Anthropic is preparing its next major step. The US company behind the AI assistant Claude has confidentially submitted a draft registration statement for a potential initial public offering to the US Securities and Exchange Commission. The number of shares to be offered and the price range have not yet been disclosed. But one thing is clear: the move brings one of the world’s most important AI companies closer to the public capital markets.
This marks a new phase in the AI boom. So far, companies such as Anthropic, OpenAI and xAI have mainly been valued through private funding rounds, strategic investments and expectations about the future. On the stock market, however, they face a different kind of scrutiny: investors want more than growth. They want numbers, margins, cost structures and a credible path toward profits.
The Claude Developer Moves Closer to OpenAI
Anthropic is one of OpenAI’s most prominent rivals. The company was founded by former OpenAI employees and has positioned Claude primarily as a powerful AI system for professional applications, enterprise use, developers and knowledge work. While ChatGPT is far more visible in the mass market, Claude is regarded in many professional settings as a serious alternative.
The potential IPO is therefore also a signal in the race for market perception. The first major frontier AI company to go public could help shape how such businesses are valued in the future. At the same time, that company would also carry the risk of having to disclose financial data that has so far remained largely hidden.
For Anthropic, this could be both an opportunity and a stress test. A confidential IPO filing does not guarantee that the company will actually go public. It allows Anthropic to begin the SEC review process without immediately disclosing all details. Whether and when the IPO takes place will depend on the review, market conditions and the company’s final decision.
User Numbers Are No Longer Enough
The central issue goes deeper: the stock market will want to know how expensive the AI business really is. Large language models require enormous computing power, costly infrastructure, highly specialized talent and constant further development. That is why the story of the «next big thing» will no longer be enough on its own.
For investors, gross margins are likely to become especially important. In other words: how much of every dollar in revenue remains after direct costs. For traditional software companies, high margins are a key reason for high valuations. For AI companies, the picture is more difficult because usage and growth can also generate extremely high infrastructure costs.
That makes Anthropic a potential litmus test for the entire sector. If the company can convincingly show that AI products can scale profitably, it could strengthen the whole industry. If the numbers fall short of expectations, many AI valuations could suddenly be viewed with much colder eyes.
An IPO With Signal Effect
The timing is striking. OpenAI and other major technology and AI companies are also repeatedly linked to possible IPO plans. At the same time, the IPO market has started to recover after a prolonged weak phase. For investors, this creates a rare situation: some of the most valuable private technology companies could seek public listings within a relatively short period.
For Anthropic, a successful IPO would be more than a capital-raising move. It would be a public vote of confidence in a business model that has so far been driven largely by expectations about the future. But that is exactly where the risk lies: the capital market can extend hype. It can also brutally strip it away.
The confidential IPO filing shows one thing above all: the AI industry is leaving the phase of pure promise. What has so far been negotiated in private funding rounds and strategic partnerships may soon have to become publicly measurable. Revenue growth, costs, margins, risks and dependencies would no longer be discussed only internally or among major investors, but in full view of the market.
Anthropic could therefore become the first major reality check for the AI boom. Not because the technology is any less significant. But because significance alone is not enough on the stock market. In the end, the question is whether enormous computing power can become a sustainable business model.
