Economics of Artificial Intelligence: Implications for the Future of Work

The current wave of technological change based on advancements in artificial intelligence (AI) has created widespread fear of job loss and further rises in inequality. This paper discusses the rationale for these fears, highlighting the specific nature of AI and comparing previous waves of automatio...

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Main Authors: Ernst Ekkehardt, Merola Rossana, Samaan Daniel
Format: Article
Language:English
Published: Sciendo 2019-08-01
Series:IZA Journal of Labor Policy
Subjects:
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Online Access:https://doi.org/10.2478/izajolp-2019-0004
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spelling doaj-c7b8fbc9defa4c4299a415e1754566ef2021-09-05T21:02:07ZengSciendoIZA Journal of Labor Policy2193-90042019-08-019177210.2478/izajolp-2019-0004izajolp-2019-0004Economics of Artificial Intelligence: Implications for the Future of WorkErnst Ekkehardt0Merola Rossana1Samaan Daniel2Research Department, International Labour Organisation, Route des Morillons 4, 1211Geneva, SwitzerlandResearch Department, International Labour Organisation, Route des Morillons 4, 1211Geneva, SwitzerlandResearch Department, International Labour Organisation, Route des Morillons 4, 1211Geneva, SwitzerlandThe current wave of technological change based on advancements in artificial intelligence (AI) has created widespread fear of job loss and further rises in inequality. This paper discusses the rationale for these fears, highlighting the specific nature of AI and comparing previous waves of automation and robotization with the current advancements made possible by a widespread adoption of AI. It argues that large opportunities in terms of increases in productivity can ensue, including for developing countries, given the vastly reduced costs of capital that some applications have demonstrated and the potential for productivity increases, especially among the low skilled. At the same time, risks in the form of further increases in inequality need to be addressed if the benefits from AI-based technological progress are to be broadly shared. For this, skills policies are necessary but not sufficient. In addition, new forms of regulating the digital economy are called for that prevent further rises in market concentration, ensure proper data protection and privacy, and help share the benefits of productivity growth through the combination of profit sharing, (digital) capital taxation, and a reduction in working time. The paper calls for a moderately optimistic outlook on the opportunities and risks from AI, provided that policymakers and social partners take the particular characteristics of these new technologies into account.https://doi.org/10.2478/izajolp-2019-0004artificial intelligencetechnological unemploymentinequalityproductivity growthj23j24o00e24
collection DOAJ
language English
format Article
sources DOAJ
author Ernst Ekkehardt
Merola Rossana
Samaan Daniel
spellingShingle Ernst Ekkehardt
Merola Rossana
Samaan Daniel
Economics of Artificial Intelligence: Implications for the Future of Work
IZA Journal of Labor Policy
artificial intelligence
technological unemployment
inequality
productivity growth
j23
j24
o00
e24
author_facet Ernst Ekkehardt
Merola Rossana
Samaan Daniel
author_sort Ernst Ekkehardt
title Economics of Artificial Intelligence: Implications for the Future of Work
title_short Economics of Artificial Intelligence: Implications for the Future of Work
title_full Economics of Artificial Intelligence: Implications for the Future of Work
title_fullStr Economics of Artificial Intelligence: Implications for the Future of Work
title_full_unstemmed Economics of Artificial Intelligence: Implications for the Future of Work
title_sort economics of artificial intelligence: implications for the future of work
publisher Sciendo
series IZA Journal of Labor Policy
issn 2193-9004
publishDate 2019-08-01
description The current wave of technological change based on advancements in artificial intelligence (AI) has created widespread fear of job loss and further rises in inequality. This paper discusses the rationale for these fears, highlighting the specific nature of AI and comparing previous waves of automation and robotization with the current advancements made possible by a widespread adoption of AI. It argues that large opportunities in terms of increases in productivity can ensue, including for developing countries, given the vastly reduced costs of capital that some applications have demonstrated and the potential for productivity increases, especially among the low skilled. At the same time, risks in the form of further increases in inequality need to be addressed if the benefits from AI-based technological progress are to be broadly shared. For this, skills policies are necessary but not sufficient. In addition, new forms of regulating the digital economy are called for that prevent further rises in market concentration, ensure proper data protection and privacy, and help share the benefits of productivity growth through the combination of profit sharing, (digital) capital taxation, and a reduction in working time. The paper calls for a moderately optimistic outlook on the opportunities and risks from AI, provided that policymakers and social partners take the particular characteristics of these new technologies into account.
topic artificial intelligence
technological unemployment
inequality
productivity growth
j23
j24
o00
e24
url https://doi.org/10.2478/izajolp-2019-0004
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