Senator Bernie Sanders' newly proposed American AI Sovereign Wealth Fund Act would impose a 50 percent tax on firms operating data centers and AI services, potentially destroying the competitive edge that keeps the United States ahead in artificial intelligence development. The bill, which would create a $7 trillion fund for direct citizen payments, represents what technology policy experts call the most radical intervention in the AI sector ever proposed in Congress.

What Would the Sanders AI Tax Actually Do?

The bill targets companies with $200 million or more in annual gross receipts that operate data centers, computing infrastructure, AI services, and advanced robotics. The revenue would fund an "Independent Commission for Democratic AI" to manage the wealth-sharing program. But the measure goes further than a simple tax: it would require structural separation of AI businesses from non-AI operations at companies like Dell, IBM, Tesla, Nvidia, and Waymo, giving the government considerable control over how these firms operate.

For AI-focused companies like OpenAI and Anthropic, the impact would be particularly severe. These firms currently operate at a loss while racing to develop more capable systems. According to recently leaked financial reports, OpenAI suffered net operating losses of 237 percent in 2024 and 160 percent in 2025, while Anthropic continues struggling to achieve profitability. The Sanders bill would tax their gross receipts rather than profits, meaning they would lose the ability to reinvest revenue into research and development at the exact moment they need it most to compete with cheaper Chinese open-source AI systems.

How Would This Reshape the AI Industry?

The structural separation requirement creates a fundamental problem: AI is no longer a discrete business unit that can be neatly separated from other services. Modern technology companies have integrated AI throughout their entire operations. Forcing companies to compartmentalize their AI divisions would sever the internal cross-subsidies that currently fund advanced computation research and infrastructure development.

The politicization of AI development represents another major concern. The Independent Commission for Democratic AI would include representatives from labor interests, large fund management, AI safety concerns, privacy interests, and public safety interests. This structure mirrors the Soviet Union's approach to managing strategic industries during the Cold War, when communist central planners created ministries for all sectors deemed strategically important. That system produced massive political corruption and economic misery.

• Market Destabilization: Severing internal cross-subsidies would prevent companies from funding advanced computation systems and facilities that currently drive innovation.
• Profitability Pressure: AI firms losing reinvestment capacity would struggle to compete globally while simultaneously facing a price-cutting battle with Chinese open-source alternatives.
• Political Interference: Government control over AI business decisions would introduce political considerations into market operations, weakening competitive discipline.
• Moral Hazard: Partial public ownership would signal to investors that failing companies might receive government bailouts, reducing market monitoring and accountability.

Why Do Critics Say This Contradicts Sanders' Own Goals?

The contradiction lies in Sanders' simultaneous support for the AI Data Center Moratorium Act, introduced in late March alongside Representative Alexandria Ocasio-Cortez. That bill would impose a federal ban on new data centers until multiple laws ensure AI systems are "safe and effective." Critics argue this regulatory standard is impossible to satisfy, effectively blocking further development.

"It is strange that Sanders believes his new AI sovereign wealth fund will generate an estimated $7 trillion when he is simultaneously looking to block the very engine of AI development," noted analysts reviewing the contradictory proposals.

R Street Institute Analysis

This creates a logical problem: if data center development is frozen, how would the sovereign wealth fund generate the projected $7 trillion in revenue? The two proposals appear fundamentally incompatible.

What's at Stake for American Competitiveness?

The Federal Reserve Bank of St. Louis reported in January that recent investments in AI-related categories contributed significantly to real GDP growth in 2025. The current AI boom has surpassed the contribution of IT components to GDP growth during the dot-com era, both in absolute levels and as a share of total GDP. Economists project that AI firms will remain significant drivers of investment well into 2026 and beyond.

Private AI innovators are currently providing what many economists describe as "a massive private sector stimulus program" that drives economic growth. Disrupting this through government control and taxation could undermine the very foundation of American technological leadership. While some skeptics worry the current AI investment boom represents a bubble that could collapse, the Sanders bill would accelerate that risk by starving companies of the capital needed to prove their business models work.

Steps Policymakers Should Consider Before Supporting AI Wealth Redistribution

• Evaluate Market Track Record: Review the government's historical performance managing private enterprise; even partial public ownership has consistently distorted company incentives and introduced political considerations into business decisions.
• Assess Profitability Timing: Recognize that leading AI firms currently operate at losses while investing heavily in R&D; taxing gross receipts rather than profits would eliminate the reinvestment capacity needed to reach profitability.
• Consider Geopolitical Implications: Examine how regulatory burdens and capital constraints might shift AI development leadership to countries with fewer restrictions, particularly China.
• Analyze Structural Separation Feasibility: Determine whether AI can actually be separated from non-AI business operations in modern technology companies, or whether forced separation would destroy operational efficiency.

The Sanders proposal has drawn interest from figures across the political spectrum, including President Donald Trump and OpenAI CEO Sam Altman, who have explored variations of public stakes in AI companies. However, critics argue that all versions of AI quasi-socialization should be rejected based on the fundamental market disruption they would cause.

As Congress considers this and related proposals, the central question remains: can the United States maintain its AI leadership position while simultaneously imposing the kind of government control and capital constraints that the Sanders bill would introduce? Technology policy experts suggest the answer is no.