Anthropic just did something no AI lab had done before: it put itself on the runway to Wall Street. On June 1, 2026, the company behind Claude confirmed it had confidentially submitted draft registration paperwork to the U.S. Securities and Exchange Commission, setting up what could be one of the largest technology listings in history.
The timing was not subtle. Anthropic's filing landed exactly one week before rival OpenAI confirmed its own confidential submission on June 8. After a year of trading punches over models, benchmarks, and funding rounds, the two labs are now racing each other to the opening bell.
A $965 billion starting line
Anthropic enters this race with extraordinary momentum. The filing followed a fresh $65 billion funding round that valued the company at roughly $965 billion — enough to edge past OpenAI's valuation for the first time and crown Anthropic, at least on paper, the most valuable AI startup on the planet.
"The number of shares to be offered and the price have not yet been set," the company said in its announcement — standard language for a confidential filing, which lets a company refine its numbers privately before going public.
That near-trillion-dollar tag would have sounded absurd two years ago. What changed is the revenue.
The number that made bankers comfortable
Valuations built on vision are fragile. Valuations built on revenue are not — and Anthropic's revenue curve is the steepest the software industry has ever seen.
The company's annualized run-rate revenue hit roughly $47 billion in May 2026. To appreciate how violent that growth is, look at the trajectory:
| Date | Run-rate revenue |
|---|---|
| January 2024 | ~$87 million |
| December 2024 | ~$1 billion |
| End of 2025 | ~$9 billion |
| February 2026 | ~$14 billion |
| March 2026 | ~$19 billion |
| April 2026 | ~$30 billion |
| May 2026 | ~$47 billion |
That is a roughly five-fold jump in five months, driven overwhelmingly by enterprise and developer demand. Companies are paying per token to wire Claude into coding workflows, customer support, and internal tooling — and that pay-as-you-go API business is precisely the kind of recurring, high-margin revenue public-market investors reward.
Why Anthropic and OpenAI are sprinting at the same time
The two filings are not a coincidence. They are the latest move in a rivalry that has defined the frontier-model era.
For most of the past year, OpenAI held the valuation crown and Anthropic played the disciplined challenger, leaning into enterprise trust and coding performance. Then Anthropic's $65 billion raise flipped the standings, and the IPO filing was the natural next escalation: whoever reaches public markets first gets the branding win, the liquidity, and the war chest to fund the next round of compute.
OpenAI's response came fast. Its confidential draft, publicly confirmed on June 8, reportedly targets a valuation that bullish analysts argue could approach $1 trillion, with pre-IPO estimates clustering in the $730 billion to $850 billion range. OpenAI has tapped Goldman Sachs and Morgan Stanley to manage its offering, and both companies are eyeing public debuts as soon as this fall.
What a confidential filing actually means
It is worth being precise here, because "filed for IPO" gets thrown around loosely.
A confidential submission under the JOBS Act lets a company hand the SEC a draft S-1 without making it public. The lab gets to negotiate with regulators, refine its financial disclosures, and gauge market appetite — all without competitors or the press picking apart its numbers. The public version, with real share counts and pricing, comes later, typically a few weeks before the actual listing.
In other words: neither company is publicly traded yet, and neither has set a price. What we have is two of the most important companies of the decade signaling, in writing, that they intend to sell shares to the public before the year is out.
The risks hiding behind the run-rate
A near-trillion-dollar valuation on a company that is still spending ferociously on compute invites obvious questions. Run-rate revenue is an annualized snapshot, not booked annual revenue, and it can swell quickly in a market where a handful of large customers drive a disproportionate share of usage. Frontier labs also burn enormous sums on training and inference infrastructure, which means the path to durable profitability — not just revenue — will be the story public investors scrutinize most.
There is also concentration risk. Much of Anthropic's surge is tied to coding and agentic workloads, a category that is fiercely competitive and where pricing pressure from open-weight models is intensifying. A public listing turns all of that into quarterly homework.
The Bottom Line
Anthropic's confidential IPO filing is the clearest signal yet that the frontier-AI boom has matured from a venture story into a public-markets event. A $965 billion valuation backed by a $47 billion run-rate is the kind of number that forces even skeptics to take the business seriously. But the confidential filing is a starting gun, not a finish line — no shares, no price, and no listing date are set. The real test arrives when Anthropic and OpenAI publish their full numbers and let public investors decide whether the most valuable startups on Earth are worth what private markets say they are. For now, the race to Wall Street is officially on, and Anthropic got there first.
