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Senator Bernie Sanders speaking at a press conference proposing a USD 7 trillion plan for U.S. government control and regulat

Editorial illustration for Bernie Sanders proposes USD 7 trillion plan for U.S. public control of AI

Bernie Sanders proposes USD 7 trillion plan for U.S....

Bernie Sanders proposes USD 7 trillion plan for U.S. public control of AI

2 min read

Bernie Sanders is betting on a public‑owned AI future. He unveiled legislation that would seize a one‑time, 50 percent tax on the stock of the biggest AI firms—any company pulling in $200 million of AI sales a year would be hit, and the same rate would apply once a newcomer reaches that threshold. The proceeds, Sanders says, would seed a sovereign‑wealth fund worth roughly $7 trillion. From that pool, “hundreds of billions of dollars annually” could flow into health‑care, education and housing programs, while each American might collect more than $1,000 a year in 5 percent dividends.

But the plan does more than write checks. It creates a seven‑member, bipartisan Independent Commission for Democratic AI, appointed by the president and confirmed by the Senate, to hold voting shares and block corporate moves deemed harmful to the public. In Sanders’ words, the benefits “cannot simply go to the handful of wealthy corporations.” The proposal, outlined in an AP News summary, pushes the idea of direct public influence over AI corporate decision‑making.

The public has got to have a significant seat at the table to make sure that terrible things do not happen to ordinary people, and that in fact, AI benefits ordinary people, not hurts them,” Sanders told AP News.

Why this matters Sanders’ $7 trillion proposal would reshape how AI profits are distributed, channeling a massive one‑time levy into a sovereign wealth fund meant to give the public a stake in the industry. If enacted, developers could find a new fiscal environment where a portion of revenue is earmarked for public ownership, potentially altering investment calculations and R&D budgeting. Founders may need to navigate additional regulatory layers that prioritize collective benefit over pure market returns.

Researchers might see more publicly funded projects, but also face constraints tied to oversight of a fund that represents taxpayers. Yet the plan faces steep political headwinds; a Republican‑controlled Congress, described as largely pro‑AI industry, makes passage unlikely. Sacks’ comment hints at a preference for voluntary public‑ownership schemes rather than mandatory expropriation, suggesting any compromise could be modest.

Consequently, while the proposal signals a growing appetite for public control, its practical impact remains uncertain, and we should monitor how the debate evolves before adjusting our strategies.

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