Sep 30, 2026 · 32 min
Anthropic’s losses test frontier AI valuations
Anthropic’s Financials Revealed — The Losses Are Stunning
Anthropic’s filing raises a central market question: can frontier AI companies sustain enormous training costs while presenting a credible path to profitability?
- 1Anthropic’s reported losses look materially different when training costs and revenue-sharing obligations remain in view.
- 2Frontier AI valuations depend on continued spending to preserve a competitive moat, not simply on current revenue growth.
- 3Oura’s IPO delay shows how investor feedback, valuation expectations, and limited cash needs can outweigh strong operating fundamentals.
Don't miss
Paul Kedrosky argues that frontier AI companies cannot simply stop training without risking their competitive position against cheaper Chinese rivals.
The brief
Paul Kedrosky and Ed Elson examine Anthropic’s filing, arguing that adjusted profitability can obscure the training costs and revenue-sharing obligations behind frontier AI.
The valuation debate turns on a difficult tradeoff: continued training may protect Anthropic’s moat, but stopping could leave it vulnerable to cheaper Chinese competitors.
Jay Ritter explains why Oura paused an IPO despite strong fundamentals and an oversubscribed order book, emphasizing valuation expectations, feedback, and the absence of urgent cash needs.
The episode closes with Manchester City’s alleged financial misrepresentations and sham contracts, shifting the discussion from startup finance to sports governance.
Featuring
Jay RitterMentioned
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