The numbers alone are staggering enough to give anyone pause. SpaceX, OpenAI, and Anthropic are lining up for stock market listings that, combined, could add more than $3.6 trillion in market value to US exchanges. To put that in perspective, that is roughly the size of France’s entire GDP.
SpaceX’s market debut, set to be the largest in history, is more than four times oversubscribed. OpenAI filed confidentially for a listing on Monday, following Anthropic last week. The sheer scale of what is being asked of markets is without precedent.
But beyond the headline valuations and the scramble for allocations, a more important question is being asked quietly: will going public actually make these companies more open to scrutiny?
Going public removes the existential funding question. It also creates reputational and regulatory accountability that changes how an AI company behaves. It will force both OpenAI and Anthropic into a level of financial transparency that the AI industry has largely avoided up to this point. That is the optimistic case, and it is not without merit. Public companies answer to shareholders, regulators, and quarterly filings. The opacity that has characterised AI development so far becomes structurally harder to maintain when a company is listed on Nasdaq. Although, it must be said, Dario Amodei has not been as averse to oversight as his peers.
However, any effort for accountability only works if the dangers of AI is priced into the stock. In other words, for investors to be protected, the general public must be protected from AI risks. Play nice, or the consequences will be enough to move the share price.
The history of megacap initial public offerings shows that stocks usually slump in the first year of trading. But SpaceX, Anthropic, and OpenAI are big enough and systemically important enough to the market that those analogies may not apply. These are not ordinary companies going public. They are infrastructure-level entities that have embedded themselves into industries, government contracts, and daily digital life at a pace that regulatory frameworks have honestly not kept up with.
AI governance in 2026 is moving from high-level principles to enforceable rules, with expectations including documented AI inventories, compliance frameworks that surface real-time insights, and integrated accountability across the business. But there remains a gap between regulatory intent and regulatory reach, particularly for companies operating at frontier scale.
Anthropic’s run-rate revenue reportedly crossed $44 billion annualised as of May 2026, and the company is on track to post its first-ever operating profit in the second quarter. These are no garage-stage startups seeking runway. They are mature, revenue-generating businesses with geopolitical footprints. The case for treating them like ordinary tech listings becomes harder to sustain, even if the valuations are scarcely believable.
What the IPO supercycle ultimately represents is a reckoning that has been deferred for years. The AI industry built at speed, raised at scale, and operated largely out of public view. Going public changes the terms of that arrangement, at least partially. Investors will demand disclosures. Regulators will have new hooks for scrutiny. Courts will have new plaintiffs.
Whether that translates into genuine accountability for the broader risks that AI poses to society, or simply better disclosure to shareholders, is the question that will define the next chapter. The market is betting on the former. The more sober reading of history suggests the latter.
