The problem is this is the difference between one or two obscure skills fading away with disuse (normal); and potentially all ability to load programming information into your working memory being affected; as you didn't develop the neural pathways or knowledge of the codebase (not normal or desirable)

While it is a spectrum around when you choose to use AI, what seems increasingly common in my experience is some people trying to go "all in", feel frustration and burnout when they are relegated to babysitting an LLM; get angry that it has made a mistake, misinterpretation or simply left something obvious out; then thinking it's user error/they didn't prompt well enough/it is their fault. At the same time, they are increasingly cognitively blind to mistakes at a review stage, so they find out the hard way in production and enter into a cycle of hyper vigilance/distrust/justifiable paranoia.

In those cases, it's a recipe for skills loss and depression over the long term and a vicious cycle.