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.

(Generated with the help of GPT-4)

Quick Facts
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.

(Generated with the help of GPT-4)

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)

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Last modified: 2024/03/18 16:29 by elizabethherfel