Last year, we showed that currently demonstrated technologies could automate 45 percent of the activities people are paid to perform and that about 60 percent of all occupations could see 30 percent or more of their constituent activities automated, again with technologies available today. but we released some initial findings late last year and are following up now with additional interim results. For interim insights on our core findings, see Michael Chui, James Manyika, and Mehdi Miremadi, “ Four fundamentals of workplace automation,” McKinsey Quarterly, November 2015. The full results, forthcoming in early 2017, will include several other countries, 1 1. Using data from the US Bureau of Labor Statistics and O*Net, we’ve quantified both the amount of time spent on these activities across the economy of the United States and the technical feasibility of automating each of them. These conclusions rest on our detailed analysis of 2,000-plus work activities for more than 800 occupations. ![]() Automation, now going beyond routine manufacturing activities, has the potential, as least with regard to its technical feasibility, to transform sectors such as healthcare and finance, which involve a substantial share of knowledge work. While automation will eliminate very few occupations entirely in the next decade, it will affect portions of almost all jobs to a greater or lesser degree, depending on the type of work they entail. In fact, as our research has begun to show, the story is more nuanced. ![]() ![]() The discussion tends toward a Manichean guessing game: which jobs will or won’t be replaced by machines? As automation technologies such as machine learning and robotics play an increasingly great role in everyday life, their potential effect on the workplace has, unsurprisingly, become a major focus of research and public concern.
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