ABSTRACT. Following recent research on the jobless economy in a post-work society, I have identified and provided empirical evidence on how automation will transform the labor market. Building my argument by drawing on data collected from Citigroup, National Post, OECD, Pew Research Center, Statista, U.S. Bureau of Labor Statistics, and World Bank, I performed analyses and made estimates regarding share of people with high automatibility (by income), risk of being replaced by automation (percent of workforce possibly affected in various countries), probability of job automation by race, ethnicity and gender, and estimated share of jobs at potential high risk of automation in European countries by 2030 (by gender).
JEL codes: E24; J21; J54; J64

Keywords: jobless; economy; post-work; society; automation; labor market

How to cite: Chessell, Darren (2018). “The Jobless Economy in a Post-Work Society: How Automation Will Transform the Labor Market,” Psychosociological Issues in Human Resource Management 6(2): 74–79.

Received 8 June 2018 • Received in revised form 2 August 2018
Accepted 3 August 2018 • Available online 5 September 2018


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