The wrong kind of AI? Artificial intelligence and the future of labour demand
<jats:title>Abstract</jats:title> <jats:p>Artificial intelligence (AI) is set to influence every aspect of our lives, not least the way production is organised. AI, as a technology platform, can automate tasks previously performed by labour or create new tasks and ac...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Oxford University Press (OUP)
2021
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Online Access: | https://hdl.handle.net/1721.1/135974 |
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author | Acemoglu, Daron Restrepo, Pascual |
author_facet | Acemoglu, Daron Restrepo, Pascual |
author_sort | Acemoglu, Daron |
collection | MIT |
description | <jats:title>Abstract</jats:title>
<jats:p>Artificial intelligence (AI) is set to influence every aspect of our lives, not least the way production is organised. AI, as a technology platform, can automate tasks previously performed by labour or create new tasks and activities in which humans can be productively employed. Recent technological change has been biased towards automation, with insufficient focus on creating new tasks where labour can be productively employed. The consequences of this choice have been stagnating labour demand, declining labour share in national income, rising inequality and lowering productivity growth. The current tendency is to develop AI in the direction of further automation, but this might mean missing out on the promise of the ‘right’ kind of AI, with better economic and social outcomes.</jats:p> |
first_indexed | 2024-09-23T16:51:59Z |
format | Article |
id | mit-1721.1/135974 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T16:51:59Z |
publishDate | 2021 |
publisher | Oxford University Press (OUP) |
record_format | dspace |
spelling | mit-1721.1/1359742021-10-27T20:30:11Z The wrong kind of AI? Artificial intelligence and the future of labour demand Acemoglu, Daron Restrepo, Pascual <jats:title>Abstract</jats:title> <jats:p>Artificial intelligence (AI) is set to influence every aspect of our lives, not least the way production is organised. AI, as a technology platform, can automate tasks previously performed by labour or create new tasks and activities in which humans can be productively employed. Recent technological change has been biased towards automation, with insufficient focus on creating new tasks where labour can be productively employed. The consequences of this choice have been stagnating labour demand, declining labour share in national income, rising inequality and lowering productivity growth. The current tendency is to develop AI in the direction of further automation, but this might mean missing out on the promise of the ‘right’ kind of AI, with better economic and social outcomes.</jats:p> 2021-10-27T20:30:11Z 2021-10-27T20:30:11Z 2020 2021-03-29T15:16:47Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/135974 en 10.1093/CJRES/RSZ022 Cambridge Journal of Regions, Economy and Society Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/octet-stream Oxford University Press (OUP) MIT web domain |
spellingShingle | Acemoglu, Daron Restrepo, Pascual The wrong kind of AI? Artificial intelligence and the future of labour demand |
title | The wrong kind of AI? Artificial intelligence and the future of labour demand |
title_full | The wrong kind of AI? Artificial intelligence and the future of labour demand |
title_fullStr | The wrong kind of AI? Artificial intelligence and the future of labour demand |
title_full_unstemmed | The wrong kind of AI? Artificial intelligence and the future of labour demand |
title_short | The wrong kind of AI? Artificial intelligence and the future of labour demand |
title_sort | wrong kind of ai artificial intelligence and the future of labour demand |
url | https://hdl.handle.net/1721.1/135974 |
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