AI Jobs & Wealth: How Sanders' Sovereign Wealth Fund Proposal Impacts Markets

As the artificial intelligence market prepares to expand nearly sixfold over the next decade, a major political and economic debate is taking shape regarding who will actually benefit from the technology's massive economic output. Senator Bernie Sanders has introduced legislation that would fundamentally alter the ownership structure of the AI industry by requiring companies to transfer half of their stock to a government-run sovereign wealth fund. This proposal arrives at a critical juncture, as the White House attempts to navigate a complex landscape where tech giants are simultaneously driving innovation and facing intense scrutiny over workforce reductions.

The financial stakes driving this debate are enormous. The US AI market is projected to surge from $173.56 billion in 2025 to $976.23 billion by 2035, while the global AI market expands from $130 billion in 2023 to nearly $1.9 trillion by 2030 . Wealth has risen 70% since late 2022, with the top 1% capturing a disproportionate share of these gains . This concentration fuels arguments for government ownership of AI companies as a path toward equitable economic outcomes. Sanders' proposal would use a one-time 50% stock tax on large AI companies to build a $7 trillion fund, aiming to ensure that the public participates in AI's economic boom as the technology reshapes labor markets .

What Is Bernie Sanders' AI Sovereign Wealth Fund Proposal?

Senator Bernie Sanders introduced legislation in June 2026 calling for AI companies to transfer 50% of their stock to a sovereign wealth fund, a government-run investment vehicle designed to distribute AI-generated economic benefits to all Americans . The proposal arrives as concerns mount over AI-driven economic disruptions, with approximately 70% of Americans surveyed supporting the measure .Sanders' legislation aims to create government oversight of AI companies while ensuring public participation in AI's economic boom as the technology reshapes labor markets and concentrates wealth .

The timing aligns with growing warnings from the scientific community. On July 13, roughly 200 economists and computer scientists, including 16 Nobel laureates, issued a stark alert that AI may become radically more powerful over the next 10 years . Their letter cautioned that AI could bring large-scale job displacement alongside potential gains in living standards, calling for AI use that complements humans and benefits society . These warnings underscore the urgency behind efforts to mitigate disruptive impacts of AI before they fully materialize.

Within the United States, Alaska's Permanent Fund provides the most relevant template for this type of wealth distribution. The $91 billion fund has accumulated oil revenue surpluses since 1976, becoming completely integrated into Alaska's state revenue system . Since 1982, it has distributed annual payments to Alaska residents age 1 and older, with payout mechanisms delivering more than $3,200 per recipient in 2022 and $1,200 set for 2026 . The fund helps Alaska buffer state finances when oil prices drop, demonstrating how sovereign wealth funds can stabilize economies facing volatile revenue streams .

Why Are Companies Blaming AI for Layoffs?

While politicians debate the macroeconomic implications of artificial intelligence, a contentious narrative is unfolding on the ground regarding how companies are communicating workforce reductions to investors and the public. Michael Kratsios, President Donald Trump's science and technology advisor, said during a recent episode of the 'Moonshots with Peter Diamandis' podcast that some companies are using AI as a heat shield for layoffs .

Kratsios stated, 'I think like a lot of folks these days like when they're doing a layoff that they would have done anyway, just like to assign it or blame it to AI because it plays better in the press' . Host Peter Diamandis added, 'And their stock price goes up if they are, you know, producing more revenue with fewer people.' Kratsios agreed with that assessment as well, noting, 'Precisely. Yeah' .

The notion of so-called 'AI-washed' layoffs has gained currency among many AI executives, who have lamented companies citing AI when informing employees of layoffs. OpenAI CEO Sam Altman noted in February that while there is 'some AI washing where people are blaming AI for layoffs that they would otherwise do,' there is also 'some real displacement by AI of different kinds of jobs' . Business Insider has tracked 17 companies, including Uber, Snap, and Block, that have cited AI in their respective layoff decisions . These announcements come even as some economists question the narrative that AI is already causing mass layoffs, though polls show that Americans have major concerns about AI-related job losses .

What Are the Challenges and Risks of Government AI Ownership?

Translating the Alaska model to AI companies introduces thorny complications around the valuation of AI firms, governance risks, and how public ownership would actually function. Critical unresolved questions include which firms would qualify, how the US government would hold, vote or trade shares, and how to avoid conflicts and political pressure . There's also the risk that government ownership could distort competition, slow innovation, or push Washington into picking winners and losers in the AI sector .

President Donald Trump first floated the concept of a US sovereign wealth fund in February 2025, though his administration has made little progress advancing that specific idea . Instead, the administration has become an active investor across strategic sectors including defense, energy, semiconductors, and critical minerals . Since January 2025, it has struck 30 deals totaling $27 billion, including investments in US Steel and Intel . These investments involve buying stock in private companies, allowing the federal government to benefit from dividends and share price appreciation .

In June, Vice President JD Vance signaled White House support for extending this strategy to include government ownership of AI companies . However, income generated from current US government stock holdings returns to general revenues without any specific use defined upfront . No rules or programs currently exist to direct funds from AI investments specifically toward offsetting negative impacts from AI, including those related to job displacement and income levels . While the sovereign wealth fund concept appeals to many Americans seeking equity in AI's economic boom, analysts generally lean toward taxes, antitrust enforcement, or direct spending instead . The mechanics of implementing Sanders' proposal remain messy once you move past the slogan .