OpenAI and Anthropic Get 80% of Revenue From 1% of Customers

Enterprise adoption of artificial intelligence is expanding, yet a small segment of businesses controls a large share of the revenue generated. According to data from Ramp, the top 1% of customers account for 80% of revenue at both OpenAI and Anthropic, a concentration that remains constant even as more companies begin paying for generative AI.

Ara Kharazian, Ramp's lead economist, highlighted this concentration risk, which is unprecedented in any other software category tracked by Ramp. At Anthropic, two coding tools, Cursor and GitHub Copilot, contributed nearly $1.2 billion of the company's $5 billion revenue last year, representing nearly a quarter of total revenue generated by just two customers.

GitHub, a major customer, is owned by Microsoft, which has also invested $13 billion in Anthropic's biggest competitor, OpenAI. OpenAI's usage is more widely distributed across its customer base, with over 9,000 organizations processing more than 10 billion tokens through its API and nearly 200 exceeding 1 trillion tokens each. Anthropic's enterprise base also follows a similar pattern, with the company reporting roughly 6,000 customers spending at least $100,000 annually, a sevenfold increase from the previous year, and over 1,000 customers spending at least $1 million annually, a two-month increase of more than double.

Both companies attribute roughly 80% of their total revenue to enterprise and startup API calls, priced by usage rather than a flat fee. This structure contributes to the uneven growth in enterprise AI spending, with Anthropic now accounting for around 40% of the market compared to OpenAI's 27%. Google has also seen significant growth, reaching 21% of enterprise large language model (LLM) API usage, leaving only three companies responsible for approximately 88% of enterprise LLM API usage combined.

Financial services are poised to be the next group of heavy AI users, with 95% of firms reporting broad or embedded use of AI in their data and technology work, and 80% expecting their spending on AI to increase within the next year.