OpenAI is exploring an unprecedented deal with Washington: handing the U.S. government a direct equity stake in the company worth more than $40 billion, according to people familiar with the discussions cited by the Financial Times.
At the heart of the proposal is a 5% share in OpenAI. Based on the firm’s roughly $852 billion valuation from its March funding round, that stake would be valued at around $42.6 billion. The idea is being presented by CEO Sam Altman as a way to ensure that ordinary Americans benefit materially from the economic boom he expects advanced AI to generate.
Altman has discussed the plan directly with President Donald Trump, Commerce Secretary Howard Lutnick, and Treasury Secretary Scott Bessent, the Financial Times reported. In those conversations, he has framed the offer as a new model for how governments can participate in, and help steer, the AI revolution rather than simply regulating it from the sidelines.
A sovereign wealth-style fund for AI
The blueprint borrows from the logic of sovereign wealth funds, in particular the Alaska Permanent Fund. Created in 1976 to invest surplus oil revenues, the Alaska fund channels returns back to residents via annual dividend payments. Altman’s pitch adapts that framework for the digital era: instead of oil, the underlying resource is AI; instead of state-level benefits, the upside could flow to citizens nationwide.
Under such a model, the U.S. government would own a minority slice of OpenAI and use the dividends or capital gains to support broad-based public payouts or national priorities. The move would, in effect, treat leading AI companies as strategic national assets whose returns should not be captured solely by private investors and corporate shareholders.
Altman wants other AI giants to follow
The proposal is not limited to OpenAI. Altman has pushed the idea that every major AI company should allocate a comparable equity stake to the U.S. government. In his telling, this is the most straightforward way to align the fortunes of frontier AI developers with the economic well-being of the population at large.
If adopted broadly, that would represent a systemic redesign of how cutting-edge tech is financed and how its benefits are distributed. Rather than relying on tax revenue alone, the government would participate directly in the upside of corporate growth, much like large institutional investors or pension funds.
Why OpenAI is making this move now
The timing of the offer is not accidental. OpenAI sits at the center of an increasingly heated policy battle over the risks and rewards of AI: from job displacement and misinformation to national security, competition, and data control. By proposing a direct ownership stake, the company appears to be signalling that it is willing to share both economic gains and, implicitly, some degree of strategic alignment with public interests.
A government shareholding could also be seen as a political hedge. As lawmakers sharpen their scrutiny of AI firms-examining everything from model safety to antitrust issues-offering taxpayers a financial interest creates an argument that the company’s success is now tethered to the national interest, not just to venture capital funds and corporate partners.
What a 5% government stake could mean in practice
A 5% holding would not give Washington control over OpenAI’s day-to-day operations, but it would not be purely symbolic either. Depending on how the deal is structured, such a stake could:
– Entitle the government to a proportional share of profits or dividends.
– Provide voting rights on some corporate matters, unless structured as a non-voting class.
– Embed conditions related to governance, safety, or national security oversight.
– Serve as collateral or a benchmark in broader industrial policy for AI.
The key unknown is how much influence, if any, the U.S. would demand in exchange for taking on that role-and whether OpenAI’s existing investors and board would accept any dilution of their power.
Potential benefits for U.S. taxpayers
If the plan moved forward and OpenAI’s valuation continued to climb, the financial impact could be meaningful:
– Direct financial returns: Appreciation of a $42.6 billion stake could translate into tens of billions in gains over time. These could be channeled into public programs, deficit reduction, or some form of citizen dividend.
– Shared upside from AI productivity: As AI reshapes labor markets and business models, a government equity position could function as a partial offset to job losses or wage pressure, providing a new revenue stream for adjustment programs, retraining, or social insurance.
– Strategic leverage: Equity ownership offers a more durable form of involvement than short-term subsidies or grants, potentially giving the state a voice in questions of critical infrastructure, national security applications, and export controls.
In a climate where many voters view “Big Tech” as extracting value without giving much back, a structure that hard-wires public benefit into corporate success could be politically attractive.
