Consumer AI Revenue, Power Users, and Monetization Gaps

Olivia, a partner at Andreessen Horowitz, joins a discussion on how consumer AI apps are ranked by revenue, monthly active users, and engagement, drawing on Epic Data insights across hundreds of thousands of U.S. consumers. The conversation focuses on who pays for AI, how power users behave, and where consumer AI monetization may go next.

■ Consumer AI engagement and revenue metrics
- Rankings by visits, monthly active users, and revenue show that less than 5% of consumers pay for one AI app and about 13% pay for more than one.
- The top 1% of spenders drive much of consumer AI revenue, spending around $1,000 per month on personal credit cards, while average consumer spend is roughly $20 per month.

■ Leading products and usage concentration
- OpenAI and Anthropic top monthly revenue charts, helped by broad consumer awareness and power users using models for coding and product building.
- Power user spend clusters in product building, marketing and content creation, and general productivity tools.

■ Monetization gaps and investment implications
- Subscription, extra credits, and usage tokens dominate consumer AI revenue, while ads and transactions remain less common.
- Missing consumer categories include social, dating, marketplaces, fintech, and health; free consumer agents may monetize through ads or transaction fees.
- About half of Americans use AI and 25% use it daily, but under 5% pay, prompting questions about time-spending apps, entertainment, and network effects.

This discussion is suited for investors, founders, product leaders, and analysts tracking consumer AI adoption and business models. It offers a structured view of current monetization patterns and identifies areas that may shape future consumer AI opportunities.