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Main Authors: Cremaschi, Andrea, Lee, Dae-Jin, Leonelli, Manuele
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2505.08841
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author Cremaschi, Andrea
Lee, Dae-Jin
Leonelli, Manuele
author_facet Cremaschi, Andrea
Lee, Dae-Jin
Leonelli, Manuele
contents As artificial intelligence and robotics increasingly reshape the global labor market, understanding public perceptions of these technologies becomes critical. We examine how these perceptions have evolved across Latin America, using survey data from the 2017, 2018, 2020, and 2023 waves of the Latinobarómetro. Drawing on responses from over 48,000 individuals across 16 countries, we analyze fear of job loss due to artificial intelligence and robotics. Using statistical modeling and latent class analysis, we identify key structural and ideological predictors of concern, with education level and political orientation emerging as the most consistent drivers. Our findings reveal substantial temporal and cross-country variation, with a notable peak in fear during 2018 and distinct attitudinal profiles emerging from latent segmentation. These results offer new insights into the social and structural dimensions of AI anxiety in emerging economies and contribute to a broader understanding of public attitudes toward automation beyond the Global North.
format Preprint
id arxiv_https___arxiv_org_abs_2505_08841
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Will AI Take My Job? Evolving Perceptions of Automation and Labor Risk in Latin America
Cremaschi, Andrea
Lee, Dae-Jin
Leonelli, Manuele
Computers and Society
Artificial Intelligence
As artificial intelligence and robotics increasingly reshape the global labor market, understanding public perceptions of these technologies becomes critical. We examine how these perceptions have evolved across Latin America, using survey data from the 2017, 2018, 2020, and 2023 waves of the Latinobarómetro. Drawing on responses from over 48,000 individuals across 16 countries, we analyze fear of job loss due to artificial intelligence and robotics. Using statistical modeling and latent class analysis, we identify key structural and ideological predictors of concern, with education level and political orientation emerging as the most consistent drivers. Our findings reveal substantial temporal and cross-country variation, with a notable peak in fear during 2018 and distinct attitudinal profiles emerging from latent segmentation. These results offer new insights into the social and structural dimensions of AI anxiety in emerging economies and contribute to a broader understanding of public attitudes toward automation beyond the Global North.
title Will AI Take My Job? Evolving Perceptions of Automation and Labor Risk in Latin America
topic Computers and Society
Artificial Intelligence
url https://arxiv.org/abs/2505.08841