Public Opinion on Automation
IMF Blog, February 10, 2020
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Bibliographic details
- Authors: Carlos Mulas-Granados, Richard Varghese, Vizhdan Boranova
- Published: February 10, 2020
Overview
- Authors: Carlos Mulas-Granados, Richard Varghese, Vizhdan Boranova
- Date: February 10, 2020
- Sample described: 11,000 workers across 11 advanced and emerging market economies
- Focus: Workers’ perceptions of the main forces shaping the future of work, with emphasis on attitudes toward automation
Aggregate perceptions
- Most workers feel more positive than negative about automation.
- Positive perceptions are especially pronounced in emerging markets.
Personal characteristics associated with perceptions
- Education:
- Someone with a college degree is more likely than a person with only a high school diploma to feel positive about the impact of automation on their job.
- Income:
- High earners are more likely to feel positive about automation.
- Job satisfaction:
- A person who is satisfied with their job is more likely to have a favorable perception of automation.
- Age and work history:
- Older age is strongly associated with more negative views about automation.
- Having experienced job volatility in the past is strongly associated with more negative views.
Country-level factors associated with perceptions
- Historical adoption of robotics:
- Respondents from countries that witnessed an uptick in the use of robot technology between 2000 and 2016 tend to have more negative views about automation’s impact on the workplace.
- Emerging markets and labor protection:
- Respondents from emerging markets tend to be more positive about automation.
- Respondents from countries with a high degree of labor protection tend to be more positive about automation.
Worker readiness and policy expectations
- Retraining and reeducation:
- Workers who perceive automation positively are ready to reeducate and retrain at their own cost to face the challenges of growing automation.
- Expectations of government:
- These workers expect governments to facilitate the transition through greater protection and new forms of social benefits.
Public Opinion on Automation — IMF blog page (February 10, 2020)