An aggregated model assessing the risk of job automation – Application to Belgian employment data
(2021) , 12 pages
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- Authors
- Abstract
- The impact of technologies on employment is a much-debated subject. Several studies have calculated an automation risk for various job categories based on theoretical descriptions of jobs. In this paper, we develop a model assessing the automation risk of job categories based on the characteristics of jobs as perceived by the workers themselves. More specifically, we identify four bottlenecks of automation (rational, emotional, creative intelligence and flexibility), and conduct a survey on 346 Belgian workers, to define to what extent those dimensions are present in their work. In line with existing studies based on theoretical postulates, the results on real data indicate that mainly low-skilled jobs composed of repetitive tasks are at “high-risk” of automation. This study further questions some existing results; thus, the agricultural sector obtained a lower automation risk than expected. This suggests that the real working conditions should also be considered when estimating the automation risk of jobs.
- Affiliations
Citations
Satinet, C., & Fouss, F. (2021). An aggregated model assessing the risk of job automation – Application to Belgian employment data (Louvain Research Institute in Management and Organizations Working Paper Series 2021/03). https://hdl.handle.net/2078.5/113480