Based on what exactly? ML is not that common in adtech companies, many just lie about some basic regression testing. Some even just put up a facade in front of grunts with excel.

Even the most sophisticated ad modeling pales in comparison to fintech and bioscience/pharma where the real money is.

Yikes! Why the hyperbole? I'm sure if someone is clever enough to learn and be productive with ML, they'll be able to pivot and be productive in another field and/or using other tools.

To me, the best applications are going to be those by which the human and the ML'd AI will benefit each other by a greater degree than if each were on their own.

At my particular company in logistics, I can see many places where it can be applied- especially in the dispatching of deliveries and helping to set up a call with customer support.