Pretty sure the references you are referring to are about losing coding skills, which is a very different set of skills than language skills. The kagi link (1) a sibling comment left was an example of an AI that can improve writing while also informing about better writing style. As opposed to the slop grenade, which is outsourcing thinking to AI.

1. https://news.ycombinator.com/item?id=48219992#48221497

The point is, you don't have to outsource your thinking to use AI, if it's a good AI tool. But most AI companies are coming from a hyper-scaling mindset where addicting the user to the product is the same as substituting hard thinking for easy dopamine hits. The most ridiculous benchmark I have seen in AI is the tendency to say the longer an agent can work and some minimal accuracy is a good thing. That just means you have 30 steps to find an error in instead of 3, and you are much more likely to just abdicate thought instead of the hard work of proofing 30 steps yourself. AI companies and evaluators are losing the point.