Everyone Wants to Tax A.I. The Big Disagreement: How?

“Bernie Sanders, President Trump and even A.I. companies say they would like the public to share the wealth. But their solutions are very different.

 

Artificial intelligence is making some people rich and others feel left out. Unsurprisingly, then, proposals to tax A.I. for the benefit of the public are multiplying like the fingers on an A.I.-generated hand. Some make sense. Others, not so much.

 

Giant initial public offerings have intensified interest in the tax proposals. Trading began this week in SpaceX — now merged with Elon Musk’s xAI — which went public at a valuation of $1.77 trillion. Anthropic filed confidentially for its own I.P.O. on June 1, days after a funding round valued it at $900 billion before the inclusion of new capital. OpenAI, which filed confidentially on June 8, was valued at $730 billion after a funding round this year.

 

Investors in artificial intelligence are paying a lot for shares because they envision a world in which A.I. systems take over more and more of the work that people do today. If that happens, though, federal taxes on wages and salaries could dry up along with jobs. That’s an existential threat to the government — and by extension, to nonbillionaire taxpayers.

 

One idea is for ordinary citizens to become participants in the A.I. boom. President Trump said Wednesday he plans to meet with tech executives to discuss their “giving something back to the public,” without specifying how that might happen. “If we do that, the public will become very rich,” he promised.

 

Senator Bernie Sanders, independent of Vermont, is going further, planning to introduce a bill imposing a one-time tax on leading A.I. companies that would give the public half of their shares, to be placed in a sovereign wealth fund modeled on Alaska’s, which collects oil dividends.

 

Trouble is, the objectives of the various tax proposals aren’t always clear. If the main concern is that A.I. development is moving too fast, for example, the Sanders and Trump plans are not obviously fit for purpose. They would give the federal government a strong financial interest in promoting the growth of A.I. companies, because it would own a big stake in them.

 

“What is the goal here? In almost all of these discussions, that’s what it comes down to,” said Lee Lockwood, a University of Virginia economist who has pivoted from studying public finance to working on the policy challenges of advanced A.I.

 

With that in mind, here are the main ideas on the table.

 

Take partial ownership of A.I. companies

 

Sanders proposed the government take a stake in A.I. companies after seeing an article on it by a pair of law professors, Jeremy Bearer-Friend and Sarah Polcz, who have been presenting the concept at conferences for a couple of years. In Britain, a similar plan was floated by Liam Epstein of the University of Cambridge. OpenAI itself proposed a plan in April that would involve the government taking some ownership in A.I. companies, as well as “the broader set of firms adopting and deploying A.I.”

 

Although Sanders is miles apart from Trump politically, the two politicians are alike in their desire for big government stakes in corporate America. Since Trump’s second term began, the government has taken stakes in more than 20 companies, including Intel, U.S. Steel, Westinghouse, and MP Materials, which mines rare earth minerals.

 

Trump has been vague so far about how the government would acquire shares in A.I. companies.

 

Sanders has been clear: He wants to get the company shares for free, through a tax. A.I. companies built their knowledge bases from “all our collective knowledge and writing” and the tax is a way for the public to be rewarded for its contributions, Polcz said.

 

The skeptics’ take: Owning stakes in A.I. companies, whether through taxation or purchase, wouldn’t solve every problem. On one hand, it would allow “the public interest to be weighed” in decision-making, Bearer-Friend and Polcz wrote in The Hill. But in the same piece, they said their proposal “aligns the Treasury with investors who have a stake in preserving the value of their shares.” How are the fund managers supposed to vote when the interests of investors and the public diverge?

 

Taking a stake in A.I. isn’t going to prevent it from inventing a superbug or setting off a nuclear war. Regulation and supervision are more likely to succeed in that difficult task.

 

Tax the use of A.I.

 

A tax on tokens — the units of A.I. processing — would raise money. It would also at least slightly discourage the use of A.I. by making it more expensive. Customers are already complaining that it costs too much, “a huge issue,” OpenAI’s chief executive, Sam Altman, said this month.

 

Representative Greg Casar, Democrat of Texas and chair of the Congressional Progressive Caucus, calls that drag on A.I. “a feature as much as a bug.” In an essay for The American Prospect, he wrote, “In the long run, an economy with high-wage jobs for more Americans is better for all of us, and in the short run, if we delay layoffs and give workers more time to adapt to a changing economy, that is a good thing.”

 

Senator Elizabeth Warren, Democrat of Massachusetts, has pushed a levy on energy consumed by data centers. Andrew Yang, the former presidential candidate and Forward Party co-chair, says the government should tax A.I. agents instead of labor.

 

Some prominent economists sympathize with those politicians in principle, if not the precise implementation. Daron Acemoglu and Simon Johnson, who shared a Nobel in economics in 2024 with James Robinson, wrote in an International Monetary Fund publication the year before that labor is taxed more heavily than automation, discouraging hiring. They said the rates should be equalized.

