ABSTRACT. Despite the relevance of the automatability of male and female jobs, only limited research has been conducted on this topic. Using and replicating data from Brookings Institution, CNBC, IWPR, McKinsey, PIAAC, and PwC, we performed analyses and made estimates regarding share of jobs with potential high rates of automation by worker characteristics (%, across countries), the number of women and men in occupations with low and high risk of automation, and in the total workforce (2014–2018, in millions), and share of tasks that could be automated with current technologies (%). The results of a study based on collected data and estimates provide support for our research model.
Keywords: job automation; technological unemployment; skill shift; precarious work
How to cite: Kral, Pavol, Katarina Janoskova, Ivana Podhorska, Aurel Pera, and Octav Neguriță (2019). “The Automatability of Male and Female Jobs: Technological Unemployment, Skill Shift, and Precarious Work,” Journal of Research in Gender Studies 9(1): 146–152. doi:10.22381/JRGS9120197
Received 12 March 2019 • Received in revised form 5 July 2019
Accepted 7 July 2019 • Available online 10 July 2019