Senator Bernie Sanders' plan to create an American AI Sovereign Wealth Fund would require the nation's leading artificial intelligence companies to transfer 50 percent of their equity to a federally managed investment fund, with the government holding voting shares and board seats. The proposal aims to ensure workers benefit from AI's economic gains as the technology transforms industries. But economists warn the plan faces a fundamental challenge that has plagued government investment funds for nearly a century: how to prevent elected officials from using those assets to pursue political goals rather than maximizing long-term returns.

The idea has popular support. Recent polling shows a majority of American workers back some form of AI public investment fund or dividend, especially as the baby boom generation retires and Social Security faces long-term financing pressure. The appeal is understandable. If AI generates enormous wealth, why shouldn't ordinary citizens share in those gains? Yet the governance question Sanders' proposal raises is far more complex than it initially appears.

What Happened When the U.S. Tried This Before?

The United States has grappled with this exact problem before. When Social Security was created in 1935, policymakers debated whether the program should accumulate substantial reserves and invest them in private stocks and corporate bonds, potentially making the federal government one of the nation's largest investors. Business groups and even some New Deal supporters opposed the idea, fearing that concentrated government ownership would give Washington excessive economic and political power.

Senator Arthur Vandenberg of Michigan, a Republican who supported Social Security itself, pressed the Social Security Board's first chair during Senate hearings about how those reserves might ultimately be invested and what influence government ownership might create over American business. The concerns were not confined to conservatives. Many New Deal supporters also worried about placing enormous financial resources under political control.

The compromise was telling: Social Security reserves were restricted to special Treasury securities rather than private corporate investments. Within four years, Congress largely abandoned the reserve-fund model entirely and shifted Social Security toward pay-as-you-go financing. The episode illustrates how quickly debates over public investment become debates over political power and institutional design.

Can Modern Governance Structures Solve the Problem?

Modern experience shows that government investment funds can be managed responsibly, but only through institutions deliberately designed to separate investment decisions from day-to-day politics. Canada's Pension Plan Investment Board provides perhaps the clearest example. Created by Parliament in 1997, the board now manages more than 700 billion Canadian dollars in assets. Its directors are selected through an independent process emphasizing professional expertise rather than partisan affiliation. The board, not elected officials, appoints management, determines investment policy, and oversees compensation. The fund's assets are legally separated from general government finances, and changing its governing legislation requires broad agreement among Canada's provinces and federal government.

Norway's Government Pension Fund Global, worth roughly two trillion dollars, is widely regarded as the world's best-governed sovereign wealth fund. Yet even Norway continues to face political controversy over ethical investment guidelines, exclusions of particular companies, and parliamentary debates about how the fund should exercise its ownership rights. Even highly professional governance structures remain vulnerable to political pressure.

Why AI Is Different From Oil or Pension Contributions

Sanders' proposal introduces a challenge that earlier sovereign wealth funds largely avoided. Norway's wealth originated in oil. Canada's assets originate in compulsory pension contributions. Artificial intelligence, by contrast, is not a natural resource. Its value depends on continued innovation by private firms operating in highly competitive global markets.

That distinction matters because policies affecting ownership also influence incentives. Firms and investors respond when governments target particular industries through taxation, regulation, or ownership. Such policies may reduce investment, discourage entrepreneurship, encourage activity to move elsewhere, or slow innovation. Those effects may be modest in some industries, but they could prove considerably more important for artificial intelligence because AI is a general-purpose technology whose applications extend across nearly every sector of the economy.

How Government Ownership Could Affect AI Innovation

The leading AI firms occupy central positions within a rapidly evolving innovation ecosystem. Their investments generate spillovers benefiting thousands of downstream firms and consumers. Consider the key risks that economists identify:

• Reduced Founder and Employee Incentives: If government seizes substantial equity stakes, founders and key employees may have less motivation to take risks or work at maximum capacity, potentially slowing the pace of AI breakthroughs.
• Discouraged Private Investment: Venture capitalists and other investors may be less willing to fund AI startups if they know the government could claim half their equity gains, reducing the flow of capital into the ecosystem.
• Brain Drain to Other Countries: Talented engineers and entrepreneurs may relocate to countries with more favorable ownership and tax policies, weakening America's competitive position in AI development.
• Slower Technological Progress: If policies substantially alter incentives for innovation, they risk affecting not only the profitability of existing firms but also the pace of technological progress itself, which ultimately determines productivity growth and living standards.

Economic security ultimately depends on productivity growth. A society with more retirees can maintain rising living standards only if workers and firms continue becoming more productive. If public policy unintentionally reduces the incentives that generate innovation, it may shrink the very source of wealth policymakers hope to share.

"The central challenge is not accumulating public wealth. It is designing institutions capable of managing that wealth while limiting political interference and preserving the incentives that generate economic growth," noted economists analyzing the proposal.

Dora Costa and Matthew Kahn, Hoover Institution

Sanders' proposal reflects genuine concerns about inequality and the need to fund retirement security as demographics shift. But the historical record suggests that the real difficulty lies not in the goal of sharing AI's gains, but in creating governance structures that can do so without undermining the very innovation that generates those gains in the first place.