McKinsey Company Occupations requiring higher levels of education and

Mckinsey company occupations requiring higher levels

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McKinsey & Company Occupations requiring higher levels of education and experience have lower automation potential Example occupations Logging equipment operators Taxi drivers Stock clerks Travel agents Dental lab technicians Fire fighter Nursing assistants Web developers Electricians Legal secretaries Lawyer Doctors Teacher Statisticians Chief executives 36 49 56 78 64 51 44 22 High school or some experience Automatable Some post-secondary education Bachelor and graduate degree Non-automatable Less than high school Technical automation potential of work activities by job zone in the US % SOURCE: BLS 2014; O*Net; Global Automation Impact Model; McKinsey analysis
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13 McKinsey & Company Projected impact to total employment in earliest automation scenario Share of 2014 FTE hours with potential to be automated, 2016-2030 10 10 9 7 8 11 12 5 6 5 7 2 3 0 0 0 3 6 5 5 4 0 6 6 4 1 1 4 5 4 0 4 2 5 6 5 7 2 3 3 3 47 32 1 2 US 2 2 2 2 1 0 China 1 Japan 48 54 1 1 2 3 0 2 Mexico Germany 2 2 1 1 2 India 19 2 2 1 0 3 27 Government and Administration Other Services Transportation and Warehousing Manufacturing Retail Trade Construction Other minimal impact sectors 1 Healthcare Wholesale Trade Agriculture Accommodation and Food Services By 2030, automation has the potential to replace up to 47 percent of work hours in the US in the earliest adoption scenario Midpoint automation scenario, country aggregate 9% 13% 16% 25% 25% 28% SOURCE: McKinsey Global Institute analysis
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