Jobs lost, jobs gained: Workforce transitions in a time of automation
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Experts from many international, regional and national agencies generously share their views, experiences and findings on skills, helping policy-makers among other stakeholders to understand the linkages between education, training and the world of work, and how to integrate skills into national development planning to promote employment and economic growth.
Anticipating and matching skills needs
Anticipating and building skills for the future is essential to a rapidly changing labour market. This applies to changes in the types and levels of skills needed as well as in occupational and technical areas. Effective methods to anticipate future skills needs and avoid potential mismatches include: sustained dialogue between employers and trainers, coordination across government institutions, labour market information systems, employment services and performance reviews of training institutions.
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Research papers
Working papers, reports, and other publications from international organizations, academic institutions and bilateral agencies. Research findings to stimulate informed debate on skills, employment and productivity issues.
The report is part of the McKinsey Global Institute’s (MGI) research program on the future of work, and is by no means the final word on this topic. It builds on MGI’s previous research on labor markets, incomes, skills, and the expanding range of models of work, including the gig economy, as well as the potential impacts on the global economy of digitization, automation, robotics, and artificial intelligence.
Building on its January 2017 report on automation, McKinsey Global Institute’s (MGI) 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. MGI’s 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.