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emccue | 6 months ago
A company that can pull in single digit billions in revenue for hundreds of billions in expenses just doesn't make sense.
> Most businesses are not using these systems t̶o̶ ̶d̶r̶a̶w̶ ̶a̶ ̶m̶a̶p̶.̶
FTFY
And no - while it might be obvious from the outside in that it probably won't happen, the continued existence of the business is still predicated on conversion to a for-profit. They don't just need the amount of money they've already "raised", they need too keep getting more money forever.
infecto|6 months ago
As for “single-digit billions in revenue vs. hundreds of billions in expenses,” that’s just bad math. You’re conflating the total AI capex from hyperscalers with OpenAI’s own P&L. Yes, training is capital-intensive, but the marginal cost to serve (especially at scale) is much lower, and plenty of deployments are already profitable on an operating basis when you strip out R&D burn.
The funding structure question is fair, the for-profit conversion path matters but pretending the whole business is propped up solely by infinite investor charity is just wrong.
emccue|6 months ago
Capital Expenditures in 2025: $80 billion
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Amazon AI Revenue In 2025: $5 billion
Capital Expenditures in 2025: $105 billion
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Google AI Revenue: $7.7 Billion (at most)
Capital Expenditures in 2025: $75 Billion
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Meta AI Revenue: $2bn to $3bn
Capital Expenditures In 2025: $72 Billion
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The math is bad, but its not "bad math."
(Numbers from here: https://www.wheresyoured.at/the-haters-gui/)