That doesn't track at all IME.
Programming is not something you can teach to people who are not interested in it in the first place. This is why campaigns like "Learn to code" are doomed to fail.
Whereas (good) programmers strive to understand the domain of whatever problem they're solving. They're comfortable with the unknown, and know how to ask the right questions and gather requirements. They might not become domain experts, but can certainly learn enough to write software within that domain.
Generative "AI" tools can now certainly help domain experts turn their requirements into software without learning how to program, but the tech is not there yet to make them entirely self-sufficient.
So we'll continue to need both roles collaborating as they always have for quite a while still.
Conversely, good developers can now leverage LLM’s to master any domain.
Hhmm I think that's more difficult than using these tools for creating software. If generated software doesn't compile, or does the wrong thing, you know there's an issue. Whereas if the LLM gives you seemingly accurate information that is actually wrong, you have no way of verifying it, other than with a human domain expert. The tech is not reliable enough for either task yet, but software is easy to verify, whereas general information is not.