Sure, tools make people worse at doing the thing without tools.

Using AutoCAD made draftsmen worse at drafting, that doesn't matter because there is no occasion where you need to draft complex plans without a computer. If AI diagnosis makes doctors worse at reading MRIs... that would only matter in a world where they're reading MRIs but also don't have access to a computer. There is no hospital that has a functional MRI machine that wouldn't be able to access these tools.

The important thing is that the doctors, when using these AI tools, are measurably more effective. The result is the thing that matters for public health, not any individual's ability to operate without their tools.

https://newsnetwork.mayoclinic.org/discussion/mayo-clinic-ai-detects-pancreatic-cancer-up-to-3-years-before-diagnosis-in-landmark-validation-study/

Researchers used the AI model to analyze nearly 2,000 CT scans, including scans from patients later diagnosed with pancreatic cancer — all originally interpreted as normal. The system, called the Radiomics-based Early Detection Model (REDMOD), identified 73% of those prediagnostic cancers at a median of about 16 months before diagnosis — nearly double the detection rate of specialists reviewing the same scans without AI assistance.

Doubling the early detection rate of one of the most deadly types of cancers will result in many more lives being saved.

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.