Even if that happens maybe the ones that know how programming languages work will be the good ones, as today a good programmer knows about OS’, architecture or compilers.
There will be more people using the ai to program computers, but the ai interface may be so easy that it's no longer a skill.
I am trying to build my own Language Model using Pytorch and it is much easier than a lot of the stuff I've had to do as a traditional SWE over the years. My understanding is that the difficulty comes from training massive models that cannot fit on a single GPU efficiently, so more of a software problem than a maths problem.
Am I suffering from the Dunning-Kruger effect ? Or is the genius of the field in the combination of this limited set of techniques ?