Just commenting to agree with this. I've done a lot of ML use case ideation work, and what happens so often is the ML folks latch on to something that ML may be able to do, but that doesn't move the needle at all in terms of doing the work faster or better.

Often, the ML provides an extra layer that slows things down, even if it's working at state of the art AUROC or whatever we're trying for.