Senator Bernie Sanders Proposes American AI Sovereign Wealth Fund Act

The American AI Sovereign Wealth Fund Act

Senator Bernie Sanders has proposed the American AI Sovereign Wealth Fund Act, a legislative effort to give the American public a direct ownership stake in the largest artificial intelligence companies. The proposal argues that because AI is trained on the "collective intelligence" of humanity—including books, art, journalism, and code—the wealth it generates should benefit the public rather than a small group of billionaires and venture capitalists.

Mechanism of Public Ownership

The proposed legislation would establish a sovereign wealth fund through a one-time 50 percent tax paid in company stock, rather than cash profits. This equity transfer would target the largest AI firms, such as OpenAI, Anthropic, and xAI.

This ownership structure is intended to achieve two primary goals:

  1. Democratic Governance: By holding voting shares and securing equal representation on corporate boards, the federal government would be able to block decisions that harm citizens and advocate for policies that benefit the public.
  2. Wealth Redistribution: The fund would generate trillions of dollars to provide direct payments to American citizens and fund essential services, including healthcare, education, and housing.

Precedents for Sovereign Wealth Funds

Senator Sanders cites several existing models to justify the feasibility of this approach:

  • Norway: The Norwegian sovereign wealth fund, funded by oil wealth, is currently valued at over $2 trillion and is used to improve the general quality of life for its citizens.
  • Alaska: The Alaska Permanent Fund was created 50 years ago from oil revenues and provides annual dividends directly to residents.
  • US Public Pensions: State-level public pension funds already hold hundreds of billions of dollars in various American corporate stocks.

Technical and Economic Critique

While the proposal frames AI as a public resource, it has sparked significant debate among technical and economic commentators regarding property rights, incentives, and governance.

Property Rights and Expropriation

Critics argue that seizing 50% of private companies without compensation constitutes expropriation or theft. Some suggest that if the government wishes to acquire equity, it should use legal mechanisms like eminent domain or provide financial compensation, similar to the US government's 10% stake in Intel. There is a concern that such a move would create a "chilling effect" on the private sector, potentially leading to massive capital flight and reduced investment in the United States due to the erosion of strong property rights.

Governance and Political Risk

Opponents of the bill express concern over the concentration of power. If the government holds a controlling or veto-capable stake in AI companies, the technology could become a tool for political whim.

"Imagine what a red/blue administration would do with complete control of those AI capabilities."

Furthermore, some argue that government ownership often leads to inefficiency, regulatory capture, or the temptation to intervene when a company loses value, which could stifle the very innovation the technology requires.

The "Collective Intelligence" Argument

The core justification for the act—that AI is built on stolen human knowledge—is a point of contention. Some agree that the lack of compensation for training data is a "catastrophic negative externality" that justifies a public tax. Others argue that this is a form of "rent-seeking behavior," suggesting that creating value (generating data) is distinct from capturing value (building a functional AI product), and that the latter requires significant risk and investment that should be rewarded.

Alternative Proposals

Commentators have suggested several alternatives to direct government ownership:

  • Strict Copyright Enforcement: Curtailing training data until companies pay for the intellectual property they use.
  • Digital Co-ops: Creating member-owned server farms and private AI models to decentralize power away from Big Tech.
  • Labor Market Adjustments: Mandating shorter work weeks (e.g., 4 days) to offset AI-driven labor displacement.
  • Market-Based Ownership: Encouraging the public to own AI companies through index funds and ETFs in retirement portfolios, though critics note this provides financial gain without the governance influence Sanders seeks.

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