This article by McKinsey examines 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. Within each category, it looks at the sectors and occupations where robots and other machines are most - and least - likely to serve as substitutes in activities humans currently perform.  It discusses how evolving technologies, such as natural-language generation, could change the outlook, finding that the biggest technological breakthroughs would come if machines were to develop an understanding of natural language on par with median human performance. In retailing, such natural-language advances would increase the potential for automation from 53% of all labour time to 60%. In finance and insurance, the leap would be even greater, to 66%, from 43%. The article concludes by considering the implications for senior executives who lead increasingly automated enterprises.