Experts raise conflict of interest concerns over Eric Schmidt's private investments into AI startups while he was National Security Commission on AI's chairman
who don't stand to profit from policies they themselves create. https://www.cnbc.com/... @hypervisible : Turns out the “nothing to hide” guy hides some things. https://www.cnbc.com/... Ian Saint / @iansaint_ : ‘As former Google CEO Eric Schmidt wielded enormous influence over the future of U.S. AI policy, he also positioned himself to profit personally from the most promising start-ups.’ https://www.cnbc.com/... Luke Rudkowski / @lukewearechange : So the guy invested and controlling A.I is the one setting the regulations for it?> https://www.cnbc.com/... Walter Shaub / @waltshaub : “If you're going to be leading a commission that is steering the direction of government AI & making recommendations for how we should promote this sector... you really shouldn't also be dipping your hand in the pot & helping yourself to AI investments”—me https://www.cnbc.com/...
Context & Ripple Effects
This report lands at the start of an arc that kept growing: weeks later, follow-up reporting detailed Schmidt's push to profit from an AI cold war framing, citing CB Insights figures showing he took part in investing $2B+ across AI-focused companies while his commission shaped U.S. strategy against China.
By year-end, [[a:986142|an investigation found Schmidt-funded salaries for more than two dozen Biden administration officials]] via the Federation of American Scientists and Schmidt Futures, and Politico later documented the same playbook at Dustin Moskovitz's Open Philanthropy, which pays salaries of congressional and agency staff focused on long-term AI risk. The CNBC piece is the first-order conflict allegation; everything after it maps how deep private money runs through federal AI policymaking.
First-order effects
- Ethics experts, including former Office of Government Ethics head Walter Shaub, publicly challenge the legitimacy of National Security Commission on AI recommendations that could raise the value of startups in the chairman's personal portfolio.
- Schmidt's dual role — policy author and AI investor — comes under direct scrutiny just as his commission's output carries weight in Washington.
Second-order effects
- Rival influence channels normalize rather than retreat: Open Philanthropy's salary-funding of government AI staff shows peer funders adopting the same access model, forcing a debate over whether disclosure norms apply to philanthropy as well as personal investment.
- Forums where Schmidt still sets agenda — such as the later policy paper he co-authored with Scale AI's Alexandr Wang and CAIS's Dan Hendrycks arguing against a U.S. AGI 'Manhattan Project' — inherit the credibility question raised here.
Third-order effects
- If the pattern holds, AI policy becomes structurally entangled with private capital: Forbes' later look at [[a:866722|internet-era billionaires fighting to determine whether AI's future is concentrated safety or unfettered advancement]] suggests a small set of funders effectively acts as gatekeepers of the field's direction.
- The likely systemic response is formal conflict-of-interest and financial-disclosure rules for AI advisory bodies, since the existing ethics framework was built for officials who hold assets, not chairmen who actively invest in the sector they steer.
The trend: U.S. AI policy is increasingly written by a small circle of billionaire investors whose portfolios, foundations, and funded staff sit inside the machinery of government, making conflict-of-interest governance the next battleground.