The logic of folksonomies works just as well for LLMs and humans.

Imagine tagging a person, and being about to put on the tag #husband, and seeing in the UI that there are ten times more uses of #spouse.

It makes sense to tag #spouse because that will overlap with other programs and usage.

That logic of "is this a close enough match to be worth doing the more popular tag" can be done by a user or an LLM equivalently.