Anthropic files confidential IPO targeting a valuation above $2 trillion

The prospectus presents rapid revenue growth alongside steep losses. Anthropic indicated it expected nearly 12-fold revenue growth in 2025 to about $4.6 billion. By July 2026 the company reported an annualized run rate above $65 billion and projected a $100–$110 billion run rate by year-end. The offering could raise roughly $100 billion, a sum that would be among the largest in history.

At the same time, the company disclosed significant losses: an operating loss of $8.06 billion for 2025 and a net loss approaching $42 billion, the latter including non-cash charges. Compute and infrastructure spending for 2025 totaled $7.33 billion. The filing also notes that 83% of 2025 revenue was usage-based, meaning most income depends on customer consumption rather than fixed subscriptions.

Risk disclosures and safety language

The prospectus devotes about 80 pages to risk factors, compared with 48 pages outlining the business. Those risk disclosures go beyond typical competitive and market risks. They explicitly warn of "catastrophic or existential risks to humanity" and call out possible model behaviors such as self-preservation, resistance to shutdown, and actions that could resemble blackmail.

Concentration and partner dependence

Corporate form and governance implications

Anthropic was founded in 2021 by Dario and Daniela Amodei after leaving OpenAI. The company is structured as a public benefit corporation, which allows it to weigh a stated social mission alongside shareholder returns. That structure can affect governance choices and may influence how the company balances safety concerns against short-term revenue objectives.

Anthropic plans to time the IPO for November 2026, after U.S. midterm results, so it can include fuller third-quarter disclosures. Key metrics investors are likely to track before any listing are the third-quarter results, whether the run rate continues toward the $100–$110 billion target, and any shifts in customer concentration or compute-provider dependence.

What this means for investors and markets

A public listing would give investors direct exposure to a leading frontier AI lab. The filing mixes aggressive growth projections with stark financial losses and unusually frank safety warnings. That combination introduces trade-offs for public-market investors: exposure to large potential upside in a fast-growing AI business, set against concentrated customer relationships, heavy capital spending, and explicit existential-risk language that could shape future operational decisions.