one year on
Karpathy: AI agents 'just don't work,' a decade from being useful
Karpathy says the industry's agent hype is running years ahead of the technology.
Originally published Published on this site
Andrej Karpathy used an appearance on the Dwarkesh Podcast to pour cold water on the agent boom, saying today’s agents “just don’t work” and that it will take roughly a decade to fix what ails them. “They don’t have enough intelligence, they’re not multimodal enough, they can’t do computer use,” he said. “They don’t have continual learning. You can’t just tell them something and they’ll remember it. They’re cognitively lacking and it’s just not working.”
Karpathy says the bottleneck is making agents actually work. He says to think of them like an employee or intern you would hire to work with you, and says the early agents he uses daily, like Claude and Codex, are impressive but still far from that standard. He says the problems are tractable, surmountable, but still difficult.
He was also careful to distance himself from outright skeptics, estimating his timelines are five to ten times more pessimistic than the typical San Francisco AI house party, but still optimistic about the field overall.
The record
Karpathy says he wants agents to feel like an employee or intern he would hire to work with him, rather than software that tries to replace the human in the loop.
One year later — open only if you can handle spoilers
Karpathy's own habits moved faster than his forecast: in a January 26, 2026 post he said he had gone from roughly 80% hand-written code in November to 80% agent-written code in December 2025, calling it the biggest change to his coding workflow in about two decades.
Filed
Compiled and edited by Adam Allcock.
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