It's just a process of exploration, people trying out ideas to see what works. Over time, with sharing of results, we will gradually discover more nuanced approaches, but the exploration phase is necessary in order to map a path forward and train a generation of ML engineers and PM's who don't have seniors to learn from.

Of course it sucks on the short term, but there is zero chance the field will be abandoned. It has enough uses already.