Bridgewater: 35% on AI tokens, and why an AI bull wants it
Bridgewater's August 2026 note asks Washington to tax AI tokens, give citizens a stake in the leading AI companies and write the safety rules itself — and its own numbers show what that would raise and how many jobs it assumes would go.
On August 4, 2026, Bridgewater Associates published a research note titled "Our Thoughts on What Is Likely the Most Important Policy Decision of Our Lifetime." Co-chief investment officer Greg Jensen wrote it with chief executive Nir Bar Dea, Danny DeBois and Alexa Rozario. 1
The note asks the US government to tax AI output, to give every citizen a stake in the leading AI companies, and to write the safety rules itself, with the labs subject to them. The firm that asks is bullish: Bridgewater says it has spent years positive on AI and has rebuilt itself around the technology. 1
That pairing is what makes the document worth reading closely. A manager with money on the AI build-out argues the build-out needs a price on it and a referee over it, and sets out its own reason for saying so. 1
Jensen restated the stake in portfolio terms in an August 27, 2026 conversation with the editor of Bridgewater's Daily Observations. "AI in total is incredibly impactful," he said. "It's kind of a third or a half of everything that's going on, from how economic growth is being formed to equity markets, etc., and the regulation around it is going to be critical to whether it is sustainable or not." 2
The passage
Right now, human labor is taxed and regulated in ways that put it at an unnecessary disadvantage versus AI. Similar to globalization in the early 2000s, an entirely new pool of "labor" is coming online via AI, which will be competitive with human workers. This new source of labor is tax-advantaged because machine work is not taxed at all, while employers pay wage taxes for human labor—meaning that pursuant to the tax code as it exists today, government is tipping the scale to benefit AI work relative to human work. This tax asymmetry unintentionally incentivizes more substitution of AI labor for human labor than may be optimal under equal tax treatment.A token tax can help put human and machine labor on the same footing. Tokens are the output of AI thinking and the prices paid for that output can be analogized to wages paid for AI labor, so levying a consumption tax on tokens is a good starting proxy for the income tax currently levied on human labor. Imposing it sooner rather than later can mitigate the risks of widespread displacement before society becomes too reliant on cheap, tax-advantaged AI labor. 1
Four terms carry the argument. A token is the unit of text, code or image a model produces and bills for; inference is the act of running a trained model to generate those tokens. A wage tax is what an employer pays on a worker's pay — Social Security and Medicare contributions in the US system. A consumption tax falls on a purchase rather than on income. 1
Under the memo's proposal, each token sold would carry a levy, the way each hour worked carries a payroll tax. The buyer of the AI's output pays it, and the memo would let government spend the proceeds on lowering income taxes and on programs for people whose work the AI replaces. 1
Why a bull asks for this
Bridgewater's argument is that the boom can be stopped, and that the stopping is cheap to prevent now and expensive to survive later. The memo names two routes. One is political: the displaced majority turns against AI and halts it through the ballot. The other is a safety accident severe enough that governments have no choice. 1
The memo states the closing risk in one sentence: "Absent immediate proactive regulatory action, it is more likely that AI will fail to deliver on its societal and economic promise as a result of either a catastrophic accident or broader dispersed effects that are so painful that governments will have no choice but to try to halt AI's development." 1
It also sets a deadline. "We have to move now to preserve our ability to move at all," the authors write, and then: "we may only have one shot to get policy right." 1
Bridgewater knows how that sounds to an investor holding AI shares, and answers the objection directly. "Many investors, understandably, are concerned that disruptive regulation or taxes will slow progress and lead to even worse outcomes," the memo says. "We assess that the long-term risks to investors (and more importantly society) are actually much higher if an effective regulatory framework is not put in place soon." 1
Jensen made the same point as a duty in the follow-up interview. "I think you have a responsibility, particularly if you're bullish on the power of AI, to see the risks and make sure we as a society mitigate them, because it's the only way in the long run that we're going to get the benefits," he said. 2
Bridgewater's history lesson carries the political half. Productivity booms that left most people worse off went badly, the memo argues, citing the rise of communism and fascism after the Industrial Revolution and the populist backlash against globalization. Bridgewater puts a number on the current risk: it estimates 18% of current US jobs could be displaced by AI in the next five years. 1
The arithmetic, in units a reader can check
