So I'll accept you might be right, except: 80% of real business problems are going to be solved by figuring out how to get XGBoost working with it. And you're

So I'll accept you might be right, except: 80% of real business problems are going to be solved by figuring out how to get XGBoost working with it. And you're done. Research is valuable, and there are some problems where doing real thinking is useful, but pareto principle is at play here: a lot of people just aren't going to need to do that, for the same reason most developers don't need to know the difference between a merge sort and a quick sort: sorting was commoditised into most programming languages decades ago. Same deal, different tech with machine learning. This is not a bad thing, and there will be a bumpy road, and there will always be a market for experts to help with the edge cases, but most firms will drop them like hot bricks within a decade.