Never skilling.
Also known as: Never-skilling
Never skilling is when someone does not develop a skill in the first place because AI does the work during the time they would normally have learned it. It is different from deskilling, which is losing a skill you already had, and mis-skilling, which is learning an AI’s mistake as if it were right. The concern has been raised in medical education, where researchers worry that trainees may appear capable with AI beside them without developing the foundational reasoning skills they need to work independently. The evidence is still developing. The term appeared in medical education research before the 2026 Nature Medicine paper, including in 2025.
In the wild
“trainees who rely on AI during the early formative years of clinical education may fail to develop the foundational reasoning skills that safe, independent practice requires. We refer to this as ‘never-skilling’”
Seen here: Nature Medicine, May 2026
For AI users
If you are learning something that matters, do some of the work without AI first. Form your own view, develop your methods, and practise your critical thinking before you look at what AI says. Then you can use AI to check yourself.
For business leaders
This is a pipeline and future quality problem. If juniors never do the groundwork and develop their critical thinking, where do your future strong senior people come from? And who judges whether AI is giving the right answers? Decide which skills people still need to develop without AI, and make space for them to practise.