
How AI regulation could shake out in 2025
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U.S. President-elect Donald Trump and Elon Musk watch the launch of the sixth test flight of the SpaceX Starship rocket in Brownsville, Texas, on Nov. 19, 2024.
Brandon Bell | Via Reuters
The U.S. political landscape is set to undergo some shifts in 2025 — and those changes will have some major implications for the regulation of artificial intelligence.
President-elect Donald Trump will be inaugurated on Jan. 20. Joining him in the White House will be a raft of top advisors from the world of business — including Elon Musk and Vivek Ramaswamy — who are expected to influence policy thinking around nascent technologies such as AI and cryptocurrencies.
Across the Atlantic, a tale of two jurisdictions has emerged, with the U.K. and European Union diverging in regulatory thinking. While the EU has taken more of a heavy hand with the Silicon Valley giants behind the most powerful AI systems, Britain has adopted a more light-touch approach.
In 2025, the state of AI regulation globally could be in for a major overhaul. CNBC takes a look at some of the key developments to watch — from the evolution of the EU’s landmark AI Act to what a Trump administration could do for the U.S.
Musk’s U.S. policy influence
Elon Musk walks on Capitol Hill on the day of a meeting with Senate Republican Leader-elect John Thune (R-SD), in Washington, U.S. December 5, 2024.
Benoit Tessier | Reuters
Although it’s not an issue that featured very heavily during Trump’s election campaign, artificial intelligence is expected to be one of the key sectors set to benefit from the next U.S. administration.
For one, Trump appointed Musk, CEO of electric car manufacturer Tesla, to co-lead his “Department of Government Efficiency” alongside Ramaswamy, an American biotech entrepreneur who dropped out of the 2024 presidential election race to back Trump.
Matt Calkins, CEO of Appian, told CNBC Trump’s close relationship with Musk could put the U.S. in a good position when it comes to AI, citing the billionaire’s experience as a co-founder of OpenAI and CEO of xAI, his own AI lab, as positive indicators.
“We’ve finally got one person in the U.S. administration who truly knows about AI and has an opinion about it,” Calkins said in an interview last month. Musk was one of Trump’s most prominent endorsers in the business community, even appearing at some of his campaign rallies.
There is currently no confirmation on what Trump has planned in terms of possible presidential directives or executive orders. But Calkins thinks it’s likely Musk will look to suggest guardrails to ensure AI development doesn’t endanger civilization — a risk he’s warned about multiple times in the past.
“He has an unquestioned reluctance to allow AI to cause catastrophic human outcomes – he’s definitely worried about that, he was talking about it long before he had a policy position,” Calkins told CNBC.
Currently, there is no comprehensive federal AI legislation in the U.S. Rather, there’s been a patchwork of regulatory frameworks at the state and local level, with numerous AI bills introduced across 45 states plus Washington D.C., Puerto Rico and the U.S. Virgin Islands.
The EU AI Act
The European Union is so far the only jurisdiction globally to drive forward comprehensive rules for artificial intelligence with its AI Act.
Jaque Silva | Nurphoto | Getty Images
The European Union has so far been the only jurisdiction globally to push forward with comprehensive statutory rules for the AI industry. Earlier this year, the bloc’s AI Act — a first-of-its-kind AI regulatory framework — officially entered into force.
The law isn’t yet fully in force yet, but it’s already causing tension among large U.S. tech companies, who are concerned that some aspects of the regulation are too strict and may quash innovation.
In December, the EU AI Office, a newly created body overseeing models under the AI Act, published a second-draft code of practice for general-purpose AI (GPAI) models, which refers to systems like OpenAI’s GPT family of large language models, or LLMs.
The second draft included exemptions for providers of certain open-source AI models. Such models are typically available to the public to allow developers to build their own custom versions. It also includes a requirement for developers of “systemic” GPAI models to undergo rigorous risk assessments.
The Computer & Communications Industry Association — whose members include Amazon, Google and Meta — warned it “contains measures going far beyond the Act’s agreed scope, such as far-reaching copyright measures.”
The AI Office wasn’t immediately available for comment when contacted by CNBC.
