The IPO Race Is Real, But The Timing Is Still Soft
As of July 6, 2026, both OpenAI and Anthropic have taken formal steps toward going public. Anthropic announced on June 1, 2026 that it had confidentially submitted a draft S-1 registration statement to the SEC for a proposed IPO. OpenAI followed with its own announcement on June 8, 2026, saying it had recently submitted a confidential S-1 and had not decided on timing. That wording matters. A confidential filing is not a bell-ringing ceremony. It is the paperwork door opening.
Anthropic’s announcement says the number of shares and price have not been set, and that the IPO depends on market conditions and other factors. OpenAI’s announcement is even more cautious: the company said the process could take time because some things may be easier while private. That is not exactly “see you on the Nasdaq next Tuesday.” It is more like “we are keeping the option alive before the market, regulators, employees, and rivals force the calendar for us.”
The expected outcome, then, is a staged public-market campaign rather than a clean sprint. Anthropic looks positioned to move first, because it publicly framed its confidential filing as a proposed IPO of common stock. OpenAI has the louder brand, but also the more complicated story. Both could list, one could wait, or either could use the filing to pressure private investors into better terms. IPO filings are finance. They are also theater, just with more lawyers and worse snacks.
The Valuations Are Already Doing Push-Ups
The private-market numbers are the headline because they are enormous. OpenAI announced on March 31, 2026 that it closed a funding round with $122 billion in committed capital at an $852 billion post-money valuation, according to OpenAI’s own announcement. Anthropic announced on May 28, 2026 that it raised $65 billion in Series H funding at a $965 billion post-money valuation, according to Anthropic’s announcement.
Those are not normal software-company valuations. They are infrastructure-era valuations. Public investors will not just ask how many people use ChatGPT or Claude. They will ask whether the companies can convert usage into gross margin, whether enterprise contracts renew at high prices, and whether model costs fall faster than customer demand rises.
The expected IPO outcome is that both companies receive extraordinary attention, but not necessarily an easy valuation expansion. A private investor can underwrite a strategic story. A public investor has to stare at quarterly reports. If the final S-1s show fast revenue growth with improving unit economics, the offerings could price aggressively. If they show huge revenue attached to even huger compute commitments, the market may still buy the story, but it will demand a discount for the privilege of holding the risk in public.
OpenAI Has The Brand; Anthropic Has The Cleaner Enterprise Pitch
OpenAI’s strongest public-market argument is distribution. ChatGPT is the consumer AI brand that broke through into everyday work, school, coding, search, writing, and business experimentation. OpenAI also has a broad developer platform and a visible enterprise push. A public investor can understand that story in one sentence: it owns the default front door for modern AI.
Anthropic’s argument is different. It is the enterprise-trust candidate. Claude has become closely associated with writing, coding, long-context work, and safety-conscious business use. Anthropic’s May 2026 funding announcement said its run-rate revenue had crossed $47 billion earlier that month. That is a company-provided figure, not audited public reporting, but it will be one of the first numbers investors look for when the public S-1 appears.
The market may treat OpenAI like the category leader and Anthropic like the more legible enterprise compounder. That does not mean Anthropic is safer. It means its story may be easier to put into an IPO slide deck without spending half the roadshow explaining governance, mission structure, and strategic entanglements. OpenAI’s upside may be larger. Anthropic’s pitch may be cleaner. Investors love upside, but they also enjoy being able to explain what they just bought without using a whiteboard.
The Real Test Is Compute, Not Chatbot Hype
The public-market question is not whether people want AI. They do. The question is whether frontier AI companies can serve that demand profitably while buying, leasing, reserving, and powering enough compute to stay competitive. In plain English: if every dollar of revenue requires an alarming amount of chips, electricity, networking, cloud commitments, and data-center gymnastics, the business may be large without being comfortable.
This is where the IPOs could become a broader market referendum. Investors will look for answers to four boring but decisive questions:
- Gross margin: Does each additional customer become cheaper to serve over time?
- Compute commitments: Are long-term infrastructure deals flexible, or are they giant fixed costs wearing a hoodie?
- Revenue quality: How much revenue is recurring enterprise usage versus experimental spending?
- Model durability: Can either company keep a lead without resetting costs every model cycle?
That is why token metering, usage transparency, and workload economics matter. If you want the user-level version of the same problem, Notavello has covered why the AI meter needs better receipts. At IPO scale, the same issue gets a few more zeroes and a banking syndicate.
Retail Investors Will Probably Get The Leftovers
The expected retail outcome is simple: ordinary investors will hear a lot about the IPOs and likely receive very little clean access at the actual offering price. Large IPO allocations usually flow first to institutional investors, strategic partners, and favored clients. By the time shares are easily tradable in a brokerage account, the public price may already include a lot of excitement, scarcity, and “I don’t want to miss the next platform shift” energy.
That does not mean the stocks cannot work. It means the first tradable price may not be the same opportunity insiders had. If OpenAI or Anthropic lists at or near a trillion-dollar valuation, the stock does not merely need to be a good company. It needs to become a company so economically powerful that today’s massive price later looks restrained. That is possible. It is also a high bar, and the bar is not lowered because the logo is familiar.
A sensible reader should separate three ideas: liking the products, believing in the long-term AI market, and buying the IPO at any price. Those are different decisions. Public markets have a long tradition of teaching that lesson with enthusiasm and very little mercy.
The Most Likely Outcome: Big Debuts, Then A Hard Repricing Of Reality
The most likely outcome is that the OpenAI and Anthropic IPOs, if completed, become landmark offerings. Demand should be intense. The companies are central to the AI economy, their products are widely discussed, and private valuations already imply that investors expect them to become core technology platforms rather than ordinary application companies.
But after the initial excitement, the market will probably split the story into winners and merely expensive survivors. OpenAI will be judged on whether its consumer dominance, developer ecosystem, and infrastructure strategy can produce durable margins. Anthropic will be judged on whether its enterprise momentum, safety positioning, and cloud partnerships can scale without being crushed by compute costs. Both will be judged on governance, regulation, model risk, security, and dependence on partners. Fun little checklist.
The dry conclusion: these IPOs may be successful without being painless. A strong debut is likely if market conditions hold and the filings show credible growth. A straight-line stock-market victory is less certain. Public investors are not buying a chatbot. They are buying a claim on the future economics of intelligence infrastructure. That claim may be valuable. It may also be volatile, expensive, and harder to audit than the hype suggests.
So the expected outcome is not “OpenAI wins” or “Anthropic wins.” It is that both companies force public markets to price frontier AI for real. That will be useful, overdue, and probably messy.