daily tasks, recovery protocols, supplement recommendations, and direct referrals to licensed medical professionals.” The ring also tracks a host of body metrics and daily behaviors, such as sleep quality, stress management, movement, and recovery. This helps them see how these metrics affect their Pace of Aging (PoA), showing whether their body is aging faster or slower than their chronological age, the company explains. CUDIS CEO and co-founder Edison Chen told TechCrunch that since his company’s first wearable was launched in 2024, the company has sold over 30,000 units across its first two models. The app’s user base has also grown to 250,000 users across 103 countries, he added. “Our strongest markets so far have been North America, Europe, and Asia,” Chen said. “What we’re good at is pattern recognition for healthy people trying to optimize,” Chen told TechCrunch. “The AI spots when you’re trending in the wrong direction, such as chronic poor sleep, declining HRV, elevated resting heart rate, and either suggests lifestyle changes or connects you to a professional. The control is in the escalation pathway to the right care access,” he said. The company claims that it keeps user data encrypted and secure via the Solana blockchain. It has previouslybeen describedas a “web3 AI wellness company.” (TechCrunch was not able to test the smart ring directly to verify its security claims.) CUDIS announced $5 million of seed funding in 2024. The round was led by Draper Associates and included a number of other investors, including a number of blockchain-associated investor groups like Skybridge, DraperDragon, Monke Ventures, and Foresight Ventures, among others. The company alsoplans to launcha Kickstarter soon.
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Alphabet-owned robotics software company Intrinsic joins Google
Google is moving further into physical AI by bringing a familiar robotics software platform under its wing. Alphabet-owned Intrinsic, which builds AI models and software designed to make industrial robots more accessible, is joining Google, the companiesannounced on Wednesday. Intrinsic will remain a distinct entity within Google but will work closely with Google DeepMind and will tap into Google’s Gemini AI models and cloud services. Alphabet declined to share information regarding funding or purchase price. Intrinsic “graduated” into anindependent Alphabet-owned company in 2021after five years of development within Alphabet’s X, the company’s moonshot research division. Other companies that have graduated from X include robotaxi company Waymo and drone delivery company Wing. Wendy Tan White has served as Intrinsic’s CEO since its spinout in 2021. The company hit the ground running. A few months after announcing its independence,Intrinsic acquired Vicarious, a fellow robotics software company, in April 2022. While the purchase price wasn’t disclosed, Vicarious had raised about $250 million from VCs and tech bigwigs like Jeff Bezos. A few months later, Intrinsicacquired several for-profit divisionsof Open Robotics, a nonprofit organization that builds hardware and software platforms for the robotics industry. Despite this rapid expansion,Intrinsic laid off 20% of its workforcein January 2023. The company announced its first product, Flowstate, just a few months later. Flowstate is a software platform fordeveloping robotics workflowsaimed at developers that don’t have deep robotics experience — aligning with the company’s mission to make robotics more accessible. Since then, the company has fine-tuned the technology, improved its simulation capabilities, and released its Intrinsic Vision AI model in late 2025. Intrinsic announced ajoint venture with electronics manufacturer Foxconnin October 2025 that entails the two companies working together on general-purpose intelligent robots to transform how electronics are manufactured, with the goal of full factory automation. Now, the company is working toward those goals with closer collaboration with Google’s AI prowess. “Combined with Google’s incredible AI and infrastructure, we’re going to unlock the promise of physical AI for a much broader set of manufacturing businesses and developers. This will fundamentally shift production, from its economics to operations, and enable truly advanced manufacturing,” Tan White wrote in the company’s blog post. This move makes a lot of sense for Google, as many tech leaders, includingNvidia’s Jensen HuangandQualcomm’s Cristiano Amon, see physical AI as the next natural step in the monetization and advancement of AI models and technology.
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