Yet while a number of studies have endeavored to examine the impact of automation writ large on the employment picture, fewer have homed in on machine learning specifically.

And if anyone’s well-equipped to do so, it’s Dr. Tom Mitchell. As the first Chair of the first-ever Machine Learning Department at a major university, at Carnegie Mellon, and an accomplished researcher in the field, he’s uniquely qualified to judge how machine learning will creep into our work. I might as well mention that he literally wrote the textbook on machine learning, too. It’s called, wait for it, Machine Learning.

In 2017, along with fellow business automation scholar Erik Brynjolfsson, Mitchell published a study in Science that detailed the raft of impacts machine learning was likely to have on different kinds of jobs.
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