McKinsey Study: Robots Could Threaten 800M Jobs by 2030

A new study by the McKinsey Global Institute estimates that between 400 million and 800 million of today’s jobs will be automated by 2030.


A new study by the McKinsey Global Institute estimates that between 400 million and 800 million of today’s jobs will be automated by 2030.

The research adds a fresh perspective to what is becoming an increasingly concerning picture of the future employment landscape.

“We’re all going to have to change and learn how to do new things over time,” institute partner Michael Chui told Bloomberg.

In the United States, it appears it’s the middle class that has the most to fear, with office administrators and construction equipment operators among those who may lose their jobs to technology or see their wages depressed to keep them competitive with robots and automated systems.

As many as 375 million workers around the world may need to switch occupational categories and learn new skills.

What the Future of Work Will Mean for Jobs, Skills, and Wages

The technology-driven world in which we live in is a world filled with promise but also challenges.

Cars that drive themselves, machines that read X-rays, and algorithms that respond to customer-service inquiries are all manifestations of powerful new forms of automation.

Related: 10 Jobs Robots Will Never Replace

Yet even as these technologies increase productivity and improve our lives, their use will substitute for some work activities humans currently perform - a development that has sparked much public concern.

Building on their January 2017 report on automation, McKinsey Global Institute’s latest report, Jobs lost, jobs gained: Workforce transitions in a time of automation, 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.

The results reveal a rich mosaic of potential shifts in occupations in the years ahead, with important implications for workforce skills and wages.

The 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.



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