It’s worth noting the EU AI Act is far from reaching full implementation.
As Shelley McKinley, chief legal officer of popular code repository platform GitHub, told CNBC in November, “the next phase of the work has started, which may mean there’s more ahead of us than there is behind us at this point.”
For example, in February, the first provisions of the Act will become enforceable. These provisions cover “high-risk” AI applications such as remote biometric identification, loan decisioning and educational scoring. A third draft of the code on GPAI models is slated for publication that same month.
European tech leaders are concerned about the risk that punitive EU measures on U.S. tech firms could provoke a reaction from Trump, which might in turn cause the bloc to soften its approach.
Take antitrust regulation, for example. The EU’s been an active player taking action to curb U.S. tech giants’ dominance — but that’s something that could result in a negative response from Trump, according to Swiss VPN firm Proton’s CEO Andy Yen.
“[Trump’s] view is he probably wants to regulate his tech companies himself,” Yen told CNBC in a November interview at the Web Summit tech conference in Lisbon, Portugal. “He doesn’t want Europe to get involved.”
UK copyright review
Britain’s Prime Minister Keir Starmer gives a media interview while attending the 79th United Nations General Assembly at the United Nations Headquarters in New York, U.S. September 25, 2024.
Leon Neal | Via Reuters
One country to watch for is the U.K. Previously, Britain has shied away from introducing statutory obligations for AI model makers due to the fear that new legislation could be too restrictive.
However, Keir Starmer’s government has said it plans to draw up legislation for AI, although details remain thin for now. The general expectation is that the U.K. will take a more principles-based approach to AI regulation, as opposed to the EU’s risk-based framework.
Last month, the government dropped its first major indicator for where regulation is moving, announcing a consultation on measures to regulate the use of copyrighted content to train AI models. Copyright is a big issue for generative AI and LLMs, in particular.
Most LLMs use public data from the open web to train their AI models. But that often includes examples of artwork and other copyrighted material. Artists and publishers like the New York Times allege that these systems are unfairly scraping their valuable content without consent to generate original output.
To address this issue, the U.K. government is considering making an exception to copyright law for AI model training, while still allowing rights holders to opt out of having their works used for training purposes.
Appian’s Calkins said that the U.K. could end up being a “global leader” on the issue of copyright infringement by AI models, adding that the country isn’t “subject to the same overwhelming lobbying blitz from domestic AI leaders that the U.S. is.”
U.S.-China relations a possible point of tension
U.S. President Donald Trump, right, and Xi Jinping, China’s president, walk past members of the People’s Liberation Army (PLA) during a welcome ceremony outside the Great Hall of the People in Beijing, China, on Thursday, Nov. 9, 2017.
Qilai Shen | Bloomberg | Getty Images
Lastly, as world governments seek to regulate fast-growing AI systems, there’s a risk geopolitical tensions between the U.S. and China may escalate under Trump.
In his first term as president, Trump enforced a number of hawkish policy measures on China, including a decision to add Huawei to a trade blacklist restricting it from doing business with American tech suppliers. He also launched a bid to ban TikTok,which is owned by Chinese firm ByteDance, in the U.S. — although he’s since softened his position on TikTok.
China is racing to beat the U.S. for dominance in AI. At the same time, the U.S. has taken measures to restrict China’s access to key technologies, mainly chips like those designed by Nvidia, which are required to train more advanced AI models. China has responded by attempting to build its own homegrown chip industry.
Technologists worry that a geopolitical fracturing between the U.S. and China on artificial intelligence could result in other risks, such as the potential for one of the two to develop a form of AI smarter than humans.
Max Tegmark, founder of the nonprofit Future of Life Institute, believes the U.S. and China could in future create a form of AI that can improve itself and design new systems without human supervision, potentially forcing both countries’ governments to individually come up with rules around AI safety.
“My optimistic path forward is the U.S. and China unilaterally impose national safety standards to prevent their own companies from doing harm and building uncontrollable AGI, not to appease the rivals superpowers, but just to protect themselves,” Tegmark told CNBC in a November interview.
