 The Technological Impact on Employment in Spain between 2023 and 2035Oussama Chemlal () and
Wafaa Benomar
Forecasting, 2024, vol. 6, issue 2, 1-30 Abstract: The objective of this work is to predict the impact of technology on employment demand by profession in Spain between 2023 and 2035. The evaluation of this effect involved the comparison of two scenarios: a trend scenario obtained by predicting the evolution of occupations in demand and a technological scenario anticipated in the case of technological progress. To accomplish this goal, a new approach was developed in the present study based on previous research. Thus, we estimated the proportion of jobs likely to be automated using a task-based approach. Each occupation was examined based on its components to determine the degree to which these tasks could be automated. The results suggest that technology may influence job demand but with low percentages (between 3% and 5% for both low- and high-qualified workers) in the long term. However, job losses are greater in absolute difference in low-skilled professions, where a great share of the labor force is engaged. Keywords: technological impact; technology; artificial intelligence; prediction; employment; tasks; professions; Spain (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:gam:jforec:v:6:y:2024:i:2:p:17-325:d:1386527 Access Statistics for this article Forecasting is currently edited by Ms. Joss Chen More articles in Forecasting from MDPI |
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