Dan Shipper's analysis of Every finds the company automated nearly all feasible tasks with AI agents yet grew its human workforce from 4 to 30 employees since GPT-3
Report projects stronger effects as AI systems advance.
#562Aaron Levie@LEVIEThis is a fantastic post about why jobs aren’t going away in the way some predict. We are constantly making the mistake of confusing task completion with AI with being able to eliminate the whole job.
Even as we can automate one or many tasks within a job, the definition of the job almost inevitably just expands to do vastly more of those tasks, do them at a higher quality, or move on to the type of task that hasn’t been automated yet.
And as a result of being able to do more of the tasks or at a higher quality level, the job becomes valuable in a new way. And in many cases for now an entirely new audience as well.
This will be true for coding, legal work, sales, or marketing. The small business or non-tech company that wants to now take on larger software projects finally can, and they’ll hire to do so. The small business that couldn’t afford a full marketing agency can hire or contract out to a marketer that can do as much as an agency did before now with agents. And so on.
Don’t fall into the trap of confusing tasks with jobs.
Dan Shipper 📧@danshipperWe’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
"Every agent needs a human. The further away an agent is from a human who's doing it, the worse it does.
Even though AI can do expert human work, it actually increases the demand for human experts. "
~ CEO of Every @danshipper
#1176Lenny Rachitsky@LENNYSANThis is good
Dan Shipper 📧@danshipperWe’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
#1410Dan Shipper 📧@DANSHIPPERit's alive!
Dan Shipper 📧@danshipperWe’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
@jamescham ❤️❤️
James Cham@jameschamDan is so far ahead of the rest of us sometimes.
read the PDF: https://every-s-manifesto-production.up.railway.app/after-automation.pdf
read on @every: https://every.to/p/after-automation
Dan Shipper 📧@danshipperWe’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
@lennysan thanks Lenny!!
Lenny Rachitsky@lennysanThis is good
@danshipper @every very interesting!
was any of this report AI-written?
Dan Shipper 📧@danshipperWe’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
#1988Daniel Jeffries@DAN_JEFFRIES1The Infinite Stack.
Problems are endless. You abstract a lower level of problems and create more challenges and more complexity higher up the stack.
Complexity breeds complexity. You get more jobs and more varied jobs.
This goes on forever. It's endless.
Dan Shipper 📧@danshipperWe’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
