Maybe LLMs oneshotted the right way, maybe it needs fixes, maybe some fundamentals are misunderstood, in any case it’s easier for me to know what I need to build, for the PM to be aware of some limitations (LLMs do the job of pushing back and explaining) and overall for us to have to the point conversations.

It is somewhat orthogonal to what you say, when you focused on dev seniority, so that part stands true.

But I think “PMs armed with an LLM” can, when properly used, add a lot of value to the dev process.

When I use them myself, I just see them crushing it and think, this thing is now doing my job for basically $0, I am no longer economically relevant. But I've spent a lifetime learning to program, so it's possible I only get good results because of the way I think to prompt it.

I really can't get the outside view so I can't decide whether AI is going to make me homeless or not. I think we need the videos.

I'm under no illusions about the goals of AI company execs to justify their valuations (and expenses!) by capturing a huge chunk of global employment value, and the CEOs of many big companies whose financials are getting squeezed for all sorts of reasons and are all too happy to jump on the efficiency narrative of AI to justify layoffs that would have been necessary anyway. Also, AI will keep getting better and it could certainly will move up the food chain—it's already replaced a lot of what I did and I assume capabilities will continue improving for a while even after model capabilities plateau as we improve harnessing, tooling and practice.

So yeah, it can replace a lot of what we do, but I'm not running scared because every step of the way I've seen software people are the ones who actually get the most out of LLMs. Sure it can write all the code so the job changes, but even our workflows completely change, it's giving us more of an edge (if we're open to it) than it does to anyone non-technical. At this stage it still feels empowering on an individual level.

Now I do worry about the consolidation of power and wealth in a tech oligarchy, but that's an issue we need to deal with at a societal and government policy level. Essentially, I can see AI as having radically different outcome potential based on how it's governed. In one way it can be very empowering to small teams, and reduce coordination costs, and increase competition by allowing smaller groups of people to make more scalable companies. But it could also lead to unprecedented concentration of wealth and power if a small set of AI companies are allowed to capture all the economic gains. I don't think there are any easy answers, but I do feel hopeful that we can figure something out as a society—it certainly seems to be creating some unified sentiment across political lines that have been so polarized and divisive over the last decade.