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A LABORLESS SOCIETY? HOW HIGHLY AUTOMATED ENVIRONMENTS AND BREAKTHROUGHS IN ARTIFICIAL INTELLIGENCE BRING ABOUT INNOVATIVE KINDS OF SKILLS AND EMPLOYM ...

A LABORLESS SOCIETY? HOW HIGHLY AUTOMATED ENVIRONMENTS AND BREAKTHROUGHS IN ARTIFICIAL... Following recent research on technology-driven economic growth, we have identified and provided empirical evidence on how highly automated environ- ments and breakthroughs in artificial intelligence (AI) bring about innovative kinds of skills and employment disruptions. Using and replicating data from Bureau of Labor Statistics, CEA calculations, Frey and Osborne (2013), Gartner, National Post, OECD, Pew Research Center, Statista, and YouGov, we performed analyses and made estimates regarding percentage of jobs with high potential for automation or significant change in task, probability of automation by an occupation’s median hourly wage, the impact of AI automation on jobs, and percentage of U.S. workers worried they might lose their job to advancing technology, and who say they would (strongly) oppose/(strongly) favor certain policies in the event that robots and com- puters are capable of doing many human jobs. JEL codes: E24; J21; J54; J64 Keywords: automated environment; artificial intelligence; employment disruption http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Self-Governance and Management Economics Addleton Academic Publishers

A LABORLESS SOCIETY? HOW HIGHLY AUTOMATED ENVIRONMENTS AND BREAKTHROUGHS IN ARTIFICIAL INTELLIGENCE BRING ABOUT INNOVATIVE KINDS OF SKILLS AND EMPLOYM ...

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Publisher
Addleton Academic Publishers
Copyright
© 2009 Addleton Academic Publishers
ISSN
2329-4175
eISSN
2377-0996
Publisher site
See Article on Publisher Site

Abstract

Following recent research on technology-driven economic growth, we have identified and provided empirical evidence on how highly automated environ- ments and breakthroughs in artificial intelligence (AI) bring about innovative kinds of skills and employment disruptions. Using and replicating data from Bureau of Labor Statistics, CEA calculations, Frey and Osborne (2013), Gartner, National Post, OECD, Pew Research Center, Statista, and YouGov, we performed analyses and made estimates regarding percentage of jobs with high potential for automation or significant change in task, probability of automation by an occupation’s median hourly wage, the impact of AI automation on jobs, and percentage of U.S. workers worried they might lose their job to advancing technology, and who say they would (strongly) oppose/(strongly) favor certain policies in the event that robots and com- puters are capable of doing many human jobs. JEL codes: E24; J21; J54; J64 Keywords: automated environment; artificial intelligence; employment disruption

Journal

Journal of Self-Governance and Management EconomicsAddleton Academic Publishers

Published: Jan 1, 2017

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