About four years ago, former Google CEO Eric Schmidt was appointed to the National Security Commission on Artificial Intelligence by the chairman of the House Armed Services Committee.
It was powerful perch. Congress tasked the new group with a broad mandate: to advise the US government on how to advance the development of artificial intelligence (AI), machine learning and other technologies to enhance the national security of the United States.
The mandate was simple: Congress directed the new body to advise on how to enhance American competitiveness on AI against its adversaries, build the AI workforce of the future and develop data and ethical procedures.
In short, the commission, which Schmidt soon took charge of as chairman, was tasked with coming up with recommendations for almost every aspect of a vital and emerging industry. The panel did far more under his leadership. It wrote proposed legislation that later became law and steered billions of dollars of taxpayer funds to industry he helped build — and that he was actively investing in while running the group.
If you’re going to be leading a commission that is steering the direction of government AI and making recommendations for how we should promote this sector and scientific exploration in this area, you really shouldn’t also be dipping your hand in the pot and helping yourself to AI investments.
Walter Shaub
Senior Ethics Fellow, Project on Government Oversight
His credentials, however, were impeccable given his deep experience in Silicon Valley, his experience advising the Defense Department, and a vast personal fortune estimated at about $20 billion dollars.
Five months after his appointment, Schmidt made a little-noticed private investment in an initial seed round of financing for a start-up company called Beacon, which uses AI in the company’s supply chain products for shippers who manage freight logistics, according to CNBC’s review of investment data in database Crunchbase.
There is no indication that Schmidt broke any ethics rules or did anything unlawful while chairing the commission. The commission was, by design, an outside advisory group of industry participants, and its other members included other well-known tech executives including Oracle CEO Safra Catz, Amazon Web Services CEO Andy Jassy and Microsoft Chief Scientific Officer Dr. Eric Horvitz, among others.
‘Conflict of interest’
Schmidt’s investment was just the first of a handful of direct investments he would make in AI start-up companies during his tenure as chairman of the AI commission.
“It’s absolutely a conflict of interest,” said Walter Shaub, a senior ethics fellow at the Project on Government Oversight, and the former director of the U.S. office of Government Ethics.
“That’s technically legal for a variety of reasons, but it’s not the right thing to do,” Shaub said.
Venture capital firms financed, in part, by Schmidt and his private family foundation also made dozens of additional investments in AI companies during Schmidt’s tenure, giving Schmidt an economic stake in the industry even as he developed new regulations and encouraged taxpayer financing for it. Altogether, Schmidt and entities connected to him made more than 50 investments in AI companies while he was chairman of the federal commission on AI. Information on his investments isn’t publicly available.
All that activity meant that, at the same time Schmidt was wielding enormous influence over the future of federal AI policy, he was also potentially positioning himself to profit personally from the most promising young AI companies.
Institutional issues
Schmidt’s conflict of interest is not unusual. The investments are an example of a broader issue identified by ethics reformers in Washington, DC: Outside advisory committees that are given significant sway over industries without enough public disclosure of potential conflicts of interest. “The ethics enforcement process in the executive branch is broken, it does not work,” said Craig Holman, a lobbyist on ethics, lobbying and campaign finance for Public Citizen, the consumer advocacy organization. “And so the process itself is partly to blame here.”
The federal government counts a total of 57 active federal advisory commissions, with members offering input on everything from nuclear reactor safeguards to environmental rules and global commodities markets.
For years, reformers have tried to impose tougher ethics rules on Washington’s sprawling network of outside advisory commissions. In 2010, then-President Barack Obama used an executive order to block federally registered lobbyists from serving on federal boards and commissions. But a group of Washington lobbyists fought back with a lawsuit arguing the new rule was unfair to them, and the ban was scaled back.
‘Fifth arm of government’
The nonprofit Project on Government Oversight has called federal advisory committees the “fifth arm of government” and has pushed for changes including additional requirements for posting conflict-of-interest waivers and recusal statements, as well as giving the public more input in nominating committee members. Also in 2010, the House passed a bill that would prohibit the appointment of commission members with conflicts of interest, but the bill died in the Senate.
“It’s always been this way,” Holman said. “When Congress created the Office of Government Ethics to oversee the executive branch, you know, they didn’t really want a strong ethics cop, they just wanted an advisory commission.” Holman said each federal agency selects its own ethics officer, creating a vast system of more than 4,000 officials. But those officers aren’t under the control of the Office of Government Ethics – there’s “no one person in charge,” he said.
Eric Schmidt during a news conference at the main office of Google Korea in Seoul on November 8, 2011.