Governments are already trying to work together to figure out how to create regulations and frameworks around AI. In 2023, the U.K. hosted a global AI safety summit, which the U.S. and China administrations both attended, to discuss potential guardrails around the technology.
– CNBC’s Arjun Kharpal contributed to this report
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Technology
Apple reportedly ups iPhone production in India as country’s Russia ties roil White House
Published
26 mins agoon
August 19, 2025By
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Apple has reportedly boosted iPhone production in India as the country faces pressure from the White House over its Russian oil purchases.
“We have planned to up the tariffs on India,” Treasury Secretary Scott Bessent told CNBC’s “Squawk Box” on Tuesday. “These are secondary tariffs for buying the sanctioned Russian oil.”
Bessent accused India of “profiteering” by purchasing cheap Russian oil and reselling it during the Ukraine war, “which is unacceptable.”
Earlier this month, President Donald Trump hiked tariffs on India to 50%. The president said in July that he would impose secondary tariffs “at about 100%” on Russia’s trading partners if a peace deal isn’t reached with Ukraine by September.
His comments came as Bloomberg reported that technology giant Apple has reportedly upped production at five of its factories in India as it readies for the launch of its new iPhone 17 models.
Read more CNBC tech news
The expansion includes some new plants and factories belonging to the Tata Group and contract electronics manufacturer Foxconn Technology, according to the report, citing people familiar with the matter. Apple is also looking to create a new iPhone 17e in India next year, according to the report.
In recent years, Apple has shifted more production to India as it looks to reduce its reliance on China, especially in the wake of recent trade tensions.
Data from Canalys in May estimated that iPhone shipments from India to the U.S. grew 76% in May as trade restrictions loomed.
At the same time, Apple has committed to investing over $600 billion in the U.S. over the next four years to improve American manufacturing production.
That includes a $100 billion spending expansion this month, which included a $2.5 billion investment to expand iPhone glass maker Corning’s production.
This commitment to building in the U.S. should put Apple in the clear on India-related tariffs.
Technology
Nvidia says it’s evaluating a ‘variety of products’ after report of new AI chip for China
Published
1 hour agoon
August 19, 2025By
admin
The Nvidia booth at the China International Supply Chain Expo in Beijing on July 16, 2025.
Florence Lo | Reuters
Nvidia said Tuesday that it is evaluating several products following a report that the company is working on a new artificial intelligence chip for China that is more powerful than the currently available H20.
The new product, tentatively called the B30A, is expected to be based on Nvidia’s Blackwell chip architecture, Reuters reported, citing people familiar with the company’s plans. Nvidia hopes to deliver sample units to Chinese clients for testing as soon as next month, according to Reuters.
“We evaluate a variety of products for our roadmap, so that we can be prepared to compete to the extent that governments allow,” the company told CNBC in a statement. “Everything we offer is with the full approval of the applicable authorities and designed solely for beneficial commercial use.”
Commerce Secretary Howard Lutnick on Tuesday praised Nvidia CEO Jensen Huang and said he wouldn’t be surprised if Huang wants to sell a new chip to China.
“I’m sure he’s pitching the president all the time,” Lutnick said in an interview with CNBC’s “Squawk on the Street.” “I’ve listened to him pitch the president, and the president listens to our great technology companies, and he’ll decide how he wants to play it.”
Read more CNBC tech news
Earlier this month, Nvidia and rival Advanced Micro Devices agreed to give the U.S. government a 15% cut of their sales in China, in exchange for permission to resume selling chips in the region.
The Trump administration halted the sale of advanced computer chips to China in April over national security concerns. Nvidia built its China-specific H20 chip after the Biden administration implemented export controls on AI chips in 2023, while AMD developed the MI308 chip for the Chinese market.
President Donald Trump said last week that he originally requested a 20% cut of Nvidia’s sales, but that Huang negotiated the number down to 15%.
Trump suggested at the time that he would be open to Nvidia selling a significantly scaled-down version of its advanced Blackwell chip in China.
“It’s possible I’d make a deal” on a “somewhat enhanced — in a negative way — Blackwell” processor, Trump said. “In other words, take 30% to 50% off of it.”
