Vivold Consulting

Confidential documents reveal OpenAI’s cost structure for Microsoft infrastructure

Key Insights

Leaked internal documents detail how much OpenAI pays Microsoft for compute and cloud infrastructure, revealing the economics behind large-scale AI training and deployment. The leak highlights the cost pressures behind frontier-model development.

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The true cost of AI training comes into focus


A trove of leaked financial documents reveals the scale of OpenAI’s payments to Microsoft, underscoring the enormous infrastructure burden behind frontier models.

What the documents show


- Compute spending is among OpenAI’s largest budget items.
- Training costs scale steeply with model size and iteration frequency.
- Cloud credits and pre-purchase agreements shape cost structures.

Strategic implications


- Highlights how cloud platforms influence the economics of model developers.
- Raises questions about long-term profitability of LLM companies.
- Suggests competitive advantages for vertically integrated players.

Why it matters


- Transparency helps investors understand the real cost curve of frontier AI.
- Will fuel debate over whether frontier-model economics are sustainable.
- Reflects increasing scrutiny on AI company financials and cloud dependencies.