ABSTRACT. This article reviews and advances existing literature concerning disruptive technologies that may bring about jobless growth and enduring mass unemployment. Using and replicating data from Bureau of Labor Statistics, Dell/Intel, Haver Analytics, The Heritage Foundation, McKinsey Global Institute, Statista, U.S. Department of Labor, and World Economic Forum, I performed analyses and made estimates regarding the potential for task automation in various occupations, forecast ratio of human/machine working hours in 2019 and 2022 (by task type), and labor productivity aided by technological advances.
JEL codes: E24; J21; J54; J64

Keywords: robot; disruptive technology; jobless growth; enduring mass unemployment

How to cite: Nica, Elvira (2018). “Will Robots Take the Jobs of Human Workers? Disruptive Technologies that May Bring About Jobless Growth and Enduring Mass Unemployment,” Psychosociological Issues in Human Resource Management 6(2): 56–61.

Received 17 June 2018 • Received in revised form 14 August 2018
Accepted 16 August 2018 • Available online 26 September 2018

doi:10.22381/PIHRM6220184