Machine learning has been applicable to businesses since the late 90's and early 00's (e.g. recommendation engines, basic speech recognition for people with special needs) and existed as a research field decades earlier.
The star researchers who command top compensation in the field today often have over a decade of experience.
I agree that a much larger pool of graduates might dampen average compensation in the future somewhat. A key distinguishing feature of these more complex skills (relative to HTML, etc) is that much fewer percentage of people are capable of mastering them, and it takes longer commitment as well.
Relative to pure physics and biology, the applications are much broader and thus better prospects for the experts.
Do senior petroleum engineers face the career issues you suggest?
The star researchers who command top compensation in the field today often have over a decade of experience.
I agree that a much larger pool of graduates might dampen average compensation in the future somewhat. A key distinguishing feature of these more complex skills (relative to HTML, etc) is that much fewer percentage of people are capable of mastering them, and it takes longer commitment as well.
Relative to pure physics and biology, the applications are much broader and thus better prospects for the experts.
Do senior petroleum engineers face the career issues you suggest?