Toward the end of this article, we discuss how evolving technologies, such as natural-language generation, could change the outlook, as well as some implications for senior executives who lead increasingly automated enterprises.ĭownload and print our poster on “Where machines could replace humans-and where they can’t (yet)” Within each category, we discuss the sectors and occupations where robots and other machines are most-and least-likely to serve as substitutes in activities humans currently perform.
In this article, we examine the technical feasibility, using currently demonstrated technologies, of automating three groups of occupational activities: those that are highly susceptible, less susceptible, and least susceptible to automation. 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. McKinsey’s Michael Chui explains how automation is transforming work.
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