Quote · The a16z Show
Is AI a Bubble? | Gavin Baker on Data Centers, GPUs, and the AI Economy
Where this was said
AI Business Models: From Seat Licenses to Outcome-Based Pay
At 28:45 · chapter starts 26:20
David George presses Baker on the harder question beyond obvious use cases like customer support: how does AI actually displace human services at scale, and what business models emerge? Baker's framework is simple — humans are paid for outcomes, AI will increasingly be paid for outcomes too. Customer service is the easy first example: the data is textual, LLMs are strong at text, and the reward signal (happy customer, first call resolution) is easily verifiable with RL. The harder, more interesting question is consumer business models [1] — Gavin Baker "Google never built a marketplace because advertisers systematically overpay, and that inefficiency was Google's profit. AI agents will sque…" 27:05 . Baker's vision: personalized AI agents that know your preferences and actively negotiate on your behalf — booking hotels by soliciting competing offers rather than passively directing you to a website. This eliminates the systematic inefficiency that made Google's advertising model so lucrative: advertisers have always paid more than they should because the customer conversion happened post-click. AI closes that loop, compressing margins but creating more genuine value. He closes with Elon Musk's tweet that 'work will become optional' — a scenario Baker says is not wildly implausible given the technology's trajectory.
Google never built a marketplace because advertisers systematically overpay, and that inefficiency was Google's profit. AI agents will squeeze that out, shifting to outcome-based models and affiliate fees. Baker's vision: a personal AI that negotiates hotel prices on your behalf, paid only on results.
Andrej Karpathy stating AGI is 10 years away is now considered a skeptical, long-timeline view by many in the AI community.
The humanoid vs. non-humanoid robot debate is settled. Humanoids can learn from YouTube videos and human demonstrations, and the verification problem — did you put the glass in the dishwasher correctly? — is trivially solved. The robotics race is Tesla versus China, same as electric cars.