Jung Yeon-je | Afp | Getty Images
People close to Schmidt say his investments were disclosed in a private filing to the U.S. government at the time. But the public and the news media had no access to that document, which was considered confidential. The investments were not revealed to the public by Schmidt or the commission. His biography on the commission’s website detailed his experiences at Google, his efforts on climate change and his philanthropy, among other details. But it did not mention his active investments in artificial intelligence.
A spokesperson for Schmidt told CNBC that he followed all rules and procedures in his tenure on the commission: “Eric has given full compliance on everything,” the spokesperson said.
But ethics experts say Schmidt simply should not have made private investments while leading a public policy effort on artificial intelligence.
“If you’re going to be leading a commission that is steering the direction of government AI and making recommendations for how we should promote this sector and scientific exploration in this area, you really shouldn’t also be dipping your hand in the pot and helping yourself to AI investments,” said Shaub of the Project on Government Oversight.
He said there were several ways Schmidt could have minimized this conflict of interest: He could have made the public aware of his AI investments, he could have released his entire financial disclosure report, or he could have made the decision not to invest in AI while he was chair of the AI commission.
Public interest
“It’s extremely important to have experts in the government,” Shaub said. “But it’s, I think, even more important to make sure that you have experts who are putting the public’s interests first.”
The AI commission, which Schmidt chaired until it expired in the fall of 2021, was far from a stereotypical Washington blue-ribbon commission issuing white papers that few people actually read.
Instead, the commission delivered reports which contained actual legislative language for Congress to pass into law to finance and develop the artificial intelligence industry. And much of that recommended language was written into vast defense authorization bills. Sections of legislative language passed, word for word, from the commission into federal law.
The commission’s efforts also sent millions of taxpayer dollars to priorities it identified. In just one case, the fiscal year 2023 National Defense Authorization Act included $75 million “for implementing the National Security Commission on Artificial Intelligence recommendations.”
At a commission event in September 2021, Schmidt touted the success of his team’s approach. He said the commission staff “had this interesting idea that not only should we write down what we thought, which we did, but we would have a hundred pages of legislation that they could just pass.” That, Schmidt said, was “an idea that had never occurred to me before but is actually working.”
$200 billion modification
Schmidt said one piece of legislation moving on Capitol Hill was “modified by $200 billion dollars.” That, he said, was “essentially enabled by the work of the staff” of the commission.
At that same event, Schmidt suggested that his staff had wielded similar influence over the classified annexes to national security related bills emanating from Congress. Those documents provide financing and direction to America’s most sensitive intelligence agencies. To protect national security, the details of such annexes are not available to the American public.
“We don’t talk much about our secret work,” Schmidt said at the event. “But there’s an analogous team that worked on the secret stuff that went through the secret process that has had similar impact.”
Asked whether classified language in the annex proposed by the commission was adopted in legislation that passed into law, a person close to Schmidt responded, “due to the classified nature of the NSCAI annex, it is not possible to answer this question publicly. NSCAI provided its analysis and recommendations to Congress, to which members of Congress and their staff reviewed and determined what, if anything, could/should be included in a particular piece of legislation.”
Beyond influencing classified language on Capitol Hill, Schmidt suggested that the key to success in Washington was being able to push the White House to take certain actions. “We said we need leadership from the White House,” Schmidt said at the 2021 event. “If I’ve learned anything from my years of dealing with the government, is the government is not run like a tech company. It’s run top down. So, whether you like it or not, you have to start at the top, you have to get the right words, either they say it, or you write it for them, and you make it happen. Right? And that’s how it really, really works.”
Industry friendly
The commission produced a final report with topline conclusions and recommendations that were friendly to the industry, calling for vastly increased federal spending on AI research and a close working relationship between government and industry.
The final report waived away concerns about too much government intervention in the private sector or too much federal spending.
“This is not a time for abstract criticism of industrial policy or fears of deficit spending to stand in the way of progress,” the commission concluded in its 2021 report. “In 1956, President Dwight Eisenhower, a fiscally conservative Republican, worked with a Democratic Congress to commit $10 billion to build the Interstate Highway System. That is $96 billion in today’s world.”
The commission didn’t go quite that big, though. In the end, it recommended $40 billion in federal spending on AI, and suggested it should be done hand in hand with tech companies.
“The federal government must partner with U.S. companies to preserve American leadership and to support development of diverse AI applications that advance the national interest in the broadest sense,” the commission wrote. “If anything, this report underplays the investments America will need to make.”
The urgency driving all of this, the commission said, is Chinese development of AI technology that rivals the software coming out of American labs: “China’s plans, resources, and progress should concern all Americans.”
