New technologies and jobs in Europe
Stefania Albanesi Y, António Dias da Silva, Juan F. Jimeno, Ana Lamo, Alena Wabitsch · Economic Policy · 1 Dec 2024
Where this sits in the debate
- Will AI destroy more jobs than it creates? · its finding goes against the claim (why studies differ)
Direction of the finding as read from the abstract by an AI model (AI-written).
Abstract
Summary We examine the link between labour market developments and new technologies such as artificial intelligence (AI) and software in 16 European countries over the period 2011–9. Using data for occupations at the three-digit level, we find that on average employment shares have increased in occupations more exposed to AI. This is particularly the case for occupations with a relatively higher proportion of younger and skilled workers. While there exists heterogeneity across countries, only very few countries show a decline in employment shares of occupations more exposed to AI-enabled automation. Country heterogeneity for this result seems to be linked to the pace of technology diffusion and education, but also to the level of product market regulation (competition) and employment protection laws. In contrast to the findings for employment, we find little evidence for a relationship between relative wages across occupations and potential exposures to new technologies.
About this publication
Leading field journal. A leading journal in economics or a neighbouring field (on the Tinbergen Institute’s A list or near the top of the RePEc ranking), or a top-rated computer-science venue.
Placed by: Leading field journal. How sources are ranked.
- Published
- 2024 (23 months ago)
- Citations
- 48 (OpenAlex)
Citations in context
48 citations — 57th percentile among the 23 indexed papers from 2024 in this collection. Citation counts favor older papers; this compares only same-year papers here, not the whole literature.
□ added to this collection in 2026.
author affiliation matches seed institution university of oxford — part of why this paper is in the collection.
Related by theme, not necessarily by method or conclusion.
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SSRN · 2024 - GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models
arXiv · 2023 - Extending “GPTs Are GPTs” to Firms
AEA Papers and Proceedings · 2025 - New Frontiers: The Origins and Content of New Work, 1940–2018
The Quarterly Journal of Economics · 2024
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