I was listening to Lex Fridman's AGI Podcast where Vladimir Vapnik came to talk about Statistical Learning[0] and his take on deep learning as compared to statistics/mathematics was dismissive. To paraphrase from memory, the problems deep learning is solving is not hard enough.
There has been a rift between the statistical community and ML community for a while and I see it similar to the arguments one makes when it comes to sciences vs engineering.