@tylerwince: > the future looks weird, but also familiar. As always, Dan’s insights are well worth reading. The idea that our agenti…

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ai-agents automation future-of-work productivity expert-competence

Summary

Dan Shipper argues that AI agents create more human work rather than less, citing his company's growth from 4 to 30 employees since GPT-3. He explains how cheap expert competence drives up demand, a view that resonates with both doomers and accelerationists.

> the future looks weird, but also familiar. As always, Dan’s insights are well worth reading. The idea that our agentic future creates more work, not less, is one I deeply agree with. This is a vision both doomers and accelerationists can get behind. Some of my fave quotes: > If you talk to anyone in the AI industry—or to early adopters outside of it—you’ll hear the same thing we’ve noticed internally: There’s more work to do than ever. > Slop is visible sameness, repeated ad nauseam. > It is obvious how little agency even the best models have if you spend 10 minutes with a toddler.
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Cached at: 05/22/26, 05:54 AM

the future looks weird, but also familiar. As always, Dan’s insights are well worth reading. The idea that our agentic future creates more work, not less, is one I deeply agree with. This is a vision both doomers and accelerationists can get behind. Some of my fave quotes: > If you talk to anyone in the AI industry—or to early adopters outside of it—you’ll hear the same thing we’ve noticed internally: There’s more work to do than ever. > Slop is visible sameness, repeated ad nauseam. > It is obvious how little agency even the best models have if you spend 10 minutes with a toddler.

Dan Shipper 📧 (@danshipper): We’ve automated every single thing we can @every with AI agents.

And yet there’s way more human work to do than ever. We’ve gone from 4 -> 30 human employees since GPT-3.

I wrote a report on the structural reasons: how AI makes expert competence cheap, why that drives up demand

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