Steyer ties AI disruption directly to public ownership

Tom Steyer is putting artificial intelligence at the center of an economic argument in California’s governor’s race, proposing that the state tax AI companies and use the money to create a sovereign wealth fund. According to remarks described in the supplied source text, the fund would support education, job training, and potentially direct cash dividends.

The proposal stands out because it treats AI not simply as a technology sector issue, but as a broad distribution question: who captures the value created when software can replace human labor at scale, and what should government do in response. In Steyer’s framing, the answer is that the public should have a stake in the upside.

Speaking at a town hall in San Diego on Tuesday night, Steyer argued that AI could displace large numbers of white-collar workers and make it difficult for them to pay bills. He described the technology as something that can enable a computer to replace the thinking of millions of people and transfer their salaries to whoever owns the machine.

An economic case built around job disruption

Steyer’s comments connect present AI debates to an older political failure. He compared the likely labor disruption from AI to the loss of automobile and manufacturing jobs in the Midwest and the broader Rust Belt in the 1970s and 1980s. He said training people for new work was heavily discussed in that era but did not truly happen, calling that failure the single biggest policy mistake of his lifetime.

That historical comparison is central to his pitch. He is not presenting AI as a narrow regulatory problem. He is casting it as the next major economic transition and arguing that California should avoid repeating what he sees as the policy failures of prior industrial change.

In his account, job training is not an afterthought but a primary use of the proposed fund. He said public ownership of the AI transition would help ensure that people struggling to find jobs could be connected to real work and trained to reach it.

“AI as a tool for workers, not a replacement for workers”

One of the clearest phrases in the supplied source text is Steyer’s formulation that AI should be treated as a tool for workers rather than a replacement for workers. That line drew applause from the crowd at the event, according to the report, and captures the political logic behind his proposal.

Rather than rejecting AI outright, Steyer is trying to redefine how its gains are distributed. He is arguing for public participation in the value created by the companies building and deploying these systems. In practical terms, that means taxation tied specifically to AI and a mechanism for redirecting some of those proceeds into public benefit.

He also linked the proposal to a broader warning about inequality, saying the state cannot end up with a tiny number of ultra-rich winners while tens of millions of people struggle to make rent. In the source text, he framed the issue in stark terms, tying California’s scale and cost pressures to the risk that AI wealth could become even more concentrated.

A campaign issue as much as a policy blueprint

The proposal is arriving in an electoral context. Steyer is running to succeed Gov. Gavin Newsom and must first make it through a June primary. The supplied source text says two Republicans were leading in polling at the time of the report, while Democratic candidates such as Steyer had split the vote without a clear frontrunner emerging.

That matters because the AI tax proposal is serving two functions at once. It is a substantive economic idea, and it is a differentiator in a crowded race. Steyer, who is best known as an environmental activist and the founder of Farallon Capital, is trying to position himself as the most progressive candidate in the field.

The report says he supports Medicare-for-All, abolishing ICE, and higher taxes on the wealthy. It also notes that Forbes estimated his net worth at about $2.4 billion, adding a degree of political tension to his support for taxing rich people. In that setting, an AI tax becomes both policy and campaign message: a way to talk about technology, inequality, and state power at the same time.

Why the sovereign wealth fund idea matters

A sovereign wealth fund is a notable choice of vehicle because it implies permanence rather than one-time spending. Steyer is not merely talking about collecting money from AI companies and appropriating it in the next budget cycle. He is arguing for a structure that would hold and deploy value over time, potentially financing education, workforce transition, and direct public payments.

The supplied source text says he has been more specific in recent interviews, but the excerpt provided here stops before those details are fully laid out. Even so, the main architecture is visible: tax AI companies, build a public fund, and use that fund to spread the gains from AI more broadly across the state.

That is a different political language from standard economic development rhetoric. It assumes that AI’s gains may be too concentrated to rely on ordinary tax flows alone, and that the state should establish a more explicit claim on value generated by the sector.

A California test case if the idea advances

California is an especially consequential setting for such a proposal because of its size and its role in the technology economy. The state is home to a vast population and many of the companies most closely associated with AI development. That makes it an obvious arena for a political argument over whether technological change should produce private fortunes alone or a wider public dividend.

The source text does not indicate that the proposal is near enactment, nor does it detail the legal or fiscal design that would be required. What it does show is that a gubernatorial candidate is trying to elevate AI taxation from think-piece territory into campaign politics.

That alone is significant. Steyer is betting that anxiety about AI-driven job loss is concrete enough to support a more interventionist economic response. His answer is not to slow innovation in the abstract, but to insist that the public should share in the returns.

Whether that message gains traction with voters remains to be seen. But the argument itself is now plainly on the table: if AI can replace human labor and concentrate wealth in the hands of those who own the systems, then California, in Steyer’s view, should tax that concentration and recycle part of it into education, retraining, and broader public benefit.

This article is based on reporting by Gizmodo. Read the original article.

Originally published on gizmodo.com