Risks and political flashpoints
The idea, however, is almost guaranteed to spark controversy.
Critics are likely to raise concerns about:
– Government overreach: A direct stake in a flagship AI company could be framed as a step toward state capitalism, blurring the line between regulator and market actor.
– Conflicts of interest: If Washington becomes a shareholder, it may be harder for agencies to regulate OpenAI-or its rivals-impartially. Any decision that harms OpenAI’s value could be portrayed as the government hurting its own investment.
– Market distortion: A special relationship with one AI firm might tilt the competitive field. Rival companies could argue that OpenAI now enjoys implicit state backing, from reputational benefits to potential preferential treatment in public-sector contracts.
– Precedent-setting: Once the government holds a sizeable stake in one leading tech firm, pressure could mount to demand similar arrangements in other critical industries, from chips and cloud computing to biotech.
Balancing the desire to share in AI’s upside with the need to maintain a fair, open market will be one of the central policy dilemmas if such a plan advances.
How this differs from traditional tech regulation
Historically, the U.S. government has shaped emerging tech largely through regulation, research funding, procurement contracts, and antitrust enforcement-not by owning pieces of private companies. Even in strategic sectors such as defense and aerospace, Washington tends to act as a powerful customer rather than a shareholder.
Altman’s proposal inverts that logic. Instead of only taxing and policing AI firms, the state would be embedded in their capital structure. The move would make the U.S. not just a rule-maker, but a partial owner of one of the main platforms driving the AI wave.
That shift raises fundamental questions: Can a government be both referee and player on the same field? And can such a dual role be managed without eroding trust in either the market or the regulatory system?
Implications for other AI and tech giants
If the Trump administration took up OpenAI’s offer, pressure could grow for other AI leaders to offer comparable stakes. Cloud providers, model labs, chipmakers, and data-rich platforms might all find themselves drawn into negotiations about equity contributions or equivalent mechanisms.
Potential outcomes include:
– A de facto national AI fund: Aggregated holdings in multiple companies could resemble a broad technology sovereign wealth fund, spreading risk and tying the federal balance sheet to the sector’s long-term performance.
– International ripple effects: Other governments watching Washington’s move could adopt similar strategies, acquiring positions in domestic or even foreign AI champions to secure national influence and economic upside.
– New corporate strategies: Companies might re-evaluate where they are domiciled, how they structure governance, and how they interact with regulators if government ownership becomes part of the policy toolkit.
In the most extreme scenario, a race could emerge in which major economies compete not only to regulate AI, but to own stakes in the companies building it.
The valuation question and concentration of power
OpenAI’s implied valuation of around $852 billion underscores how much capital and influence are accumulating in a handful of AI players. A single-digit stake now translates into a number comparable to the annual budgets of large federal agencies.
That sheer scale amplifies both optimism and anxiety. On one hand, it highlights the enormous potential for value creation from advanced AI models and platforms. On the other, it concentrates economic power-and possibly political leverage-within a small circle of companies and individuals, intensifying calls for ways to socialize at least part of the gains.
Altman’s suggested structure can be seen as an attempt to reconcile those two realities: allowing private innovation and massive valuations to proceed, while carving out a significant slice for the public domain.
What happens next
For now, the proposal remains at the discussion stage. Any agreement would need to overcome major legal, political, and financial hurdles:
– Congress may need to authorize or at least bless a new mechanism for holding and managing such an asset at the federal level.
– Regulators would need to design rules to manage conflicts of interest, transparency, and competitive neutrality.
– OpenAI’s board, existing shareholders, and key partners would have to approve the dilution and accept any conditions attached to government participation.
Even if the specific 5% stake does not materialize, the conversations themselves signal a shift in how AI leaders and policymakers are thinking. The debate is moving beyond how to tax or regulate AI, toward more fundamental questions: who should own the engines of this new technology, and how the resulting wealth should be shared.
In that sense, OpenAI’s offer functions as more than a corporate pitch. It is a test case for whether the U.S. is willing to experiment with new economic models to handle technologies that could reshape productivity, labor, security, and inequality all at once.