Generative AI and Jobs: An Analysis of Potential Effects on Global Employment

Fuente: Organización Internacional del Trabajo (OIT)
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Autores principales: Pawel Gmyrek, Janine Berg, David Bescond
Formato: Artículo científico
Publicado: International Labour Organization 2025
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author Pawel Gmyrek
Janine Berg
David Bescond
author_facet Pawel Gmyrek
Janine Berg
David Bescond
Pawel Gmyrek
Janine Berg
David Bescond
contents Generative AI and Jobs: An Analysis of Potential Effects on Global Employment Pawel Gmyrek Janine Berg David Bescond This study presents a global analysis of the potential effects of generative AI on employment. Using the GPT-4 model, we estimate task-level exposure scores and assess their potential employment impacts globally and across country income groups. We find that clerical work is the only broad... 10.33119/GN/203716 DOI https://doi.org/10.33119/GN/203716 publication.journalArticle
format Artículo científico
id ilo_995673156902676
institution Organización Internacional del Trabajo (OIT)
publishDate 2025
publisher International Labour Organization
spellingShingle Generative AI and Jobs: An Analysis of Potential Effects on Global Employment
Pawel Gmyrek
Janine Berg
David Bescond
Generative AI and Jobs: An Analysis of Potential Effects on Global Employment Pawel Gmyrek Janine Berg David Bescond This study presents a global analysis of the potential effects of generative AI on employment. Using the GPT-4 model, we estimate task-level exposure scores and assess their potential employment impacts globally and across country income groups. We find that clerical work is the only broad... 10.33119/GN/203716 DOI https://doi.org/10.33119/GN/203716 publication.journalArticle
title Generative AI and Jobs: An Analysis of Potential Effects on Global Employment
url https://researchrepository.ilo.org/esploro/outputs/journalArticle/Generative-AI-and-Jobs-An-Analysis/995673156902676