Speaking to reporters on Air Force One on June 5, 2026, President Trump said his team is exploring ways for the US public to gain ownership stakes in leading AI companies like OpenAI, Anthropic and SpaceX. Follow‑up coverage on June 7 details concepts ranging from a public wealth fund financed in stock to voluntary equity transfers from AI labs to the US government.
This article aggregates reporting from 5 news sources. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
Trump’s “AI wealth plan” is the most muscular proposal yet to formally tie frontier AI firms to the US state. Between the original NOTUS/Reuters scoop that senior officials have discussed government equity stakes in OpenAI, Anthropic and other labs, and Trump’s own description of making the public “partners” in trillion‑dollar AI IPOs, this looks less like a rhetorical flourish and more like a live policy option.([fidelity.com](https://www.fidelity.com/news/article/default/202606042005RTRSNEWSCOMBINED_KBN3S7009-OUSBS_1?utm_source=openai)) It would mark a dramatic shift from the current model where private investors capture nearly all upside from foundational AI infrastructure built atop public research and subsidized compute.
For the race to AGI, public stakes could cut both ways. On one hand, a sovereign or “public wealth” fund owning slices of key labs might stabilize funding, align firms with national objectives, and make it politically harder to shut down aggressive scaling programs. On the other, direct government ownership invites heavier scrutiny, formal safety conditions, and geopolitical entanglement—especially if rival states respond with their own national champion models. A US stake in multiple labs would also hard‑wire the current frontier players into the system, raising barriers for new entrants and smaller open‑source ecosystems.
Most importantly, this debate acknowledges that AGI‑path companies are now systemically important, not just hot startups. Once the public literally owns part of the AGI stack, questions about who sets training limits, what counts as acceptable risk, and how to share gains become matters of democratic politics, not just boardroom strategy.