Jobs Lost, Jobs Gained: Workforce Transitions in a time of automation
This report examines the impact of automation on jobs and the workforce up to 2030, highlighting the potential for significant job transitions and the need for workforce retraining.
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Quick Facts | |
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Report location: | source |
Language: | English |
Publisher: | McKinsey |
Publication date: | December 1, 2017 |
Authors: | Darien Lee, Gurneet Sign Dandona, Jacques Bughin, James Manyika, Jonathan Woetzel, Julian Albert, Michael Chui, Nicholas Fletcher, Nik Nayar, Parul Batra, Rachel Wong, Ryan Ko, Saurabh Sanghvi, Sonica Vora, Susan Lund |
Time horizon: | 2030 |
Geographic focus: | United States, Global, Germany, Japan, China, India, Mexico |
Page count: | 160 |
Methods
The research method involved analyzing potential job displacement due to automation and job creation from various economic trends. It used a general equilibrium model to explore the impact on employment and wages, considering different re-employment rates and scenarios for automation adoption.
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Key Insights
The McKinsey Global Institute report explores the effects of automation technologies, including AI and robotics, on jobs and the workforce through 2030. It predicts significant productivity and economic growth benefits but also substantial workforce transitions. Automation will change and create occupations, with varying impacts across countries. The report emphasizes the importance of robust economic growth, retraining, and policy support to manage these transitions and ensure full employment.
(Generated with the help of GPT-4)
Additional Viewpoints
Categories: 2017 publication year | 2030 time horizon | 2030s time horizon | China geographic scope | English publication language | Germany geographic scope | Global geographic scope | India geographic scope | Japan geographic scope | Mexico geographic scope | United States geographic scope | automation | economic growth | employment impact | job creation | jobs | occupational shifts | policy support | retraining | technological adoption | wage trends | work | workforce transitions