That is already "related to what people can afford", in attractive places or not.
And that to write the business analysis that the AI can actually turn into working code requires senior developers.
The only argument we have so far is wild extrapolation and faith. The burden of proof is on the proclaimer.
There could be some scenario where it is advantageous to have humans working with AI. But if that isn't how reality plays out then companies won't be able to afford to pay people.
We talk about AI replacing a workforce, but your observation that it's more about replacing applications is spot on. That's definitely going to be the trend, especially for traditional back-office processing.
LLMs act as interfaces to applications which you are capable to build yourself and run your own hardware, since you are much more capable.
It's going to be really fun for us people who love to write unicode symbols into numeric input boxes and such funny things.
([^1]: They have been at it for a long while now, a few thousand years?)
An engineer shackled to an LLM has about 80% output.