A16z's Olivia Moore: Consumer AI Has a Monetization Problem

Just 2.2% of U.S. households pay for AI products — and Andreessen Horowitz partner Olivia Moore says the industry should not fixate on raising that number. Instead, consumer AI needs revenue models that do not rely on subscriptions paid out of consumers' own pockets.

Moore, who covers consumer AI at a16z, released a report on Monday ranking the top 100 consumer AI apps. ChatGPT remains the biggest player by a wide margin, while smaller companies like Suno and ElevenLabs show staying power. The report also documents something missing: roughly half a dozen consumer categories — social, dating, marketplaces, retail, travel, finance and health — have no entrants in the top 100 at all.

"It's definitely very early" for the category, Moore said of true consumer AI.

Is OpenAI's enterprise push a retreat from consumers?

OpenAI's renewed focus on enterprise this year has fueled pessimism about consumer AI revenue — a concern echoed in reporting on the bleak economics of the space. Moore reads the move differently.

"I agree with you that OpenAI has moved back towards the enterprise. To me, it's not necessarily a pivot because they're still launching a lot in consumer. It's more of an expansion," she said.

The reason is simple: almost all AI revenue to date has come from subscriptions and token usage, both concentrated on the enterprise and prosumer side.

Does monetization require more paying users?

Moore's answer is no. "I'm more interested in getting back to a world where the consumer is monetized in a way that isn't subscription dollars out of their own pocket," she said.

She points to a Silicon Valley blind spot. High-income tech workers with corporate cards say they would rather pay for products outright, but "most people would actually rather have free access to something and see some ads, and then they can decide if they want to subscribe or not to make the ads go away," Moore said.

Can costs come down?

AI services carry marginal costs far higher than classic internet businesses like Facebook or Google Search. Moore sees that shifting. ChatGPT now offers a Go plan at $8 a month, which she assumes runs on cheaper models. Consumer use cases often do not need frontier intelligence, opening room for cheaper models and open-source foundations — a pattern she says a16z founders are increasingly reporting.

The catch: the users currently driving revenue do coding and technical automation, tasks that likely require frontier models. "I think as we get more people building for the consumer, where the model is not the product, we'll start to see lower-cost models used more often," Moore said.

Is 'consumer AI' actually prosumer AI?

In a piece roughly a year ago titled "The Great Expansion," Moore argued that AI has collapsed the old consumer-to-enterprise timeline. Pre-AI companies like Canva took six or seven years to add enterprise plans. Now companies like Gamma, ElevenLabs and Cursor start consumer-first and become majority-enterprise businesses within 18 months.

Her revenue data backs this up. Three prosumer categories dominate spending:

• Product-building apps: Lovable, Replit, Fal
• AI ad generators and product marketing: Higgsfield, HeyGen
• General work management: Manus, Fireflies AI, Granola

"Almost all of what we think of as consumer AI, I would argue, is prosumer AI," Moore said.

Where does the market go next?

The whitespace is the story. Social apps, dating apps, marketplaces, retail, travel, finance and health — none of the top 100 apps play in those categories, which Moore calls "pretty surprising." That gap, she said, is "what I think we need to see over the next six months" before consumer AI can be judged as a mature category.