a16z Top 100 Gen AI Consumer Apps report adds consumer spending data

a16z's latest Top 100 Consumer AI report brings consumer spending data into the ranking for the first time, adding a third dimension alongside the web traffic figures from Similarweb and the mobile monthly active user numbers from Sensor Tower that it has tracked before. The spending data was observed by YipitData from US consumer debit and credit card panels.

The picture that emerges is a market with two tracks: traffic is thriving, while spending is concentrated. Only 7 companies appear on all three lists — web traffic, mobile MAU and consumer spending — and 29 of the top 50 spenders appear on none of the traffic lists at all.

Spending follows a steep power law. The top 1% of paying users account for 19.5% of observable spending, more than the bottom 50% combined, which accounts for 16.6%. Those heavy users spend an average of $903 per month on AI, mainly on coding, productivity and creative tools. As of August this year, only 4.5% of US consumers held at least one active personal paid subscription to ChatGPT, Gemini or Claude.

According to the report, the rankings have stabilized, and the structure it describes is shaping how the industry approaches strategy. Subscriptions helped AI companies cover model costs early on, but they also lower the ceiling on adoption. New business models such as personal agents, advertising and transaction take rates have begun to surface, all pointing to the same question: how to turn AI from a paid piece of software into a low-friction everyday service.