AI Mania Is Eviscerating Global Decision-Making

It's wild how different this person's experience has been from mine. I guess I could see how a team of people would see lower (or no) productivity gains than an individual when it comes to using LLMs. My theory is, as teams scale, doing work faster is always a coordination problem and that coordination gets harder as you add more workers, so each worker has more and more of their productivity stripped as pure overhead. This happens with LLM "workers" as well, except an LLM cannot effectively supervise itself whereas a human worker can, so adding an LLM adds the overhead penalty to the human operator. And human operators begin to drown in that overhead, and their own personal productivity suffers.

I work at F500 company and this is not my experience at all. We are rolling out claude to basically everyone in my division and people are doing pretty amazing things with it and the uptake is high. Building “skills” around specific workflows has been very useful. We have regular training where we meet to share “skills”. Its exciting. Its not all rainbows but the impact and growth potential is very clear to me. This blog seems to reflect a 2024-ish state of affairs.

"All of the AI projects we have observed as a team are failing. Every single one – we have seen 0% success in a year and a half, not only amongst projects we have been asked to participate in2, but even within projects that we have observed in passing while doing totally unrelated work."