Cheaper intelligence creates more uses for it
Agents repeatedly call trained models as they work, creating recurring demand across APIs, subscriptions, and infrastructure. Many companies are rushing with their empty buckets to capture water from this inference (revenue) waterfall. In fact, I would argue that the industry is in a state of “either you die trying to get to the frontier, or you live long enough to serve inference.”
Frequently asked questions
Answers drawn from the report and the sources below.
A lower cost for a fixed score makes more tasks economical. Total spending can still rise as people use AI more often or give agents longer tasks with repeated model calls. The benchmark trend alone cannot tell us the total bill.
Source: Epoch AI: The plunging price of thought · State of AI Report 2026.
The report’s combined OpenAI and Anthropic revenue run rates cover subscriptions, coding products, and APIs across their whole businesses. Treating them as inference-only revenue would misstate the comparison.
Source: State of AI Report 2026.
The report’s preliminary Standard Metrics comparisons show faster growth among AI-native companies at the upper quartile. They do not isolate the cause of that growth. I suspect AI contributes, but the comparison does not establish causality.
Source: State of AI Report 2026.