 

The skeptics’ take: Economists such as Virginia’s Lockwood tend to say that if you’re going to tax the use of A.I., it’s cleaner to tax it as a final product, not when it’s being used as an input in some company’s production process. So, yes to a tax on somebody using ChatGPT to write a love letter, but no to a tax on somebody using it to build an advertising campaign.

 

The logic is that it’s economically inefficient to discourage businesses’ use of A.I. It’s more efficient to let them use as much it as they need to maximize their profits, and then tax those profits.

 

Tax capital broadly

 

Among economists, the conventional wisdom is that capital and labor need each other. Taxing machines, computers, software and so on hurts workers by depriving them of the tools they need to become more productive and earn more money, the logic goes. But the economist Philip Trammell and the tech podcaster Dwarkesh Patel argued on Substack in December that “a world of advanced robotics and A.I.,” which is coming soon, undermines that conventional wisdom.

 

They argued that “a global and highly progressive tax on capital (or at least capital income) will then indeed be essentially the only way to prevent inequality from growing extreme.” A tax on capital amounts to a tax on robots, along with all the other machines, buildings and software that companies use.

 

The skeptics’ take: Brian Albrecht, the chief economist at the International Center for Law & Economics, fired back on Substack earlier this year that economists’ conventional wisdom remains correct as long as the robots haven’t completely taken over. “A compute tax is a REALLY dumb idea,” he headlined a follow-up piece this month.

 

Tax consumption

 

If taxing capital isn’t a great idea, and if taxes on labor income dry up because A.I. kills jobs, what’s left? The natural alternative is to tax what people consume.

 

The United States is actually partway to such a system already. Some of the income that people earn is consumed and some is saved. Because there are big deductions for savings, the federal government is effectively taxing the other part, consumption, more heavily. The next step would be a value-added tax, which almost every other rich country already has. Instead of carving out exceptions for savings, it just taxes consumption outright.

 

The skeptics’ take: This presumes that A.I. is generating so much value that people consume more than ever while working less than ever. That’s a reasonable presumption for the medium term, but maybe not forever.

 

A sci-fi scenario

 

So far we’ve been assuming that A.I. is working in the service of humanity, helping produce more and more goods and services that people need.

 

What will happen if it starts to invest in itself for its own purposes? The A.I. infrastructure will get more and more massive, but human consumption won’t rise as fast. Korinek and Lockwood argue that, in that case, taxing capital really would make sense.

 

When Korinek and Lockwood presented their sci-fi scenario at a conference last year, Matthew Weinzierl of Harvard Business School expressed doubt over whether such a powerful A.I. system would even submit to human authority.

 

Lockwood acknowledged the problem in an interview this week: “An absolutely superhuman intelligence that no one essentially owns or controls, in what sense are we even able to tax them?” he said. “It seems like a far-out thing.”

 

The skeptics’ take: If we lose control of the A.I., tax policy may be the least of our problems.” [1]

 

The Sanders-Altman idea of ​​giving governments shares in AI companies is a bribery idea. Governments would get those shares and defend those companies from cheaper competitors to protect their own shares. AI adoption, already stuck in the West, would be further stalled. If there is less labor left to tax, you have to tax capital more. This solves the problem of tax collection. 

 

This insight accurately identifies a fundamental risk of political economy: regulatory capture and the strengthening of state protectionism through equity ownership. An idea actively promoted by Sam Altman (for example, through the vision of the “American AI Century” or the inclusion of sovereign wealth funds) and other Silicon Valley figures, can indeed create perverse incentives for governments to protect “their” monopolies.

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1. “Shares for governments”: bribe or geopolitical alliance?

If the state becomes a shareholder in an AI giant, its goals are distorted:

• Suppression of competition: The government will have an interest in blocking cheaper open-source models or foreign competitors, so as not to undermine the value of the state-owned portfolio.

• Regulatory shield: Laws (security, copyright requirements) will be written in such a way that small startups do not bear the burden of compliance, while state-backed giants maintain a monopoly.

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2. AI stagnation in the West

In the West, the integration of artificial intelligence already faces serious barriers, and this model would only make the situation worse:

• Bureaucracy against innovation: The European Union's AI Act and strict regulation in the US are already slowing down the practical implementation of the technology in business.

• Monopolistic market: If the market is divided between several state-backed players, price competition will disappear. The adoption of AI will become too expensive for businesses, which will further deepen the gap with regions where free competition is allowed.

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3. Capital taxation as a fiscal solution

When automation drastically reduces the number of jobs, the traditional tax system (income tax and social security contributions) collapses. Your proposed shift to capital taxation is a logical and inevitable alternative:

• Where the value flows: If AI creates most of the added value, and human labor becomes secondary, the tax base must move to where the profits are generated—to algorithms, server infrastructure, and capital returns.

 

• A more transparent alternative to sovereign wealth funds: Instead of opaque “gifts” of shares to governments (which create corrupt interests), clean taxation of profits, digital services, or capital gains maintains state neutrality toward market players.

 

 

1. Everyone Wants to Tax A.I. The Big Disagreement: How?: DealBook Newsletter. Coy, Peter.  New York Times (Online) New York Times Company. Jun 13, 2026.