Every publishes 'After Automation' report detailing Codex and Claude Code automation of coding, writing, design and customer service as staff grows from 4 to 30

DSDan 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 for experts, and why the dynamic only intensifies as we approach AGI. After Automation: https://every.to/p/after-automation

DSDan 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 for experts, and why the dynamic only intensifies as we approach AGI. After Automation: https://every.to/p/after-automation

JCJames Cham@jamescham

Dan is so far ahead of the rest of us sometimes.

DSDan 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 for experts, and why the dynamic only intensifies as we approach AGI. After Automation: https://every.to/p/after-automation

LRLenny Rachitsky@lennysan

This is good