Documents: OpenAI and Anthropic have projected profitability to investors with and without training costs, and report inference costs exceeding half of revenue (Wall Street Journal)
Why it matters: OpenAI and Anthropic's high inference costs directly impact their path to sustainable profitability.
- OpenAI and Anthropic have projected profitability to investors, with and without factoring in AI model training costs (Wall Street Journal).
- Both companies report that inference costs, the expense of running their AI models for users, exceed half of their revenue (Wall Street Journal).
- Silicon Valley's hottest startups face the common challenge of funding giant computing costs for AI development and deployment (Wall Street Journal).
Leading AI startups OpenAI and Anthropic have presented profitability projections to investors, both including and excluding the massive costs associated with training their AI models. A significant challenge for both companies is that their inference costs — the expense of running AI models for users — currently consume over half of their revenue, highlighting the immense computing expenditures inherent in their operations.
