Skill retardation is actually beyond the point. I'm largely raising a counter example for why the following (rough paraphrasing) is not sound: "SOME people figured out how to use these tools to go 2x to 4x faster, you do the same, or you're fired!".
Let's say "n" is the sum complexity of a system. While some developers can take an approach that yields a development output of: (1.5 * log n), the AI tools might have a development output of: (4 * log n)^4/n. That is, initially more & faster, but eventually a lot less and slower.
The parable of the soviet beef farmer comes to mind: In this parable, the USSR mandated its beef farmers increase beef output YoY by 20%, every year. The first year, the heroic farmer improved the health of their livestock, bought a few extra cows and hit their target. The next year, to achieve 20% YoY, the farmer cuts every corner and maximizes every efficiency, they even exchange all their possessions to buy some black market cows. The third year, the farmer can't make the 20% increase, they slaughter almost all of their herd. The fourth year, the farmer has essentially no herd, they can't come close to their last years output - let alone increase it. So far short of quota, the heroic beef farmer then shot himself.
(side-note: Which is also analagous to people not raising their skill levels too, but not my main point - I'm more thinking about how development slows down relative to the complexity and size of a software system. The 'not-increasing skills' angle is arguably there too. The main point is short term trade-offs to achieve goals rather than selecting long term and sustainable targets, and the relationship of those decisions to a blind demand to increase output)
So, instead of working on the insulation of the home, instead of upgrading the heating system, to heat the home faster we burn the furniture. It works.. to a point. Like, what happens when you run out of furniture, or the house catches fire? Seemingly that will be a problem for Q2 of next year, for now, we are moving faster!!
I think this ties into the programming industry quite heavily from the perspective where managers often want things to work just long enough for them to be promoted. Doesn't have to work well for years, doesn't have to have the support tools needed for that, nope - just long enough that they can get the quarterly reward and then move on to not worry about the support mess left behind. To boot too, the feedback cycle for whether something was a good idea in software or not is slow, oftentimes years. AI tools have not been out for a long time, just a couple years themselves, it'll be another few before we see what happens when a system is grown to 5M lines through mostly AI tooling and the codebase itself is 10 years old - will that system be too brittle to update?
FWIW, I'm of the point of view that quality, time and cost are not an iron triangle - it is not a choose two situation. Instead, quality is a requirement for low cost and low time. You cannot move quickly when quality is low (from my experience, the slowdown of low quality can manifest quickly too - on the order of hours. A shortcut taken now can reduce velocity just even later that same day).
Thus, mandates from management to move 2x to 4x faster, when it's not clear that AI tools actually deliver 2x to 4x benefits over the longer term (perhaps not even in the shorter term), feels a lot like the soviet beef farmer parable, or burning furniture to stay warm.