ABSTRACT. I inspect the relevant literature on the rise of an automated jobless society, providing both quantitative evidence on trends and numerous in-depth empirical examples. Building my argument by drawing on data collected from The Century Foundation, Frey and Osborne (2013), McKinsey Global Institute, Pew Research Center, U.S. Bureau of Labor Statistics, and The Washington Post, I performed analyses and made estimates regarding the best paid and least/most vulnerable occupations, automation potential based on demonstrated technology of occupation titles in the U.S. (cumulative), percentage who say that in the next 50 years robots and computers will “definitely” or “probably” do much of the work currently done by humans, technical automation capacity of U.S. jobs, and proportion of U.S. adults who think it is not at all/not very/somewhat/very likely that the following jobs will be replaced by robots or computers in their lifetimes.
JEL codes: E24; J21; J54; J64

Keywords: automated jobless society; cutting-edge technology; economy; worker

How to cite: Grossman, Timothy (2018). “The Rise of an Automated Jobless Society: Do Cutting-Edge Technologies Expel Workers Swifter than the Economy Can Identify New Jobs for Them?,” Psychosociological Issues in Human Resource Management 6(2): 62–67.

Received 18 June 2018 • Received in revised form 3 August 2018
Accepted 8 August 2018 • Available online 20 September 2018


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