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    AI

    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.

    JL
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    4 Sources, 39d ago, first seen 39d ago

    TLDR

    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.

    Combined views

    282.5K

    4 Sources, first seen 39d ago

    Combined views

    282.5K

    4 Sources, first seen 39d ago

    1.5K likes
    1.5K likes
    132 comments
    607 saves
    98 reposts
    Featured Source
    132 comments
    607 saves
    98 reposts

    Sentiment

    Positive91.3%8.7%Negative

    Summary

    Sentiment

    Positive91.3%8.7%Negative

    Positive accounts highlighted how AI boosts solo productivity and decision speed by bypassing large-team bureaucracy, while negative replies questioned whether solo benchmarks apply to coordinated organizations.

    Based on 23 sentiment-bearing replies from 23 accounts across 3 conversations.

    Summary

    Positive accounts highlighted how AI boosts solo productivity and decision speed by bypassing large-team bureaucracy, while negative replies questioned whether solo benchmarks apply to coordinated organizations.

    Based on 23 sentiment-bearing replies from 23 accounts across 3 conversations.

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    4 Sources

    @zarazhangruiThere’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 why I’m seeing more and more talented people leave large companies. (The only exceptions are probably top AI labs like OpenAI/Anthropic)
    @hnshahAI 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.
    @peteskomorochRT @zarazhangrui: There’s a phenomenon where talented individuals can achieve 10x their potential thanks to AI when working on their own th…
    @jerryjliu0the 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 in the 80-20 rule. it becomes a lot harder to contribute at the same pace, almost by design, when you share decision making within a larger team and have to optimize for quality AI in the hands of smart people probably makes this contrast even more apparent. it might also explain why the fastest moving products at large companies start with extremely small pockets of people (e.g. boris with claude code)

    4 Sources

    @zarazhangruiThere’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 why I’m seeing more and more talented people leave large companies. (The only exceptions are probably top AI labs like OpenAI/Anthropic)
    @hnshahAI 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.
    @peteskomorochRT @zarazhangrui: There’s a phenomenon where talented individuals can achieve 10x their potential thanks to AI when working on their own th…
    @jerryjliu0the 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 in the 80-20 rule. it becomes a lot harder to contribute at the same pace, almost by design, when you share decision making within a larger team and have to optimize for quality AI in the hands of smart people probably makes this contrast even more apparent. it might also explain why the fastest moving products at large companies start with extremely small pockets of people (e.g. boris with claude code)