OpenAI Weighs IPO in 2027 After Expected Anthropic Public Debut

OpenAI is considering an IPO as soon as 2027, potentially after Anthropic’s expected public debut, according to people familiar with the matter. Both AI companies have already filed confidentially with the SEC, while OpenAI had previously been targeting a fall listing and Anthropic may go public as soon as October. The report is directionally positive for AI capital markets but remains preliminary and speculative.

Analysis

The more important signal is not the timing of the listing itself, but the sequencing effect across private AI capital. If Anthropic prices first, it establishes a public-market valuation benchmark that will likely compress private-round markups for the rest of the frontier-model complex; that hurts late-stage crossover funds and any secondary liquidity providers sitting on rich paper gains. The likely winner is the broader AI infrastructure stack, because a public listing regime forces both issuers to articulate capex discipline and customer concentration, which should pull investor attention toward picks-and-shovels names with cleaner revenue visibility.

Second-order, an IPO window in 2027 implies a longer private-market duration than the market has been underwriting, which is bearish for employees and early holders who were expecting a nearer exit. That tends to raise retention risk and secondary selling pressure in the interim, especially if the public comps re-rate lower on margins or growth normalization. It also creates a likely “IPO tax” on compute vendors and cloud partners: public scrutiny usually pushes frontier labs to diversify suppliers and renegotiate pricing, which can pressure gross margins at the infrastructure layer even if headline AI demand remains strong.

The contrarian view is that a delayed IPO is not necessarily negative for the company; it may be value-accretive if it allows the market to absorb more usage data and monetization proof before pricing the equity. In that case, the first public AI lab may become an event-driven sentiment reset rather than a true secular turning point. The real risk to the bearish private-market thesis is a sharp acceleration in enterprise adoption or an easing in compute costs over the next 12-18 months, either of which could expand terminal valuation math faster than the delay works against it.

Key Decisions for Investors

• Short basket of late-stage AI private proxies via secondaries/VC vehicles, or hedge with public AI infrastructure longs; thesis is that a first IPO print in 2026-2027 resets private marks downward by 15-25% relative to current implied rounds.
• Long NVDA / short a diversified basket of AI software names into any IPO hype cycle over the next 6-12 months; if frontier-lab monetization looks less certain, infrastructure captures more durable cash flow while software multiples de-rate first.
• If available, buy 6-12 month put spreads on high-beta AI software ETFs or baskets into the next confidential-filing headline; expected outcome is a fast sentiment flush with limited upside unless disclosed economics are exceptional.
• Avoid new exposure to richly priced late-stage crossover rounds with IPO dependency; require at least a 2x expected return buffer versus public comps given 12-24 month timing risk and valuation reset risk.