RT Journal Article
T1 The impact of artificial intelligence in the early retirement decision
A1 Casas Aljama, Pablo
A1 Román Díaz, María Concepción
AB This paper examines the impact of Artificial Intelligence (AI) on early retirement (ER) decisions in Europe. For the analysis, we utilize microdata from the Survey of Health, Ageing and Retirement in Europe, along with occupation-level data on AI advances and AI exposure. Initially, we investigate the influence of AI advances and AI exposure separately, finding in both instances a significant reduction in ER likelihood, though this only applies to workers with higher education. Subsequently, we explore the interaction between AI advances and AI exposure concerning ER probability. This interaction proves critical in determining AI’s impact on ER transitions. Specifically, we observe a significant reduction in ER probabilities for workers whose occupations exhibit high levels of AI advances and high expectations for further implementation of this technology in the future. Finally, we jointly analyse the interaction between AI advances, AI exposure, and education level. This analysis highlights that workers’ ER probabilities may either increase or decrease in response to the AI revolution, depending on their education level and the characteristics of their occupations in terms of AI advances and AI exposure. 
PB Springer
SN 0340-8744
SN 1573-6911 (electronico)
YR 2024
FD 2024-05
LK https://hdl.handle.net/10272/24007
UL https://hdl.handle.net/10272/24007
LA eng
NO Casas, P., & Román, C. (2024). The impact of artificial intelligence in the early retirement decision. In Empirica. Springer Science and Business Media LLC. https://doi.org/10.1007/s10663-024-09613-3
NO Funding for open access publishing: Universidad de Huelva/CBUA
DS Repositorio Institucional de la Universidad de Huelva
RD 29 may 2026