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.
