Earlier quoted context omitted.
It's the uncanny valley of AI. It's still not quite good enough yet that you can trust it blindly on a big codebase, so you still have to read and understand everything - which is often harder than just writing it up yourself. EDIT: don’t get me wrong. I still think AI is incredibly useful for a lot of tasks! But when implementing an architecturally hairy thing, I find it less stressful and equally quick to jump down…
I'd say it's more about learning how to organize your work more efficiently. If you think about a product like marble: it's something that most be chiseled out of time. Some people can chisel better products: the AI is just a better chisel. Sometime still has to guide the chisel and judge the art/product. In our cases, the market judges products.
It happens, but it's rare. When last did a product take over a market without 100s of millions, sometimes even billions, of VC dollars?
There is no motivation to build a better mousetrap today, because the drooling idiot with a Claude account will look at how quick you signup users, clone it in a week (hey, it only needs to be superficially the same), and get VC money to dump until you go out of business.