Automating Gender Roles at Work: How Digital Disruption and Artificial Intelligence Alter Industry Structures and Sex-based Divisions of Labor

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 Econ...

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Bibliographic Details
Published in:Journal of research in gender studies 2019, Vol.9 (1), p.153-159
Main Authors: Klieštiková, Jana, Grupač, Marián, Grecu, Iulia, Grecu, Gheorghe
Format: Article
Language:English
Subjects:
Age differences
Age groups
Artificial intelligence
Automation
Conceptual models
Disruption
Employment
Gender
Gender roles
Gender Studies
Labor
Labor market
Occupational roles
Prostitution
Sex roles
Structural equation modeling
Technology application
Work environment
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Summary: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.
ISSN:2164-0262
2378-3524
DOI:10.22381/JRGS9120198