Generative AI and jobs: a global analysis of potential effects on job quantity and quality

Fuente: Organización Internacional del Trabajo (OIT)
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Bibliographic Details
Main Authors: Pawel Gmyrek (Author), Janine Berg (Author), David Bescond (Author)
Format: Entrada de enciclopedia
Published: International Labour Organization 2023
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author Pawel Gmyrek (Author)
Janine Berg (Author)
David Bescond (Author)
author_facet Pawel Gmyrek (Author)
Janine Berg (Author)
David Bescond (Author)
Pawel Gmyrek (Author)
Janine Berg (Author)
David Bescond (Author)
contents Generative AI and jobs: a global analysis of potential effects on job quantity and quality Pawel Gmyrek (Author) Janine Berg (Author) David Bescond (Author) This study assesses the potential global exposure of occupations to Generative AI, particularly GPT-4. It predicts that the overwhelming effect of the technology will be to augment occupations, rather than to automate them. The greatest impact is likely to be in high and upper-middle income countries due to a higher share of employment in clerical occupations. As clerical jobs are an important source of female employment, the effects are highly gendered. Insights from this study underline the need for proactive policies that focus on job quality, ensure fair transitions, and that are based on dialogue and adequate regulation. ILO working paper, 96, ILO 10.54394/FHEM8239 DOI https://doi.org/10.54394/FHEM8239; ISBN 9789220395356 publication.encyclopediaEntry
format Entrada de enciclopedia
id ilo_995326516102676
institution Organización Internacional del Trabajo (OIT)
publishDate 2023
publisher International Labour Organization
spellingShingle Generative AI and jobs: a global analysis of potential effects on job quantity and quality
Pawel Gmyrek (Author)
Janine Berg (Author)
David Bescond (Author)
Generative AI and jobs: a global analysis of potential effects on job quantity and quality Pawel Gmyrek (Author) Janine Berg (Author) David Bescond (Author) This study assesses the potential global exposure of occupations to Generative AI, particularly GPT-4. It predicts that the overwhelming effect of the technology will be to augment occupations, rather than to automate them. The greatest impact is likely to be in high and upper-middle income countries due to a higher share of employment in clerical occupations. As clerical jobs are an important source of female employment, the effects are highly gendered. Insights from this study underline the need for proactive policies that focus on job quality, ensure fair transitions, and that are based on dialogue and adequate regulation. ILO working paper, 96, ILO 10.54394/FHEM8239 DOI https://doi.org/10.54394/FHEM8239; ISBN 9789220395356 publication.encyclopediaEntry
title Generative AI and jobs: a global analysis of potential effects on job quantity and quality
url https://researchrepository.ilo.org/esploro/outputs/encyclopediaEntry/Generative-AI-and-jobs-a-global/995326516102676