That's going to be a swift kick to your economy, no matter how strong.
I recently had an LLM write a function for me that, for a given RGB color value and another integer n > 1, returned to me a list of n RGB colors equidistantly and sequentially spaced around the color wheel starting at the specified RGB value.
For a given system I'm creating, I might have lots of such tasks. That collection of tasks is something that did matter and took some education and skill to complete well.
In the pre-LLM world - assuming I was too busy to handle all the tasks myself - I would have delegated them to a junior software engineer.
In a post-LLM world, I just ask the LLM to implement tasks like that, and I review the code for correctness.
That seems like a pretty transformational change to me, and not just some kind of "rot" being removed from the process.
I think that the OP's point was that it doesn't matter whether it's "real AI" or not. Even if it's just a glorified auto-correct system, it's one that has the clear potential to overturn our information/communication systems and our assumptions about individuals' economic value.