AI may separate making good things from becoming capable of making and judging them.
Judgment usually develops by being wrong in useful ways.
You predict. You choose. Something happens. You discover what you failed to notice.
AI can remove the mechanical work and leave that cycle intact.
Or it can remove the cycle.
Then the problem is not merely that machines do more. It is that fewer people acquire the perception needed to tell good work from plausible work.
That loss may be hard to see.
Judgment is partly the ability to notice differences. Lose some of that ability and you also lose some ability to notice what has been lost.
For a long time, production trained people almost accidentally. Apprentices became experts because the work needed doing. Juniors became seniors because someone had to do the junior work first.
If AI no longer needs people inside that process, producing expertise becomes a separate task.
And expertise is not the whole question.
Sometimes doing is part of the value.
A letter means something partly because someone gave part of an afternoon to writing it.
The aim should not be to preserve effort.
It should be to notice which effort was only friction—and which was teaching us to see, understand, judge, or care.