Analyzing OpenAI's Unit Economics and GPT-5 Profitability
By
swolpers
Toasted to a respectable shade. No regrets, no crumbs left.
Summary
The article examines the unit economics of AI companies, specifically OpenAI's GPT-5, questioning whether these models are actually profitable to run despite massive valuations. It references Jevons' paradox where cheaper tokens lead to exploding demand, and uses a collaboration with Epoch AI to analyze OpenAI's financial viability through triangulation of reported details, leaks, and Sam Altman's statements.
Key quotes
· 3 pulledAI companies are being priced into the hundreds of billions. That forces one awkward question to the front: do the unit economics actually work?
Jevons' paradox suggests that as tokens get cheaper, demand explodes.
What looks like a simple margin calculation is closer to a forensic exercise: we triangulate reported details, leaks, and Sam Altman's own words to bracket plausibility.
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