Does model convergence erode AI firms' ability to charge premium prices?
Core argument: About 80% of Anthropic’s first-half revenue came from usage-based customers paying through the API, leaving that revenue directly exposed to falling token prices.
About 80% of first-half revenue came from customers paying by usage—through the API, and so directly exposed to the winds of tumbling token prices. At the same time, more than 80% of third-quarter revenue came from models released within the preceding six months. These are remarkable growth figures, but they also describe a business in a rapid race against churn, continually renewing its product and trying to earn its costs again. In a world where models are increasingly converging, the ability to charge premium prices on the latest models will continue to decline sharply. There are deeper implications, of course, A company growing at 50% gets valued very differently from one growing at 150%. Thus, getting to the kind of near-term revenue required to justify current and planned capital expenditures also becomes... less tractable.

