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.
Keywords: automation; artificial intelligence; gender; digital disruption; labor
How to cite: Kovacova, Maria, Jana Kliestikova, Marian Grupac, Iulia Grecu, and Gheorghe Grecu (2019). “Automating Gender Roles at Work: How Digital Disruption and Artificial Intelligence Alter Industry Structures and Sex-based Divisions of Labor,” Journal of Research in Gender Studies 9(1): 153–159. doi:10.22381/JRGS9120198
Received 2 March 2019 • Received in revised form 4 July 2019
Accepted 6 July 2019 • Available online 10 July 2019