— CNBC’s Kristina Partsinevelos contributed to this report.
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Silicon Valley’s AI deals are creating zombie startups: ‘You hollowed out the organization’
Published
3 hours agoon
August 19, 2025By
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Jaque Silva | Nurphoto | Getty Images
Jeff Wang got a big promotion last month. There were lots of tears, but not the happy kind.
The 39-year-old was unexpectedly named interim CEO of artificial intelligence coding startup Windsurf. The company had been in discussions with OpenAI about a potential acquisition that would have resulted in a handsome payday for many employees. But the talks fell apart and, on July 11, several founders and top researchers instead left to join Google as part of a $2.4 billion licensing deal.
As one of the highest-ranking executives remaining at Windsurf, Wang was elevated to the top job, at least for the time being. His first order of business, he told CNBC, was to break the news at a tense all-hands meeting at the startup’s Silicon Valley headquarters.
“It was a very, very challenging day,” Wang said. “People were crying. It was very, very emotional. I was spending half the time calming down people, because they have families and they got nothing.”
Windsurf is part of a growing crop of AI startups whose founders and top researchers have been poached by megacaps like Meta, Google, Microsoft and Amazon through high-priced talent grabs that are helping the biggest companies skirt regulatory scrutiny. While the deals often produce big payouts for founders and AI leaders, they can leave investors, other employees and the remaining company in limbo.
Samir Kumar, a general partner at Touring Capital, said that what’s left is something resembling a zombie company.
“There’s a big question of what their future prospects are,” Kumar said. “Frankly, you hollowed out the organization.”
The headline-grabbing deal came in June, when Meta rocked the tech industry by announcing a $14.3 billion investment in data labeling startup Scale AI. As part of the agreement, Meta took a 49% stake in the company, hired its CEO Alexandr Wang to lead a new superintelligence lab and said it would deepen the work it does with Scale.
A month later, Scale cut 200 full-time employees, or 14% of its staff. Meta’s investment had doubled Scale’s valuation from $14 billion last year. But that number only exists on paper.
Alexandr Wang, CEO of ScaleAI speaks on CNBC’s Squawk Box outside the World Economic Forum in Davos, Switzerland on Jan. 23, 2025.
Gerry Miller | CNBC
Microsoft used a similar playbook in March 2024, when it hired Inflection AI’s co-founders and other staffers. Amazon has completed two such deals in the last year, nabbing the founders and top talent away from Adept in June 2024, and from Covariant two months later. Google inked a $2.7 billion licensing deal with Character.AI and hired its founders last August.
For Silicon Valley venture investors, long the lifeblood of risky tech startups, the system isn’t functioning as intended. Companies that would otherwise be on the path to a potential initial public offering or lucrative acquisition are getting pulled apart, with the bulk of the cash ending up in the pockets of the founders and their leading engineers.
“The money doesn’t flow as straightforwardly as it would in just a pure M&A transaction,” said Rob Toews, partner at Radical Ventures.
The Scale deal was the exception as far as venture returns go, as Meta’s hefty cash investment resulted in big gains for early investors, most notably Accel.
Scale spokesperson Joe Osborne said the company is very much alive.
“Comparing Scale to these companies overlooks major differences in our revenue performance, company size, and deal structure,” Osborne said in a statement. He said Scale has more than 1,000 employees and over $100 million in revenue with enterprise and government clients.
“Meta’s investment benefited our investors and employees, kept us independent, and positioned us for long-term success,” Osborne said.
VCs say one way to try and keep founders and early employees from bailing is through secondary offerings, allowing them to sell a piece of their ownership to investors so they can buy a house, repay debt or just lock in some gains.
But secondary sales can’t compete with the kinds of offers coming from deep-pocketed tech companies that are flinging open their wallets to win the AI battle. Tech investors and startup employees who spoke to CNBC said it’s a trend that threatens to thwart innovation as founders abandon their ambitious projects to work for the biggest companies in the world.
“This is not business as usual,” said Tom Chavez, co-founder of the startup studio Superset. “This is a disruption.”
