Garry Tan: The AI Era Will See the Emergence of Strong Older Entrepreneurs
Y Combinator President and CEO Garry Tan stated that the AI era will bring forth a group of very strong "older entrepreneurs," who may be 35, 40, or even 45 years old.
These individuals have years of engineering experience, have encountered enough pitfalls, understand what is worth pursuing, and possess proven judgment and taste.
He cited Peter Steinberger as a typical example, noting his rich experience and knowledge of what to build.
Tan pointed out that once AI amplifies the capabilities of such individuals by 400 times, one person could potentially outcompete an entire department of a tech giant.
He emphasized that while young talent will still emerge, founders aged 35 to 45 with engineering experience are becoming a significant trend.
In market mechanisms, experienced founders will leverage AI agents and tools to scale personal judgment, directing funding and attention towards small teams that can efficiently operate as "one-person armies"; the beneficiaries will be seasoned engineer entrepreneurs with domain insights, while traditional tech giant departments that rely on large-scale organizational collaboration will be under pressure.
Source: Public Information
ABAB AI Insight
Garry Tan's own journey from engineer to YC leader, along with his long-term observation and investment in numerous young founders, has clearly shifted towards affirming the group of 35-45 year-olds with "pitfall experience" after the maturity of AI agents. This reflects Silicon Valley's cyclical adjustment from "youth as an advantage" to "judgment premium," similar to the phase in the 2000s when experienced serial entrepreneurs were once again favored.
In terms of capital pathways, YC and institutions like a16z are anchoring the amplification effect of AI on "validated judgment" through interviews and investment narratives, shifting resources from purely young high-growth stories to seasoned individuals who can quickly leverage agents to complete complex engineering tasks; the motivation is to reduce the risk of early product direction errors, strategically turning the AI toolchain into a lever for experienced talent rather than a replacement.
Similar cases can be seen with Stripe's Patrick Collison still being mentioned as a young benchmark, while Peter Steinberger re-emerges after accumulating experience from products like PSPDFKit, rapidly iterating with AI tools; the current industry is transitioning from large team scale battles to small, precise, experience-driven AI-native entrepreneurship.
Structural judgment pertains to the transfer of technical substitution and pricing power: as AI agents significantly lower coding and execution costs, the truly scarce resource becomes the judgment of "knowing what to do," with pricing power shifting from organizational scale to individual experience density; the mechanism is that after tools become widespread, those who have undergone a complete product cycle yield the highest marginal output.
ABAB News · Cognitive Laws
- Once experience is amplified, it becomes the strongest barrier.
- The stronger the tools, the more valuable the judgment.
- The premise of operating as a one-person army is having encountered enough pitfalls.