President Donald J. Trump said Friday that his team is exploring the possibility of the U.S. government taking equity stakes in artificial-intelligence companies [1].
This proposal represents a potential shift in the relationship between the federal government and the private tech sector. If implemented, a public-ownership model could alter how AI development is funded, and who profits from the technology's growth.
Trump announced the initiative on June 5, 2026 [1]. He said the effort is a way to ensure the U.S. remains competitive in the global AI race while providing a broader benefit to the American people.
"We are looking into the idea of the United States taking a stake in AI companies," Trump said [1].
The administration is examining how the federal government might acquire shares in these firms to create a partnership with the public. This approach would differ from traditional grants or regulatory oversight by making the government a direct shareholder in the success of the companies.
"My team is exploring the federal government acquiring shares in AI firms, kind of like a partnership with the American public," Trump said [2].
To further develop this strategy, the president intends to engage directly with industry leaders. He said that he plans to host a meeting with AI executives soon to discuss the specific mechanics of a public-ownership model [3].
Such a move would be an unusual step for the U.S. government, which typically avoids taking ownership positions in private companies unless during extreme economic crises. The goal is to secure a strategic advantage in a sector that is increasingly viewed as critical to national security, and economic stability [2, 3].
“"We are looking into the idea of the United States taking a stake in AI companies."”
A transition toward government equity in AI would signal a move from a free-market approach to a strategic-partnership model. This could potentially align corporate incentives with national interests, but it also raises questions about government interference in private innovation and the legal complexities of managing public shares in volatile tech stocks.
