> The flip scenario: AI unlocks massive demand for developers across every industry, not just tech. Healthcare, agriculture, manufacturing, and finance all start embedding software and automation. Rather than replacing developers, AI becomes a force multiplier that spreads development work into domains that never employed coders. We’d see more entry-level roles, just different ones: “AI-native” developers who quickly build automations and integrations for specific niches.

This is what I expect to happen, but why would these entry-level roles be "developers". I think it's more likely that they will be roles that already exist in those industries, where the responsibilities include (or at least benefit from) effective use of AI tools.

I think the upshot is that more people should probably be learning how to work in some specific domain while learning how to effectively use AI to automate tasks in that domain. (But I also thought this is how the previous iteration of "learn to code" should be directed, so maybe I just have a hammer and everything looks like a nail.)

I think dedicated "pure tech" software where the domain is software rather than some other thing, is more likely to be concentrated in companies building all the infrastructure that is still being built to make this all work. That is, the models themselves and all the surrounding tools, and all the services and databases etc. that are used to orchestrate everything.