Regulatory workaround
It’s a moment that began after the launch in late 2022 of OpenAI’s ChatGPT, which ushered in the generative AI boom. At the time, the tech giants were limited in their ability to expand through mergers and acquisitions.
The Federal Trade Commission, then led by Lina Khan, was seeking to block a number of notable tech acquisitions, including Microsoft’s $69 billion agreement to buy Activision Blizzard (a deal that eventually closed) and Nvidia’s $40 billion bid for Arm (a deal that collapsed). It even tried, unsuccessfully, to stop Meta from completing a much smaller deal — the $400 million purchase of virtual reality studio Within.
Meanwhile, regulators in Europe were able to block Amazon’s planned $1.34 billion acquisition of iRobot last year, shortly after convincing Adobe to walk away from a $20 billion purchase of Figma. In 2022, the U.K.’s Competition and Markets Authority pressured Meta into selling Giphy, which it had bought for $400 million.
The transition from the Biden administration and Khan’s FTC to a second Trump presidency has led to some regulatory loosening, but antitrust concerns remain.
Tech companies, convinced of their need to bulk up in AI, have found a workaround.
“This is now a new playbook that companies are going to run,” said Matt Murphy, a partner at Menlo Ventures. “If it’s not cracked down upon, I don’t really blame them.”
Murphy added that companies are getting more explicit in saying, “Let’s just buy exactly what we want and leave the rest behind.” He described the process as “a bit soulless.”
Maintaining a minority stake means the acquirer could avoid triggering an FTC rule that would require a premerger review.
“They’re coming as close as possible to just getting under a majority stake of a company,” said J.B. Branch, an advocate for consumer rights at nonprofit Public Citizen. “They’re doing just about everything they can do without sort of tripping any alarms.”
Regulators aren’t completely in the dark.
The FTC last year opened probes into Microsoft’s Inflection deal and Amazon’s hiring of Adept employees. An FTC spokesperson declined to comment on the status of ongoing investigations or potential probes.

At Windsurf, the sudden departure of co-founders Varun Mohan and Douglas Chen left employees reeling. Wang was among them.
Many staffers at the all-hands meeting had been expecting to hear an announcement about a deal with OpenAI, and some even started filming the session, Wang said. The companies had been in talks about a potential acquisition since the spring.
Those discussions fell apart after Windsurf began pushing for a deal that looked less like a conventional acquisition and more like Meta’s investment in Scale, according to a person familiar with the talks. OpenAI wasn’t interested, said the person, who asked not to be named because the talks were confidential.
OpenAI’s exclusivity period for the potential acquisition expired on May 1, according to another person familiar with the discussions who also asked not to be named because the talks were confidential. Mounting antitrust concerns over Microsoft’s role in the deal, and debates over whether the tech giant would have access to Windsurf’s intellectual property, also stalled the talks, the person said.
Microsoft is a major investor in OpenAI and has pumped billions of dollars into the startup.
Wang said he wasn’t told why negotiations with OpenAI had ended.
The Google news broke on a Friday. Wang’s life changed in a hurry. He said he spent roughly 12 straight hours on the phone with investors, potential buyers and panicked customers. Employees were also barraged with incoming calls from recruiters, he said.
At around 5 p.m., Wang received emails and text messages from the team at Cognition, another AI coding startup that’s best known for its software-building agent called Devin. After a 9 p.m. phone call stretched past midnight, Windsurf’s future began to take shape.
‘You just got abandoned’
The following Monday, Cognition announced it was buying Windsurf’s intellectual property, product, trademark, brand and talent.
Terms weren’t disclosed, but according to TechCrunch, the price was $250 million, or less than 10% the amount that OpenAI was reportedly in talks to pay.
“There’s definitely more motivation now to win than before,” Wang said. “You just got abandoned, now it’s time to prove to the world that you’re still here.”
Three weeks after Cognition’s announced purchase, that company’s CEO, Scott Wu, had more news to share. His startup was offering buyouts to Windsurf staffers who weren’t sold on their new employer.
“Cognition has an extreme performance culture, and we’re upfront about this in hiring so there are no surprises later,” Wu wrote in a post on X.
