One skeptical way of looking at it is that the the explosion of "data science" and ML is basically comp sci running into modeling space in a way it never had before, and getting into territory that it wasn't equipped to handle. It wasn't that long ago that there were posts on here about statisticians giving conference keynotes about how data science was basically old wine in new bottles, and were being ridiculed for…
ML is actually overthrowing some truism from classical statistics. Classical statistics did not predict double descent phenomena. The whole idea, that you should not have more parameters than data, was wrong.
I think the story with that isn't finished yet, and in some ways is the perfect example of what I mean.