Imagine a referee buying a stake in one of the teams just before the championship game. That is the uncomfortable parallel now unfolding in Washington as the U.S. government actively seeks equity stakes in the very AI companies it will soon regulate. This isn’t a thought experiment—it’s a policy document leaked from inside the Beltway, suggesting that the government wants to be both the investor and the umpire of America’s most transformational technology.
For someone like me, who spent 2017 dissecting 50 ICO whitepapers in Zurich and Singapore, this feels like déjà vu. Back then, I saw projects promise decentralization while secretly courting venture capital that demanded control. Today, the state itself is asking for a seat at the cap table. But this time, the stakes are not just financial returns—they are the integrity of governance itself.
The context is clear: the U.S. government, through agencies like the U.S. International Development Finance Corporation or the Department of Defense, wants to hold equity in frontier AI labs. Meanwhile, the same government is drafting the rules that will shape AI safety, export controls, and antitrust enforcement. It is a structural conflict of interest that would make any economist wince. Having audited the governance mechanics of Uniswap during DeFi Summer 2020, I learned firsthand that when the entity setting the rules also controls the outcome, trust evaporates. The community becomes collateral—but here, the community is every citizen.
The core of the issue is not about government funding—it is about the eroding independence of regulation. When the state owns shares in OpenAI, Anthropic, or Google DeepMind, its incentive is to maximize the value of those assets, not to enforce strict safety standards that might slow down product launches. During the 2022 bear market, I co-authored a report on neutral infrastructure precisely because we saw how centralized systems fail when their operators have dual allegiances. The same principle applies: a regulator with a portfolio cannot be impartial.
Consider the innovation ecosystem. Government-backed AI startups will enjoy privileged access to compute, data, and talent. They will be the “national champions” that receive preferential treatment in export licenses and compliance reviews. Unfunded competitors, especially in the open-source space, will face a higher regulatory burden and a distorted funding market. This is not a prediction—it is a pattern. In my own work profiling over 50 projects for The Decentralized Ledger, I found that those with government ties consistently adopted conservative roadmaps, avoiding the radical experimentation that drives breakthroughs.
The public trust crisis is the real silent bomb. If citizens learn that the agency reviewing a model’s bias is also hoping for that company’s stock to rise, the legitimacy of the entire AI safety apparatus collapses. As I wrote in my viral 2020 thread on “The Community as Collateral,” trust is not something you claim—it is something you compile, line by line. A regulatory system built on a conflicted foundation will compile a trust bug.
The contrarian argument—that government equity brings stability and long-term capital—misses the point. Yes, state investment can smooth volatility, but at what cost? The volatility we endure in crypto markets is the tax we pay for freedom. A stable AI industry owned by the state is not safer; it is merely more predictable in its submission to political will. During the FTX collapse, I saw how centralized trust can vanish overnight. Government ownership does not eliminate that risk—it just concentrates it in one place, under one political cycle.
The takeaway is not to despair but to build. We do not follow trends; we architect ecosystems. The solution is not to stop governments from investing in AI—it is to ensure that the regulatory function is walled off behind cryptographic proofs and on-chain audits. Imagine an AI regulator whose every decision is timestamped on a public blockchain, and whose financial holdings are disclosed in smart contracts. That is the kind of transparent architecture we need.
The code is open, but the vision is ours to build. If we fail to demand structural separation between state capital and state power, we will end up with an AI industry that looks like a state-owned enterprise—bureaucratic, slow, and politically captured. The community must step in to write the rules that the government cannot. From the ashes of FUD, we forge true adoption. Let’s make sure that adoption is decentralized, transparent, and true to the promise of trust minimization.