China, the commission said, is an AI peer in many areas and a leader in others. “We take seriously China’s ambition to surpass the United States as the world’s AI leader within a decade,” it wrote.
But Schmidt’s critics see another ambition behind the commission’s findings: Steering more federal dollars toward research that can benefit the AI industry.
“If you put a tech billionaire in charge, any framing that you present them, the solution will be, ‘give my investments more money,’ and that’s indeed what we see,” said Jack Poulson, executive director of the nonprofit group Tech Inquiry. Poulson formerly worked as a research scientist at Google, but he resigned in 2018 in protest of what he said was Google bending to the censorship demands of the Chinese government.
Too much power?
To Poulson, Schmidt was simply given too much power over federal AI policy. “I think he had too much influence,” Poulson said. “If we believe in a democracy, we should not have a couple of tech billionaires, or, in his case, one tech billionaire, that is essentially determining US government allocation of hundreds of billions of dollars.”
The federal commission wound down its work on Oct. 1, 2021.
Four days later, on Oct. 5, Schmidt announced a new initiative called the Special Competitive Studies Project. The new entity would continue the work of the congressionally created federal commission, with many of the same goals and much of the same staff. But this would be an independent nonprofit and operate under the financing and control of Schmidt himself, not Congress or the taxpayer. The new project, he said, will “make recommendations to strengthen America’s long-term global competitiveness for a future where artificial intelligence and other emerging technologies reshape our national security, economy, and society.”
The CEO of Schmidt’s latest initiative would be the same person who had served as the executive director of the National Security Commission. More than a dozen staffers from the federal commission followed Schmidt to the new private sector project. Other people from the federal commission came over to Schmidt’s private effort, too: Vice Chair Robert Work, a former deputy secretary of defense, would serve on Schmidt’s board of advisors. Mac Thornberry, the congressman who appointed Schmidt to the federal commission in the first place, was now out of office and would also join Schmidt’s board of advisors.
They set up new office space just down the road from the federal commission’s headquarters in Crystal City, VA, and began to build on their work at the federal commission.
The new Special Competitive Studies Project issued its first report on Sept. 12. The authors wrote, “Our new project is privately funded, but it remains publicly minded and staunchly nonpartisan in believing technology, rivalry, competition and organization remain enduring themes for national focus.”
The report calls for the creation of a new government entity that would be responsible for organizing the government-private sector nexus. That new organization, the report says, could be based on the roles played by the National Economic Council or the National Security Council inside the White House.
It is not clear if the Project will disclose Schmidt’s personal holdings in AI companies. So far, it has not.
Asked if Schmidt’s AI investments will be disclosed by the Project in the future, a person close to Schmidt said, “SCSP is organized as a charitable entity, and has no relationship to any personal investment activities of Dr. Schmidt.” The person also said the project is a not-for-profit research entity that will provide public reports and recommendations. “It openly discloses that it is solely funded by the Eric and Wendy Schmidt Fund for Strategic Innovation.”
In a way, Schmidt’s approach to Washington is the culmination of a decade or more as a power player in Washington. Early on, he professed shock at the degree to which industry influenced policy and legislation in Washington. But since then, his work on AI suggests he has embraced that fact of life in the capital.
Obama donor
Schmidt first came to prominence on the Potomac as an early advisor and donor to the first presidential campaign of Barack Obama. Following the 2008 election, he served on Obama’s presidential transition and as a presidential advisor on science and technology issues. Schmidt had risen to the heights of power and wealth in Silicon Valley, but what he saw in the nation’s capital surprised him.
In a 2010 conversation with the Atlantic’s then Editor-in Chief James Bennet, Schmidt told a conference audience what he had learned in his first years in the nation’s capital. “The average American doesn’t realize how much the laws are written by lobbyists,” Schmidt said. “It’s shocking now, having spent a fair amount of time inside the system, how the system actually works. It is obvious that if the system is organized around incumbencies writing the laws, the incumbencies will benefit from the laws that are written.”
Bennet, pushing back, suggested that Google was already one of the greatest incumbent corporations in America.
“Well, perhaps,” Schmidt replied in 2010. “But we don’t write the laws.”
Neptune and OpenAI have collaborated on a metrics dashboard to help teams that are building foundation models. The companies will work “even more closely together” because of the acquisition, Neptune CEO Piotr Niedźwiedź said in a blog.
The startup will wind down its external services in the coming months, Niedźwiedź said. The terms of the acquisition were not disclosed.
“Neptune has built a fast, precise system that allows researchers to analyze complex training workflows,” OpenAI’s Chief Scientist Jakub Pachocki said in a statement. “We plan to iterate with them to integrate their tools deep into our training stack to expand our visibility into how models learn.”
