Buffer or bottleneck?: employment exposure to generative AI and the digital divide in Latin America
- Autores
- Gmyrek, Paweł; Winkler, Hernán Jorge; Garganta, Santiago
- Año de publicación
- 2024
- Idioma
- inglés
- Tipo de recurso
- documento de trabajo
- Estado
- versión enviada
- Descripción
- Empirical evidence on the potential impacts of generative artificial intelligence (GenAI) is mostly focused on high-income countries. In contrast, little is known about the role of this technology on the future economic pathways of developing economies. This paper contributes to fill this gap by estimating the exposure of the Latin American labor market to GenAI. It provides detailed statistics of GenAI exposure between and within countries by leveraging a rich set of harmonized household and labor force surveys. To account for the slower pace of technology adoption in developing economies, it adjusts the measures of exposure to GenAI by using the likelihood of accessing digital technologies at work. This is then used to assess the extent to which the digital divide across and within countries will be a barrier to maximize the productivity gains among occupations that could otherwise be augmented by GenAI tools. The findings show that certain characteristics are consistently correlated with higher exposure. Specifically, urban-based jobs that require higher education, are situated in the formal sector, and are held by individuals with higher incomes are more likely to come into interaction with this technology. Moreover, there is a pronounced tilt toward younger workers facing greater exposure, including the risk of job automation, particularly in the finance, insurance, and public administration sectors. When adjusting for access to digital technologies, the findings show that the digital divide is a major barrier to realizing the positive effects of GenAI on jobs in the region. In particular, nearly half of the positions that could potentially benefit from augmentation are hampered by lack of use of digital technologies. This negative effect of the digital divide is more pronounced in poorer countries.
Centro de Estudios Distributivos, Laborales y Sociales - Materia
-
Ciencias Económicas
generative artificial intelligence
developing economies - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/173709
Ver los metadatos del registro completo
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Buffer or bottleneck?: employment exposure to generative AI and the digital divide in Latin AmericaGmyrek, PawełWinkler, Hernán JorgeGarganta, SantiagoCiencias Económicasgenerative artificial intelligencedeveloping economiesEmpirical evidence on the potential impacts of generative artificial intelligence (GenAI) is mostly focused on high-income countries. In contrast, little is known about the role of this technology on the future economic pathways of developing economies. This paper contributes to fill this gap by estimating the exposure of the Latin American labor market to GenAI. It provides detailed statistics of GenAI exposure between and within countries by leveraging a rich set of harmonized household and labor force surveys. To account for the slower pace of technology adoption in developing economies, it adjusts the measures of exposure to GenAI by using the likelihood of accessing digital technologies at work. This is then used to assess the extent to which the digital divide across and within countries will be a barrier to maximize the productivity gains among occupations that could otherwise be augmented by GenAI tools. The findings show that certain characteristics are consistently correlated with higher exposure. Specifically, urban-based jobs that require higher education, are situated in the formal sector, and are held by individuals with higher incomes are more likely to come into interaction with this technology. Moreover, there is a pronounced tilt toward younger workers facing greater exposure, including the risk of job automation, particularly in the finance, insurance, and public administration sectors. When adjusting for access to digital technologies, the findings show that the digital divide is a major barrier to realizing the positive effects of GenAI on jobs in the region. In particular, nearly half of the positions that could potentially benefit from augmentation are hampered by lack of use of digital technologies. This negative effect of the digital divide is more pronounced in poorer countries.Centro de Estudios Distributivos, Laborales y Sociales2024-11info:eu-repo/semantics/workingPaperinfo:eu-repo/semantics/submittedVersionDocumento de trabajohttp://purl.org/coar/resource_type/c_8042info:ar-repo/semantics/documentoDeTrabajoapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/173709enginfo:eu-repo/semantics/altIdentifier/issn/1853-0168info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T11:18:30Zoai:sedici.unlp.edu.ar:10915/173709Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 11:18:30.689SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Buffer or bottleneck?: employment exposure to generative AI and the digital divide in Latin America |
title |
Buffer or bottleneck?: employment exposure to generative AI and the digital divide in Latin America |
spellingShingle |
Buffer or bottleneck?: employment exposure to generative AI and the digital divide in Latin America Gmyrek, Paweł Ciencias Económicas generative artificial intelligence developing economies |
