![]() Results differ significantly by country, reflecting the mix of activities currently performed by workers and prevailing wage rates. We mainly use the midpoint of our scenario range, which is automation of 15 percent of current activities. Please email us at: these factors into account, our new research estimates that between almost zero and 30 percent of the hours worked globally could be automated by 2030, depending on the speed of adoption. If you would like information about this content we will be happy to work with you. We strive to provide individuals with disabilities equal access to our website. Other factors include the cost of developing and deploying automation solutions for specific uses in the workplace, the labor-market dynamics (including quality and quantity of labor and associated wages), the benefits of automation beyond labor substitution, and regulatory and social acceptance. While technical feasibility of automation is important, it is not the only factor that will influence the pace and extent of automation adoption. However, in about 60 percent of occupations, at least one-third of the constituent activities could be automated, implying substantial workplace transformations and changes for all workers. Very few occupations-less than 5 percent-consist of activities that can be fully automated. We previously found that about half the activities people are paid to do globally could theoretically be automated using currently demonstrated technologies. What impact will automation have on work? How do we manage the upcoming workforce transitions?. ![]() ![]() What will automation mean for skills and wages?.Will there be enough work in the future?.What are possible scenarios for employment growth?.What impact will automation have on work?.Our key finding is that while there may be enough work to maintain full employment to 2030 under most scenarios, the transitions will be very challenging-matching or even exceeding the scale of shifts out of agriculture and manufacturing we have seen in the past. The results reveal a rich mosaic of potential shifts in occupations in the years ahead, with important implications for workforce skills and wages. Briefing Note (PDF-2MB) Executive Summary (PDF-2MB) Full Report (PDF-9MB)īuilding on our January 2017 report on automation, McKinsey Global Institute’s latest report, Jobs lost, jobs gained: Workforce transitions in a time of automation (PDF–5MB), assesses the number and types of jobs that might be created under different scenarios through 2030 and compares that to the jobs that could be lost to automation.
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