Journal of Aging & Social Policy· 2026Q1
Untangling Employment, Automation Exposure and Aging: Evidence from a State and Industry Level Data
- 0citations
- Q1SCImago
- 2026year
Short summary
Automation exposure and an aging workforce significantly reduce employment growth in the US, with wage impacts varying over time.
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Key points
- Automation exposure and an aging workforce are linked to reduced employment growth in the US.
- Wage impacts of automation and aging vary over time.
- Stronger cognitive skills can mitigate the negative effects of automation exposure on employment and boost wages.
- Age-related cognitive abilities play a differential role in employment and wage outcomes.
AI-generated from the title and abstract; the full text is not read.
Abstract
Technological advancements and demographic shifts are reshaping labor markets worldwide, raising questions about their combined effects on employment and wages. Using data from U.S. Census Bureau and Bureau of Labor Statistics, this study examines how automation exposure (proxied by the probability of computerization) and demographic aging impact employment and wage growth. Employing panel data analysis, the findings reveal that automation exposure and an aging workforce significantly reduce employment growth, while wage impacts vary over time. Age-related cognitive abilities, both improving and declining with age, play an important role in influencing employment and wages differently across periods. Interaction effects show that stronger cognitive skills can offset automation exposure’s impacts, boosting wages. These findings highlight the need for detailed analyses of age-related abilities to understand technology and aging’s effects on labor markets.
The authors' abstract, as published at the source. Journal of Aging & Social Policy, 2026 · DOI ↗
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Field: Demography
DemographySocial Sciences