This is because this is what the tendency has been like in practice for many years. While the possibilities are good, living in the world of what-if for ML is v

This is because this is what the tendency has been like in practice for many years. While the possibilities are good, living in the world of what-if for ML is very similar to the world of what-if for blockchain. It is very promising but unfortunately the past trend with reality at both a surface and deeper dynamics level does not seem to agree with it being a solid motif long-term. This is why people are pessimistic about ML/AI in people-facing positions. It has happened with automation in the past, it is _currently happening_ with ML/AI systems in customer-facing applications, and the momentum of the field is headed in that direction. To me, it would be very silly to assume that the field would make a sudden 180 from decades of momentum in a rather established direction, with no established reason other than the potential for it to be good. This is why people tend to generally be upset about it, is my understanding. It's a good tool, and it is oftentimes not used well.