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Based on analysis of years of revenues, losses and funding, since 2023, OpenAI has taken in $28.6bn in cash and had $13.7bn in losses. However, reports say OpenAI ended 1H 2025 with $9.6bn in cash - suggesting OpenAI's losses are billions higher than reported. www.wheresyoured.at/where-is-ope...

wheresyoured.atWhere Is OpenAI's Money Going?Soundtrack: Queens of the Stone Age - Song For The Dead Editor's Note: The original piece had a mathematical error around burnrate, it's been fixed. A few days ago, Sam Altman said that OpenAI’s rev...

In an analysis of OpenAI's costs, revenues and funding from 2023 to 1H 2025, it raised $28.6bn in cash ($10bn rev included), and had $13.7bn in cash losses. Reports say OpenAI ended 1H 2025 with $9.6bn. It should have $14.9bn in cash. There's a $4.1bn+ hole. www.wheresyoured.at/where-is-ope...

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Cash pays for Long-Lived Property & Equipment or some other asset. Cash out the door, but expense is deferred because the equipment gets depreciated over time.

Stargate Abilene being full of inference-focused GPUs tells you something OpenAI won't say out loud: the models are too expensive to run. the business model requires inference costs to drop faster than usage grows. that's a bet, not a plan

A simplified version. You *train* a model to do something. Example, differentiate dogs from cats in photos. This might take 1000s of photos. You then use a model on a new photo. “Is it a cat or dog in this photo?” That is “making an inference.” Inferences are claimed cheaper than training. 1/3

Didn’t they have a deal to open data centers with the 100 billion investment that were going to use Nvidia chips? I probably cut out a data center ownership step in this loop though