Secondly, the number of jobs requiring thinking in an ill-defined framework these days is shrinking rapidly.
This is not specifically caused by machine learning, but rather by the desire for predictable timelines / cost savings / metrics gathering. But it has set the stage for AI automation.
Take law and health care, for example:
* Law firms are consolidating, and lawyers can now spend their entire career working on one small, specialized aspect of a field.
* Primary care physicians barely are allotted just enough time to refer you to a specialist. The specialist has just enough time to order tests.