Ex-OpenAI Staffer Debates AI Trillion-Dollar Valuations and Training Costs
AndrewSchmidtFC · x · 2026-07-31
Responding to a former OpenAI employee's view on AI valuation bubbles, an industry professional offered a rebuttal, arguing the previous valuation model was too simplistic:
- Valuation Logic: Investors value future cash flows and eventual margin expansion, not just current earnings multiples. If revenue scales rapidly, a lab wouldn't need $100-200 billion in revenue today to justify a trillion-dollar valuation. Furthermore, Anthropic is reportedly predicting around $10 billion in revenue by year-end.
- Cost Curve: The assumption that training costs will outpace monetization indefinitely is not inevitable. Algorithmic improvements and specialized hardware could alter this trajectory.
Related event: Ex-OpenAI Employee Warns of AI Lab Valuation Bubble, Urges Cashing Out(6 posts)→
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