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Andrej Karpathy

What Andrej Karpathy thinks about AI and jobs

@andrej-karpathy · 69 positions · On ppll ↗

Founding member of OpenAI and former director of AI at Tesla; creator of nanoGPT and the term "vibe coding".

Andrej Karpathy did not write this page.

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Only Andrej Karpathy on AI and jobs. See everyone on AI and jobs

7 dated positions, 2025 to 2026, in their own words. Our reading of what Andrej Karpathy has said — not written or endorsed by them.

  1. Our readingDemand for software will be extremely large precisely because software just got much cheaper to produce.

    optimism

    Their wordsI do have like cautiously optimistic view of this in software engineering where I do think um it does seem to me like the demand for software will be extremely large. Um and it's just become a lot cheaper.

    ↗Skill Issue: Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AIyoutube.com 14th of 20 in this recording

  3. Our readingAn agent can understand a maximally simplified explanation and still be unable to come up with it — that gap is what is left of the expert's job.

    neural networks

    Their wordsso for example, micro GPT, like I asked I tried to get an agent to write micro GPT. So, I told it like try to boil down the simplest things. Like try to boil down my um neural network training to the simplest thing and it can't do it.

    ↗Skill Issue: Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AIyoutube.com 20th of 20 in this recording

  4. 4 months earlier

  5. Our readingHow verifiable a task is now predicts how automatable it is, the way specifiability predicted it in the 1980s.

    Their wordsThe more a task/job is verifiable, the more amenable it is to automation in the new programming paradigm.

    ↗Verifiabilitykarpathy.bearblog.dev

  6. 4 weeks earlier

  7. Our readingHinton's prediction that radiology would stop being a job was wrong: radiologists are alive, well and growing in number.

    computer vision

    Their wordsso a good example recently was um Jeff Hinton's prediction that radiologists would not be a job anymore and this turned out to be very wrong in a bunch of ways right so radiologists are alive and well and growing even though computer vision is really really good at recognizing all the different things that they have to recognize

    ↗Andrej Karpathy — “We’re summoning ghosts, not building animals”youtube.com 19th of 30 in this recording

  9. Our readingJobs will not be replaced outright: AIs will take most of the volume while humans supervise teams of them and handle the rest.

    Their wordsBut even there I'm not actually looking at full automation yet. I'm looking for an autonomy slider and I almost expect that we are not going to instantly replace people. We're going to be swapping in AIs that do 80% of the volume. They delegate 20% of the volume to humans and humans are supervising teams of five AIs doing the call center work that's more rote.

    ↗Andrej Karpathy — “We’re summoning ghosts, not building animals”youtube.com 20th of 30 in this recording

  10. 3 weeks earlier

  11. Our readingPredictions that AI would eliminate radiology jobs were wrong; radiology is growing.

    computer vision

    Their wordsExpectation: rapid progress in image recognition AI will delete radiology jobs (e.g. as famously predicted by Geoff Hinton now almost a decade ago). Reality: radiology is doing great and is growing.

    ↗@karpathy on Xx.com

  13. Our readingMost current predictions about AI's imminent impact on the job market are naive.

    Their wordsThere are a lot of imo naive predictions out there on the imminent impact of AI on the job market.

    ↗@karpathy on Xx.com