The limits of ML (as we know it) is still not fully known, so it's worth throwing a wide range of problems at it to see what sticks. I think that's why you see talk of ML everywhere, because people are still feeling out the space, seeing how far ML can go. Eventually, the dust will settle and the next big thing will come along.