Windsurf employees who chose to accept the buyout would receive an additional nine months of pay and health care, Wang said. Some underperforming employees were let go, but would receive the same benefits, he added.
“You cannot just have employees that came to try to ride a rocket ship,” Wang said. “You kind of need everybody to be all in.”
For now, Windsurf will continue to exist separately within Cognition, but Wang said he doesn’t know what his job will be in the future as the teams integrate more deeply.
“We’re both CEOs of each entity,” he said. “I’m actually not sure when the entities combine, what the role is going to be.”
That sort of uncertainty isn’t unique to Windsurf.
When Google inked its deal with Character.AI, the search giant’s big win was its hiring of co-founders Noam Shazeer and Daniel De Freitas, who had worked at Google in the past.
At Character, Shazeer and De Freitas wanted to do two things at once: build a foundational AI lab and an AI consumer company. A former Character employee, who was at the company when the deal took place, said he thought the agreement could be beneficial to the startup, because it would allow the company to focus solely on the consumer business.
But many Character employees were drawn to the company because of the founders. Within a month of their exit, up to 10% of the remaining workforce departed, said the former employee, who asked not to be named because the details were confidential.
Dominic Perella, Character’s legal chief who served as the company’s interim CEO after the Google deal, said his company is far from gutted. Besides Shazeer and De Freitas, only a couple dozen researchers left, or about 25% of the company, with 70 employees still remaining, Perella said.
Perella added that the entire product team is still on board, as the company focuses on shipping new features to users rather than training AI models. Consumers use the app to create virtual characters, including for companionship, paying monthly subscriptions along the way.
Character said it now has about 20 million monthly active users, and that, as of June, paid subscribers were up 250% from a year earlier.
“That’s quite different from what you think of when you think of an acquihire,” Perella said.
Perella also said the company set up an escrow account with some of the cash from Google, and will distribute those funds to employees through July of next year, giving them some liquidity from the deal. And, he said, investors and staffers still have the opportunity to profit.
“The company didn’t leave investors or employees high and dry,” he said.
In June, 10 months after the deal was announced, Character named former Meta executive Karandeep Anand as CEO. Anand had been serving as an advisor to the company since the prior summer.
Anand said he views his role as helping Character become the social consumer app of the AI era, comparing it to what Instagram did for mobile and YouTube for the web.
“A founder CEO versus someone who comes in, who takes care of the company – that’s my job,” Anand told CNBC in an interview. “To prove that I can do this better than anyone else.”
A Google spokesperson said in a statement that the company doesn’t agree with the characterization that Character or Windsurf are zombie companies.
Mustafa Suleyman CEO and co-founder of Inflection AI speaks during the Axios BFD event in New York City, U.S., October 12, 2023.
Brendan Mcdermid | Reuters
Inflection employees learned about their company’s deal with Microsoft at a last-minute all-hands meeting in March 2024. Inflection co-founder and CEO Mustafa Suleyman sent a Slack message instructing staffers to gather at a hotel in Mountain View, California, early the next morning, according to a former employee.
That’s where Suleyman, who previously co-founded the AI research lab DeepMind, announced the transaction. Microsoft CEO Satya Nadella also made an appearance to answer employees’ questions, said the person, who asked not to be named due to the private nature of the discussions.
Most of Inflection’s existing employees moved to Microsoft, the person said. But Inflection continued to operate as a stand-alone company, bringing on a new CEO and staff.
Microsoft reportedly paid Inflection around $650 million, according to reports from The Information and Reuters. That capital was used to help pay the startup’s investors and license its technology in a nonexclusive capacity.
The prior year, Inflection was valued at $4 billion in a $1.3 billion investment that included capital from Microsoft and Inflection co-founder Reid Hoffman, a Microsoft board member.
Still, Hoffman said after the sale to Microsoft that the deal was positive for “everyone involved in Inflection AI.” Hoffman is also a partner at venture capital firm Greylock, which was an early investor in Inflection.
“This agreement with Microsoft means that all of Inflection’s investors will have a good outcome today, and I anticipate good future upside,” Hoffman wrote in a post on LinkedIn.
