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 being behind the times, etc.

Now we see that basically no one actually knows what's going on. My guess is when the dust settles a lot of things will be explained, but it won't be as different from established statistical and information theory as some would make it out to be. That is, some of this is new discovery and figuring out new territory, and some of it is neglecting basics that have been there all along.

My guess is the next phase of this is basically comp sci ML research rediscovering mathematical statistics and information theory.