The Great AI Equity Gambit: When Your Safety Net Becomes Your Paycheck
Here is where the promise of AI lifts us, and where the mechanism for that lift begins to deceive us. The idea is seductive: what if the American public, instead of being left behind by the AI boom, actually owned a piece of it? President Trump recently endorsed this concept, floating a “partnership” that would give citizens an equity stake in major AI companies. OpenAI’s Sam Altman first pitched the idea in a 2021 blog post, and Senator Bernie Sanders has proposed a 50% tax on stock buybacks.
On its surface, this sounds like a democratic revolution in wealth distribution. It promises to lift millions by turning the nation into a shareholder of the technology that will reshape the economy. But the deception lies in the fine print, and in the fundamental conflict of interest that such a structure creates.
The core problem is not the idea of shared prosperity itself—it is the mechanism. If the U.S. government, or a public trust, holds significant equity in companies like OpenAI, Anthropic, or xAI, it becomes a direct stakeholder in their financial success. This is where the deception begins. As a policy counsel at Public Knowledge warned, any setup that makes the government less inclined to impose safety regulations—because doing so might diminish the value of its own holdings—is a dangerous one. The government’s role as a regulator would be fatally compromised by its role as a shareholder.
Consider the timing. Months before Trump’s profit-sharing comments, he signed an executive order that asks AI companies to voluntarily submit frontier models for government testing. The word “voluntarily” is doing all the heavy lifting. If the government holds equity in these companies, the incentive to keep that testing voluntary—rather than mandatory—becomes almost irresistible. Why would a shareholder impose costly regulations on its own portfolio? This is not a conspiracy theory; it is basic economic logic.
The gap between the two proposals is vast and revealing. Altman’s version is a voluntary gift: OpenAI could donate equity to seed a “Public Wealth Fund.” Sanders’ version is a seizure: a 50% tax on stock, paid in shares. Trump appears to be somewhere in the middle, but the mechanics of either are legally murky. The real question is not if the public should benefit, but who will decide the terms of that benefit.
This is where AI makes us superfluous—not as workers, but as citizens. If the government becomes a major shareholder in the very industry it is supposed to regulate, the public’s ability to demand accountability, safety, and transparency is eroded. The regulatory process becomes a negotiation between the government and its own investment portfolio. The people, who were supposed to be the beneficiaries, become passive observers in a system where their interests are secondary to the financial performance of the AI giants.
The deception is that this structure appears to lift everyone, but in practice, it ensures that the most powerful actors are protected from oversight. The safety net becomes a paycheck, and the regulator becomes a cheerleader. This is not progress; it is a sophisticated form of regulatory capture dressed in the language of democratic ownership.
The only way this works is if the equity stake is structured to explicitly prohibit any influence over safety and regulatory decisions. But no such mechanism has been proposed. Until it is, the promise of public ownership remains a distraction from the real work of ensuring that AI serves humanity, not the other way around.