The impact of artificial intelligence in the early retirement decision

Pablo Casas () and Concepción Román ()
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Concepción Román: Universidad de Huelva

Empirica, 2024, vol. 51, issue 3, No 1, 583-618

Abstract: Abstract 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.

Keywords: Older workers; Ageing; Digitalization; Technological change (search for similar items in EconPapers)
JEL-codes: H55 J24 J26 M51 O33 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10663-024-09613-3

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