AI Multiplies Solo Productivity Far More Than in Big Teams
Founders and engineers describe how AI multiplies output for solo work but adds little inside large organizations.
Hiten Shah said AI gives talented people a reference point for speed that changes how organizations are measured in the talent market. Zara Zhang posted that skilled individuals reach 10x their potential using AI on independent projects yet see at most a 20 percent gain, and sometimes a loss, inside large companies. Pete Skomoroch retweeted the post. Jerry Liu replied that the productivity gap between solo 0-1 work and big-team settings existed before chatgpt because solo workers control decisions and stay below the 80-20 effort threshold.
There’s a phenomenon where talented individuals can achieve 10x their potential thanks to AI when working on their own thing But when the same individual is put into a large organization, they at most increase their potential by 20% (and sometimes it’s even decreased) This is…
I asked someone this week why they left Google. They told me they had never seen such talent-dense teams produce so little https://twitter.com/tiffany_yxy/status/2090506301059039665
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3 postsAI is giving people a reference point they never had before. How fast am I actually capable of moving? Once someone knows the answer, every organization gets measured against it. That changes the talent market more than people realize.
There’s a phenomenon where talented individuals can achieve 10x their potential thanks to AI when working on their own thing But when the same individual is put into a large organization, they at most increase their potential by 20% (and sometimes it’s even decreased) This is…
There’s a phenomenon where talented individuals can achieve 10x their potential thanks to AI when working on their own thing But when the same individual is put into a large organization, they at most increase their potential by 20% (and sometimes it’s even decreased) This is…
I asked someone this week why they left Google. They told me they had never seen such talent-dense teams produce so little https://twitter.com/tiffany_yxy/status/2090506301059039665
the difference in productivity between 0-1 mode vs. working within a big team at a large co seems universally true even pre-chatgpt. it's really easy to be "productive" when (a) you're the only person driving decision making and implementation, and (b) you're still <20% effort…
There’s a phenomenon where talented individuals can achieve 10x their potential thanks to AI when working on their own thing But when the same individual is put into a large organization, they at most increase their potential by 20% (and sometimes it’s even decreased) This is…
