Garry Tan says AI agents let startups scale with minimal headcount, citing Emergent's $15M ARR with 15 people. He warns founders must own their skill files or risk losing their cognitive assets.
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Garry Tan, Y Combinator's president and CEO, told the incubator's Startup School 2026 audience that AI-native ventures can now reach profitability within eight months, a timeline he said breaks traditional market-entry math. The shift comes as a majority of YC's recent batches build their structures using AI agent models.
Tan pointed to Emergent, part of YC's summer 2024 batch, which went from public launch to nine figures of revenue in eight months. When it crossed $15 million in annualized revenue, the company had just 15 people. Another startup, Retell, launched in winter 2024, recently hit $60 million annualized with about 40 people. Such revenue per person was not possible so quickly until recently, Tan said. "Not in software, not in oil, not in railroads. And these aren't freaks of nature. They're the first companies built natively on the new physics, and every one of them started as one or two people."
At least one in four YC ventures now have codebases that are 95% AI-generated, Tan said. The latest batch "is on track to becoming one of the fastest growing, most profitable batches in the history of YC." Tan himself said he is personally 400 times more productive now than when he was building his own startup 13 years ago. That productivity extends beyond coding to design, product management, and growth.
Tan called the underlying concept "personal AGI" – artificial general intelligence that runs on a user's own infrastructure, compounding knowledge over time. "Before you ever incorporate anything, before you have a co-founder or a logo or a deck, you can already be running an organization – an organization of one plus your agents," he said. He urged founders and professionals to build and own these agent skill files, warning that companies may otherwise control them. "Those files may live in the company's repo under the company's IT policy," Tan cautioned. "You may leave with nothing. The company keeps running your judgment without you." He compared the risk to factory owners controlling looms during the Industrial Revolution, stripping craftsmen of their tools. "For the first time in history, your cognition can be extracted, stored, versioned, and owned. The only question is, by whom?"
Tan framed AI agents as a democratizing force. "For most of history, almost all of that striving never got an audience. It died waiting for funding, waiting for headcount, waiting for permission, waiting for someone else to believe first." AI agents, he said, "are the first technology I've ever seen that lets the striving go straight to work."
The risk of companies owning skill files echoes broader debates about AI liability and intellectual property. Y Combinator's message is clear: the startups that win will be those that treat their AI agents as portable assets, not corporate tools.
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