I find the article interesting and (largely) correct in its analysis of how an individual can use AI. What I think is missing is that organizations (like enterprises, research labs, etc), have multiple people and multiple experts in different fields. So you can have BOTH the AI engineer and the domain expert in the field. Not only can you have this but this is actually common in most large companies. The difficulty lies in making the collaboration work and the information flow correctly so that the domain expertise of the expert can flow into the software product built by the engineer.

A mental model I use for this is that we have users, builders and experts when creating AI products. For most individual use cases a person is the user, builder and expert: I make a prompt about how to write code in a way that I like that I will later use. Coding agents moved into the direction of builders that were also experts in the field iterating on a product for third-party users. The next frontier will be finding the right patters for teams to capture expert knowledge handle the collaboration between engineer/builders and experts. Just having PMs handle that interaction will be a super bottleneck.

My cofounder and I are actually working on a project in that direction (https://www.getvalmar.com) --> we'd love any input on how engineers prefer performing feedback loops and getting input from subject matter experts :)