Signs of 'deskilling,' where human skill regresses as AI handles tasks, are appearing among professionals such as doctors and developers, Chosun Ilbo reported—a warning that gaining efficiency may dull core competence.

Deskilling is the weakening of proficiency as reliance on tools cuts how often people judge and perform themselves. The more AI drafts and assists diagnosis, the less people may train at asking 'why.'

The fix is not rejecting AI but designing to preserve human judgment—keeping humans to verify and decide at key steps, and drilling fundamentals repeatedly in education and training.

This paper relays the impact of technological change on work and learning in a balanced way. AI is a powerful tool, but its value is whole only when used to grow human capability.