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- Publisher
- Addleton Academic Publishers
- Copyright
- © 2009 Addleton Academic Publishers
- ISSN
- 2164-0262
- eISSN
- 2378-3524
- Publisher site
- See Article on Publisher Site
Abstract
We draw on a substantial body of theoretical and empirical research concerning how digital disruption and artificial intelligence alter industry structures and sex-based divisions of labor, and using and replicating data from Bloomberg, BLS, Eurostat, McKinsey, OECD, PIAAC, PISA, PwC, and World Economic Forum, we performed analyses and made estimates regarding patterns of jobs lost and gained (% of 2019 employment for each gender) and potential impact of job automation over time across workers (%, by gender, age group, and education level). Structural equation modeling was used to analyze the data and test the proposed conceptual model. 15 4 Keywords: automation; artificial intelligence; gender; digital disruption; labor
Journal
The Journal of Research in Gender Studies – Addleton Academic Publishers
Published: Jan 1, 2019