Sources: OpenAI is racing to secure investor commitments before Anthropic's expected IPO in mid-Nov. and aims to raise ~$30B; the round could value it at $1.4T+

Anthropic's IPO valuation could set a new benchmark for AI companies, potentially impacting how all private AI labs are assessed.

Anthropic, the AI firm behind the Claude models, is preparing for a public offering with a target listing in November 2026. The company has filed a confidential draft registration with the SEC and is seeking a valuation between $1.5 trillion and $2 trillion. Anthropic has scheduled pre-IPO investor updates and aims to begin marketing the deal around November 9. In the third quarter of 2026, revenue reached $16.8 billion, a 46% increase from the previous quarter, with an annualized revenue run-rate exceeding $65 billion by mid-2026, projected to surpass $100 billion by year-end. The company reported a $42 billion net loss for 2025 and has commitments exceeding $518 billion for compute and infrastructure. Anthropic's private valuation has surged from $380 billion in February 2026 to $965 billion by May 2026. Its main rival, OpenAI, has ruled out an IPO in 2026.

Anthropic's upcoming IPO could serve as a critical market test for the valuation of frontier AI companies. A successful public offering at its projected $1.5 trillion to $2 trillion valuation would establish a significant pricing benchmark for the entire sector. This could influence investment strategies and future funding rounds for other AI labs still operating in the private market. The company's substantial reported losses and high infrastructure commitments will be closely scrutinized by public investors.

The market's reaction to Anthropic's IPO will signal investor appetite for high-growth, high-loss AI ventures. A strong debut might validate the aggressive growth projections and fuel further investment into AI infrastructure and development, potentially accelerating the AI race. Conversely, a muted reception could prompt a more cautious approach from investors, leading to more stringent financial scrutiny for all AI companies seeking public capital.