Can you give a couple of concrete examples when you claim machine learning is 'eating conventional software development from the inside out'?
This is not my phrasing but as someone that's deployed several models in production that have replaced existing conventionally written and maintained areas of code I believe it.
The significance is the ability for machine learning to displace traditional software development is small but growing and there's no real practical limit.