title_short |
Buffer or bottleneck?: employment exposure to generative AI and the digital divide in Latin America |
title_full |
Buffer or bottleneck?: employment exposure to generative AI and the digital divide in Latin America |
title_fullStr |
Buffer or bottleneck?: employment exposure to generative AI and the digital divide in Latin America |
title_full_unstemmed |
Buffer or bottleneck?: employment exposure to generative AI and the digital divide in Latin America |
title_sort |
Buffer or bottleneck?: employment exposure to generative AI and the digital divide in Latin America |
dc.creator.none.fl_str_mv |
Gmyrek, Paweł Winkler, Hernán Jorge Garganta, Santiago |
author |
Gmyrek, Paweł |
author_facet |
Gmyrek, Paweł Winkler, Hernán Jorge Garganta, Santiago |
author_role |
author |
author2 |
Winkler, Hernán Jorge Garganta, Santiago |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Ciencias Económicas generative artificial intelligence developing economies |
topic |
Ciencias Económicas generative artificial intelligence developing economies |
dc.description.none.fl_txt_mv |
Empirical evidence on the potential impacts of generative artificial intelligence (GenAI) is mostly focused on high-income countries. In contrast, little is known about the role of this technology on the future economic pathways of developing economies. This paper contributes to fill this gap by estimating the exposure of the Latin American labor market to GenAI. It provides detailed statistics of GenAI exposure between and within countries by leveraging a rich set of harmonized household and labor force surveys. To account for the slower pace of technology adoption in developing economies, it adjusts the measures of exposure to GenAI by using the likelihood of accessing digital technologies at work. This is then used to assess the extent to which the digital divide across and within countries will be a barrier to maximize the productivity gains among occupations that could otherwise be augmented by GenAI tools. The findings show that certain characteristics are consistently correlated with higher exposure. Specifically, urban-based jobs that require higher education, are situated in the formal sector, and are held by individuals with higher incomes are more likely to come into interaction with this technology. Moreover, there is a pronounced tilt toward younger workers facing greater exposure, including the risk of job automation, particularly in the finance, insurance, and public administration sectors. When adjusting for access to digital technologies, the findings show that the digital divide is a major barrier to realizing the positive effects of GenAI on jobs in the region. In particular, nearly half of the positions that could potentially benefit from augmentation are hampered by lack of use of digital technologies. This negative effect of the digital divide is more pronounced in poorer countries. Centro de Estudios Distributivos, Laborales y Sociales |
description |
Empirical evidence on the potential impacts of generative artificial intelligence (GenAI) is mostly focused on high-income countries. In contrast, little is known about the role of this technology on the future economic pathways of developing economies. This paper contributes to fill this gap by estimating the exposure of the Latin American labor market to GenAI. It provides detailed statistics of GenAI exposure between and within countries by leveraging a rich set of harmonized household and labor force surveys. To account for the slower pace of technology adoption in developing economies, it adjusts the measures of exposure to GenAI by using the likelihood of accessing digital technologies at work. This is then used to assess the extent to which the digital divide across and within countries will be a barrier to maximize the productivity gains among occupations that could otherwise be augmented by GenAI tools. The findings show that certain characteristics are consistently correlated with higher exposure. Specifically, urban-based jobs that require higher education, are situated in the formal sector, and are held by individuals with higher incomes are more likely to come into interaction with this technology. Moreover, there is a pronounced tilt toward younger workers facing greater exposure, including the risk of job automation, particularly in the finance, insurance, and public administration sectors. When adjusting for access to digital technologies, the findings show that the digital divide is a major barrier to realizing the positive effects of GenAI on jobs in the region. In particular, nearly half of the positions that could potentially benefit from augmentation are hampered by lack of use of digital technologies. This negative effect of the digital divide is more pronounced in poorer countries. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-11 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/workingPaper info:eu-repo/semantics/submittedVersion Documento de trabajo http://purl.org/coar/resource_type/c_8042 info:ar-repo/semantics/documentoDeTrabajo |
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eng |
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openAccess |
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http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International (CC BY 4.0) |
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