Automation, Skills and the Future of Work: What do Workers Think?

By Carlos Mulas-Granados, Richard Varghese, Vizhdan Boranova, Alice deChalendar, Judith Wallenstein

December 20, 2019

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Format: Chicago

Carlos Mulas-Granados, Richard Varghese, Vizhdan Boranova, Alice deChalendar, and Judith Wallenstein. Automation, Skills and the Future of Work: What do Workers Think?, (USA: International Monetary Fund, 2019) accessed October 6, 2024

Disclaimer: IMF Working Papers describe research in progress by the author(s) and are published to elicit comments and to encourage debate. The views expressed in IMF Working Papers are those of the author(s) and do not necessarily represent the views of the IMF, its Executive Board, or IMF management.

Summary

We exploit a survey data set that contains information on how 11,000 workers across advanced and emerging market economies perceive the main forces shaping the future of work. In general, workers feel more positive than negative about automation, especially in emerging markets. We find that negative perceptions about automation are prevalent among workers who are older, poorer, more exposed to job volatility, and from countries with higher levels of robot penetration. Perceptions over automation are positively viewed by workers with higher levels of job satisfaction, higher educational attainment, and from countries with stronger labor protection. Workers with positive perceptions of automation also tend to respond that re-education and retraining will be needed to adapt to rapidly evolving skill demands. These workers expect governments to have a role in shaping the future of work through protection of labor and new forms of social benefits. The demand for protection and benefits is more significant among women and workers that have suffered job volatility.

Subject: Automation, Education, Emerging technologies, Labor, Labor markets, Technology

Keywords: Africa, Automation, Education, Emerging technologies, Employment characteristic, Europe, Future of Work, Global, Job happiness, Labor markets, Middle-age worker, More-on-the job training, Reskilling, Retraining, Robotization, Worker, WP

Publication Details

Pages:

32
Volume:

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DOI:

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Issue:

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Series:

Working Paper No. 2019/288
Stock No:

WPIEA2019288
ISBN:

9781513519906
ISSN:

1018-5941

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