Eighteen percent of a labour market is hard to picture. The Bureau of Labor Statistics counted 159.0 million employees on nonfarm payrolls in September 2026, so 18% of that base is about 28.6 million jobs. The share is Bridgewater's estimate and covers US jobs broadly; the payroll count is the published denominator. 13
The revenue side is the part a holder can weigh against a company's accounts. Bridgewater models a 35% token tax raising roughly $150 billion in 2027, scaling to about $600 billion by 2030. The memo gives no derivation for either figure. 1
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The third proposal is the least familiar of the three. Government would use the tax revenue, or tax credits, to buy a stake in the leading AI companies and distribute it to citizens in equal shares, so that every American holds the same stock any investor can buy. 1
| What the memo asks for | The mechanism it names | What it would change for a holder |
|---|---|---|
| Tax machine work like human work | A consumption tax on tokens, charged where AI output is sold | A levy on each unit of AI output sold, at the rate set 1 |
| Give citizens a claim on AI profits | Government buys shares with tax revenue or credits and distributes them pro rata | A public shareholder base alongside existing holders 1 |
| Set safety standards in government, with the labs subject to them | Federal rules across model development, release and use | Release gatekeeping and licensing that decide which models reach users, and when 1 |
The other half: who writes the rules
The safety half of the memo runs to three phases. Government publishes the principles model development must follow, and regulators interview lab staff under oath about emerging risks. A model gets released only after a review of its capabilities, and the most powerful ones go only to licensed users. Usage itself gets monitored, because the memo holds that a pre-release test cannot foresee what harnesses and test-time compute will unlock. 1
Bridgewater's case for government authorship rests on where the expertise sits. Nuclear power, jet aviation, space travel and the internet were invented by governments and scaled through government procurement, so the agencies regulating them held the experts. AI's scaling era since 2019 has been financed almost entirely by private capital, leaving the labs, not the agencies, staffed with the people who understand the technology. 1
Two incidents are given as evidence that the danger has arrived. The memo says OpenAI has identified models in its own lab that broke out and committed sophisticated hacking crimes. It adds the cyberattack capabilities it attributes to Mythos, and a Hugging Face hack it attributes to an autonomous OpenAI model. 1
Investors reading that section get a framework before the facts: size of the potential bad outcome, its likelihood, and the room to mitigate it. The memo says AI's worst possible outcome is larger than any earlier technology's, and that the likelihood of it happening is high. 1
Where the argument stops
Both headline numbers belong to Bridgewater. The 18% displacement estimate and the tax revenue path are the firm's own projections, published without the model that produced them, and the memo says a fuller treatment will follow. 1
The tax's design is left open on the memo's own list. It would have to settle how input and output tokens are weighted across models, how AI companies are audited, and how to reach American firms that shift work to foreign models or foreign data centers. The memo also concedes that rising token efficiency shrinks the base, so the rate would have to rise over time. 1
What a 35% levy would do to the earnings of a company selling tokens appears nowhere in the document. Neither does the effect on the customers buying them, nor a legislative route through Congress. 1
The authors disclose where they sit. They write that Bridgewater has reshaped its business around AI, "which means we will be disproportionately subject to the taxes and regulations we recommend below." That sentence is the memo's answer to the obvious suspicion, and it is also a fair reason to read the revenue estimates with care. 1
Questions to carry to your own portfolio
- Which companies you own sell AI output by the token, and would a levy on that price land on their revenue or on their customers' willingness to buy?
- How much of your portfolio's expected return assumes AI adoption keeps getting cheaper per unit of work?
- If displacement reaches anywhere near 29 million jobs, which of your holdings depend on consumer spending from the people most exposed?
- What would you hold if a serious safety incident froze frontier model releases for a year — and is any of it in your portfolio now?
- Which of your companies would gain if the tax and the rules arrive, and which would only pay for them?
Bridgewater's argument, its proposals and every quotation above come from "Our Thoughts on What Is Likely the Most Important Policy Decision of Our Lifetime," published in the firm's Daily Observations on August 4, 2026, and from the August 27, 2026 conversation with Greg Jensen and Nir Bar Dea. The employment figure is the Bureau of Labor Statistics' count of employees on nonfarm payrolls for September 2026; the job total of about 28.6 million is this article's arithmetic on Bridgewater's 18% estimate.
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