Radiology has embraced AI enthusiastically, and the labor force is growing nevertheless. The augmentation-not-automation effect of AI is despite the fact that AFAICT there is no identified “task” at which human radiologists beat AI. So maybe the “jobs are bundles of tasks” model in labor economics is incomplete. […]
Can you break up your own job into a set of well-defined tasks such that if each of them is automated, your job as a whole can be automated? I suspect most people will say no. But when we think about other people’s jobs that we don’t understand as well as our own, the task model seems plausible because we don’t appreciate all the nuances.
Nevertheless, my take on this is that while jobs won’t be fully automated, one specialist would be able to do more work, so it all boils down to the classic supply and demand problem. I believe that in most areas the demand will still outweigh the supply, but not in all of them. See Jevons paradox.