U.S. officials have talked about obtaining government shares in AI companies.
The notion is sufficiently unconventional that it took a moment to sink in: the U.S. government owning a portion of the companies developing frontier AI. A report by NOTUS indicated that senior officials from the U.S. government have engaged in initial discussions with major AI companies regarding the federal government acquiring stakes in these firms that are central to the technology it is also attempting to regulate.
This notion involves OpenAI, with CEO Sam Altman having spent the past few weeks in Washington advocating for funding for AI testing rather than mandating model approvals. He has discussed the idea of a government stake with high-ranking officials from the Trump administration since the start of the president's second term, as reported by NOTUS, initially presenting it to Donald Trump in early 2025 and bringing it up again with officials recently.
According to the report, these discussions have focused on companies willingly transferring shares to the government instead of the government purchasing them. The proposal includes ideas about how the government could use the returns, with one suggestion being to allocate the proceeds for public purposes, including a dividend for all American households. This framing transforms government ownership of AI into a means of distributing the technology's benefits directly to citizens.
This concept is politically charged, especially given that, according to polls cited by NOTUS, 55% of Americans believe AI will cause more harm than benefit in their daily lives, paired with OpenAI's current corporate structure being scrutinized amid the Musk v. Altman trial regarding its transition from nonprofit to profit.
The public's skepticism shapes how companies are responding. Tech firms are exploring methods to gain the trust of Americans who are hesitant about AI, and a model that offers the public a stake, whether literal or financial, in the potential benefits serves as a response to the criticism that profits are funneling to a select few. From this perspective, the voluntary ceding of shares is as much about managing reputation as it is about fiscal policy.
However, there is a significant structural concern. A government that holds shares in a company it regulates acts as both a stakeholder and an overseer, which critics highlighted as a conflict. The urge to safeguard the value of such investments stands in stark contrast to the obligation to regulate the company, and no amount of framing focused on public dividends completely alleviates this conflict.
Interestingly, this idea finds unlikely support across the political spectrum. Variants of public equity in AI have been proposed from the left, arguing that if the technology displaces many workers, the public should claim a share of the ensuing profits instead of allowing them to benefit solely private shareholders—a concern OpenAI has acknowledged even while Altman downplays the possibility of an AI-induced job crisis.
The convergence of discussions between the Trump administration and progressive proposals about the state holding an interest on behalf of the public highlights the uncertainty surrounding who benefits from AI technologies.
At this stage, the reporting centers on conversations rather than established policies or agreements. The discussions are characterized as preliminary, the transfer of shares as hypothetical and voluntary, and the dividend as just one among several ideas.
Nonetheless, the mere occurrence of these discussions illustrates the significant shift in the relationship between the U.S. government and the AI industry—from distant regulation to a potential situation where the state could become a co-owner of the technology it is tasked with overseeing.
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U.S. officials have talked about obtaining government shares in AI companies.
According to NOTUS, senior U.S. officials have initiated preliminary discussions with AI companies regarding the government purchasing stakes, a concept that Sam Altman has suggested since 2025.
