AI IPOs and valuations: OpenAI, Anthropic, and the model race
Key highlights
- Timing and level are two separate trades. Kalshi runs monthly ladders on when OpenAI and Anthropic each announce a listing, while Polymarket carries contracts on whether the listing itself completes before 2027.
- Anthropic is priced ahead of OpenAI on the contracts that ask which of the two reaches the public market first, as of August 2026. That ordering is what every valuation contract below it is calibrated against.
- Valuation contracts settle on two different clocks: private marks reached at any point before December 31, and the market cap an OpenAI listing closes at on its first trading day.
What will move the AI listing odds.
- Whether Anthropic announces before OpenAI, since the first listing sets the comparison every later one is priced against in the AI IPO and valuation markets
- How public investors price revenue multiples far above precedent for companies this large that are not yet profitable
- Where each lab's private mark lands before year end, which is what the valuation ladders settle on whether or not a listing happens
- Whether the best-model leaderboard changes hands again before December, since these contracts read the benchmark rather than the marketing
- Nvidia's position as Alphabet ramps custom tensor processing units and other hyperscalers test alternatives to GPU compute
How prediction markets price the AI economy.
AI Model Race: Both venues ask which company holds the leading model, and both resolve against a public leaderboard rather than a vendor claim. They are not the same contract: Polymarket asks who is on top when December closes, Kalshi asks who reaches the top at any point before 2027, and the two list different rosters of companies. Read the rules before comparing the two prices.
IPO Pipeline: Announcing a listing and completing one are different events with different dates, and the contracts split along that line. Kalshi prices the official announcement in monthly steps running into 2027; Polymarket prices the completed listing at fixed cutoffs. A lab can clear the first and miss the second inside the same quarter.
Valuations & Market Cap: Two ladders run in parallel for each lab, one upward and one downward, so a level can pay on a markup or a markdown. Separately, a bracket set asks where an OpenAI listing closes on its first day, which needs two things to land at once: that it lists at all, and that it prints inside the range. The largest-company contract is the public-market version of the same question.
AI Wild Cards: A small set of contracts prices the structural surprises: an AGI announcement by fixed deadlines, an acquisition of a frontier lab, and a trillion-dollar OpenAI debut. Any one of them reprices most of the rest of the board, which is why they trade cheap and stay liquid.
Catalysts to Watch: An S-1 becoming public, a funding round closing, and the next GPU cycle shipping are the three events that move several of these contracts at once. Each of them lands on a known calendar rather than arriving as a surprise, which is what makes the ladders worth watching between resolution dates.
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