“Big Short” investor Steve Eisman said on his own show, Real Eisman Playbook, that “If I was the head of Anthropic or OpenAI, I’d be petrified. That spells to me price war.” The comment lands at an inconvenient moment: both labs have filed confidentially with the SEC and are aiming at public listings near $1 trillion. Eisman literally said “price war.” The valuation-collapse framing in our headline is our inference layered on that quote, since a $1 trillion IPO story assumes pricing power a price war would erode.
The Moonshot Threat: Kimi K3 and Open Weights
Eisman’s specific concern is Moonshot AI’s Kimi K3, which he says charges $3 per million input tokens versus $5 for OpenAI’s GPT-5.6 Sol and $10 for Anthropic’s Claude Fable 5. Pricing is only half the story. Moonshot released Kimi K3’s full model weights, so developers can run and customize it independently rather than staying locked to Moonshot’s platform. That undercuts the “stickiness” closed-model economics depend on. If an enterprise buyer can host a comparable model on its own GPUs at a fraction of frontier API pricing, the switching cost justifying premium subscription economics thins every quarter. Eisman made the argument while challenging tech bulls Dan Ives and D.A. Davidson’s Gil Luria on AI moats.
The IPO Stakes
Anthropic filed confidentially with the SEC on June 1, 2026, with OpenAI following shortly after (reporting varies, around early June); both filings remain confidential rather than public S-1s. Anthropic is targeting an October 2026 NASDAQ listing off a $965 billion private valuation, potentially the first company to debut publicly at $1 trillion+. OpenAI has reportedly wavered toward a 2027 listing amid market volatility, with CEO Sam Altman said to have a “hard floor” of a $1 trillion listing price. As of Eisman’s July 29 broadcast, Polymarket traders priced Anthropic’s odds of going public by year-end at ~69%, versus just 19% for OpenAI. Public investors will price the moat directly, which makes Eisman’s price-war framing pointed rather than academic.
China’s Price War Is Already Underway: Baidu
On Bloomberg’s The Asia Trade on August 3, 2026, Bloomberg Intelligence analyst Robert Lee argued the commoditization Eisman fears is already playing out in China. “There’s a high level of commoditization in the AI sector. The sector is overpopulated, flooded with supply. At last count there were 988 large language models officially approved by China,” Lee said. He drew a parallel to solar’s collapse: an oversupplied market where price-cutting is the only lever left. DeepSeek cut API pricing by as much as 50%, and Baidu (NASDAQ:BIDU | BIDU Price Prediction) cut API pricing by 99% earlier in 2026. Baidu’s own numbers show the model shift underneath the price war: AI Cloud Infra revenue rose 79% YoY while Online Marketing Services fell 22% YoY. Lee named Alibaba (NYSE:BABA), Tencent, and Huawei as the best-capitalized survivors. Alibaba backs that up with a Cloud Intelligence Group accelerating 40% externally and Qwen’s open-source family surpassing 1 billion cumulative Hugging Face downloads, per its Q4 FY26 6-K filing.
The Bull Rebuttal: Alphabet and Real Revenue
Luria pushed back on Eisman by noting that OpenAI and Anthropic have a combined revenue run rate above $75 billion, “likely topping $100 billion” once Google’s Gemini and others are counted, up from zero two years ago. Ives, who recently launched a firm called Yorkville Ives, framed the scare as one of several “gut check moments” (three to four times a year) expected during what he calls an eight-to-ten-year AI buildout, now in year three. Alphabet (NASDAQ:GOOGL) offers the clearest data point that scale absorbs price pressure: Gemini is processing 22 billion API tokens per minute with 950M MAU on the Gemini App, while cloud revenue grew 82% YoY to $24.77B.
The Tension for Public Investors
A price war is fantastic for AI buyers and painful for the trillion-dollar valuation story both labs need to sell. Eisman is calling the pricing assumption underneath the coming IPOs fragile, and Robert Lee’s China data suggests the compression pattern rhymes with commodity cycles investors have seen before. Watch Anthropic’s October listing window and any pricing responses from OpenAI or Alphabet’s Gemini for the first real test.
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