In March, Inflection named longtime tech executive Sean White as CEO. Since losing Suleyman and most of its staff to Microsoft, the company has hired 50 employees and is now focused on building enterprise AI products, according to its website, which says its first offering called Pi is an “empathetic and conversational chatbot.”
Microsoft and Inflection declined to comment.
Amazon’s dealing
Covariant, founded in Berkeley, California, developed AI systems for warehouse robots. Launched in 2020, its backers included leading AI researcher Fei-Fei Li, Meta chief AI scientist, Yann LeCun, and AI pioneer Geoffrey Hinton.
The startup had also signed up roughly a dozen customers eager to use its software, including a sportswear giant and one of the leading meal kit companies, according to a person familiar with the matter who asked not to be named in order to discuss private information.
On a Friday afternoon last August, everything changed. Some of Covariant’s employees were asked to join an emergency town hall meeting where executives tearfully announced that three of the company’s co-founders and roughly 25% of its approximately 120 workers were joining Amazon. As part of the agreement, Amazon bought a nonexclusive license for Covariant’s core technology.
Everyone on the call was told they would not be moving to Amazon, according to three former employees, who requested anonymity to speak freely about the matter.
Those who were joining included co-founder Pieter Abbeel, who was tapped to help lead Amazon’s recently created advanced AI lab in San Francisco. The other two co-founders, Peter Chen and Rocky Duan, would be put to work at Amazon building foundation models for the company’s more than 1 million robots in its warehouses.
Remaining staffers were offered far less attractive options. They could either leave Covariant immediately or stay on for about a month and a half, at which point they’d be able to receive a severance payment, the former employees said.
A “skeleton crew” of about 10% to 15% of Covariant’s workforce is still there, one ex-employee said, calling it a ghost company. Covariant hasn’t published any business updates to its site since the Amazon deal was announced last year.
While Covariant’s founders walked away with substantial payouts, rank-and-file employees were left with far less than they expected to earn when they joined, the former employees added.
In a whistleblower complaint filed in January with the FTC, Department of Justice and Securities and Exchange Commission, a former Covariant employee claimed that the transaction was “deliberately and unlawfully structured” by Amazon to dodge antitrust scrutiny.
The company had reportedly been valued at $625 million in a 2023 funding round. Amazon spent more than $400 million to license Covariant’s technology and bring on senior technical talent at the company, according to the whistleblower complaint, which was viewed by CNBC. That figure includes a final $20 million licensing payment, set to be paid out one year after the deal date, which requires “zombie Covariant staying on life support” until that point, the complaint said.
The transaction terms handicapped Covariant’s ability to seek out future deals, according to the complaint, which was previously reported on by The Washington Post.
Ted Stinson, Covariant’s current CEO and operating chief at the time, said the company had a “decent shot” at landing one or two licensing deals with its remaining technology, according to a transcript of a recorded conversation cited in the complaint.
“But they’ll be single-digit millions, maybe double-digit millions,” Stinson said. “I mean they’ll be a fraction of what Amazon paid is my best guess.”
Stinson didn’t respond to a request for comment.
John Tye, an attorney for the former employee and a former State Department whistleblower, said the Covariant deal and other transactions like it deserve stronger government scrutiny.
“It’s not just a technical, legal matter,” Tye said in an interview. “It affects consumers who use these products. Monopolies are not typically good for the American public.”
Similar to Covariant, San Francisco startup Adept has provided few updates on its work building agentic software since its co-founders and much of its research talent were hired away by Amazon. Less than a year after taking over as CEO of Adept, Zach Brock left for OpenAI, and several employees, including the former product head, have departed for competitors like Anthropic.
Covariant and Adept didn’t respond to CNBC’s requests for comment.
Amazon spokesperson Alexandra Miller said Covariant and Adept continue to serve customers independently. She said that because Amazon’s licensing deal with Covariant isn’t exclusive, “Covariant is free to license its technology to other companies.”
— CNBC’s Jordan Novet contributed to this report.
WATCH: Meta approached Perplexity before massive Scale AI deal

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