OpenAI has acquired several companies this year.
It purchased a small interface startup called Software Applications Incorporated for an undisclosed sum in October, product development startup Statsig for $1.1 billion in September and Jony Ive’s AI devices startup io for more than $6 billion in May.
Neptune had raised more than $18 million in funding from investors including Almaz Capital and TDJ Pitango Ventures, according to its website. Neptune’s deal with OpenAI is still subject to customary closing conditions.
“I am truly grateful to our customers, investors, co-founders, and colleagues who have made this journey possible,” Niedźwiedź said. “It was the ride of a lifetime already, yet still I believe this is only the beginning.”
A person walks by a sign for Micron Technology headquarters in San Jose, California, on June 25, 2025.
Justin Sullivan | Getty Images
Micron said on Wednesday that it plans to stop selling memory to consumers to focus on meeting demand for high-powered artificial intelligence chips.
“The AI-driven growth in the data center has led to a surge in demand for memory and storage,” Sumit Sadana, Micron business chief, said in a statement. “Micron has made the difficult decision to exit the Crucial consumer business in order to improve supply and support for our larger, strategic customers in faster-growing segments.”
Micron’s announcement is the latest sign that the AI infrastructure boom is creating shortages for inputs like memory as a handful of companies commit to spend hundreds of billions in the next few years to build massive data centers. Memory, which is used by computers to store data for short periods of time, is facing a global shortage.
Micron shares are up about 175% this year, though they slipped 3% on Wednesday to $232.25.
AI chips, like the GPUs made by Nvidia and AdvancedMicro Devices, use large amounts of the most advanced memory. For example, the current-generation Nvidia GB200 chip has 192GB of memory per graphics processor. Google’s latest AI chip, the Ironwood TPU, needs 192GB of high-bandwidth memory.
Memory is also used in phones and computers, but with lower specs, and much lower quantities — many laptops only come with 16GB of memory. Micron’s Crucial brand sold memory on sticks that tinkerers could use to build their own PCs or upgrade their laptops. Crucial also sold solid-state hard drives.
Micron competes against SK Hynix and Samsung in the market for high-bandwidth memory, but it’s the only U.S.-based memory supplier. Analysts have said that SK Hynix is Nvidia’s primary memory supplier.
Micron supplies AMD, which says its AI chips use more memory than others, providing them a performance advantage for running AI. AMD’s current AI chip, the MI350, comes with 288GB of high-bandwidth memory.
Micron’s Crucial business was not broken out in company earnings. However, its cloud memory business unit showed 213% year-over-year growth in the most recent quarter.
Analysts at Goldman on Tuesday raised their price target on Micron’s stock to $205 from $180, though they maintained their hold recommendation. The analysts wrote in a note to clients that due to “continued pricing momentum” in memory, they “expect healthy upside to Street estimates” when Micron reports quarterly results in two weeks.
A Micron spokesperson declined to comment on whether the move would result in layoffs.
“Micron intends to reduce impact on team members due to this business decision through redeployment opportunities into existing open positions within the company,” the company said in its release.
Microsoft pushed back on a report Wednesday that the company lowered growth targets for artificial intelligence software sales after many of its salespeople missed those goals in the last fiscal year.
The company’s stock sank more than 2% on The Information report.
A Microsoft spokesperson said the company has not lowered sales quotas or targets for its salespeople.
The sales lag occurred for Microsoft’s Foundry product, an Azure enterprise platform where companies can build and manage AI agents, according to The Information, which cited two salespeople in Azure’s cloud unit.
AI agents can carry out a series of actions for a user or organization autonomously.
Less than a fifth of salespeople in one U.S. Azure unit met the Foundry sales growth target of 50%, according to The Information.
In another unit, the quota was set to double Foundry sales, The Information reported. The quota was dropped to 50% after most salespeople didn’t meet it.
In a statement, the company said the news outlet inaccurately combined the concepts of growth and quotas.
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“Aggregate sales quotas for AI products have not been lowered, as we informed them prior to publication,” a Microsoft Spokesperson said.
The AI boom has presented opportunities for businesses to add efficiencies and streamline tasks, with the companies that build these agents touting the power of the tools to take on work and allow workers to do more.
OpenAI, Google, Anthropic, Salesforce, Amazon and others all have their own tools to create and manage these AI assistants.
But the adoption of these tools by traditional businesses hasn’t seen the same surge as other parts of the AI ecosystem.
The Information noted AI adoption struggles at private equity firm Carlyle last year, in which the tools wouldn’t reliably connect data from other places. The company later reduced how much it spent on the tools.