I think that person is talking about “replacing the department” with ONE pathologist, so the repetitive, tedious portions can be automated, and a human specialist to confirm or mark exceptions - not have AI determine my grandmother’s cancer treatment.

I’m not saying it’s easier to train a bus driver, but I am challenging the notion that AI will replace blue collar worker first (or only them), and that somehow will free us up to pursue more white collar or professional careers.

And those careers are not immune, IBM’s Watson has been advising lung cancer treatment at Sloan-Kettering nearly 10 years. AI’s playing GO or Jeopardy may seem trivial but represent accelerating change in AI space and thus real challenges for many career fields. And the higher salary jobs represent that much greater incentive for automation.

I wasn’t making a jab that doctors, but the complexity of your job is no guarantee that it will be replaced only long after truck are driving themselves.

And who knows, maybe in 10 years I will be comfortable having an AI provider deciding my grandmas treatment - and I may not be the minority.

I don’t think anyone is projecting AI/automation to replace pathologist wholesale, but it can certainly increase efficiency so fewer are needed per x number of patients. So while no one’s job is threatened currently, that’s the trend the other person is pointing out.

And I think you are grossly underestimating the difficulty of AI replacing drivers.

It may be a lot easier to train a human truck driver than a clinician but it’s far from trivial to make that same comparison for AI drivers and clinicians.

Ultra precise maps, real time software response with no slowing or freezing, pattern recognition in dark lighting, inclement weather, worn road signs, communications between AI vehicles, hackability are just a few that comes to mind. It’s much more like a generalist. The 10 years of education is probably an easier problem to solve than millions of years of evolutionary response.