There's a balance to be struck here. Relying on automation tooling wholesale will always make you worse. There's a reason that even though we have calculators, it's important to know the fundamental maths that would let you perform those same calculations yourself. For the majority of people, it's probably not critical, but if you need to validate that information, you cerainly want to be able to understand how the original conclusion was drawn.
The same goes for software engineering, where AI is seeing heavy use. People asking it to build who programs receive bug riddled and inefficient code, but software engineers who are using it for rapid prototyping or to reduce the work of rewriting common functions in different projects are going to be more effective because they understand what the resulting structure should look like.
AI is not a replacement for the human, and if there's a future for it, it will be assistive to the fundamentals and knowledge human specialists already posess. But that requires the continued education and development of skills within the industries these tools are deployed in.