AI/ICT-Related talent alignment and regional high-tech employment growth: evidence from European regions

Digital recruiting demand can expand faster than a region’s science-and-technology talent base, but the relationship between this relative pressure and high-tech employment remains unclear. Using the reported balanced panel of European NUTS-2 regions for 2020–2024, we construct a signed index from standardized ICT-specialist advertisement demand and human resources in science and technology (HRST). The outcome is the percentage-point change in the regional high-tech employment share. Lagged mismatch is positively associated with subsequent share growth, with a negative squared term indicating a concave fitted association. A separate interaction specification shows positive associations for ICT demand and HRST and a positive interaction. These results describe conditional regional associations; the ICT indicator is not an AI-specific vacancy measure, and the employment-share outcome does not establish absolute job creation.

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Publication Details

Journal
Applied Economics Letters
Published
2026-10-16
DOI
https://doi.org/10.1080/13504851.2026.2749680
Primary Topic
Labor Market and Education
Type
article
Field-Weighted Citation Impact
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article

AI/ICT-Related talent alignment and regional high-tech employment growth: evidence from European regions

Zhong-Wei Liao, Yanting Ji, Xiaofei Qiu
Applied Economics Letters
Labor Market and Education
article

AI/ICT-Related talent alignment and regional high-tech employment growth: evidence from European regions

Zhong-Wei Liao, Yanting Ji, Xiaofei Qiu
article en

Abstract

Digital recruiting demand can expand faster than a region’s science-and-technology talent base, but the relationship between this relative pressure and high-tech employment remains unclear. Using the reported balanced panel of European NUTS-2 regions for 2020–2024, we construct a signed index from standardized ICT-specialist advertisement demand and human resources in science and technology (HRST). The outcome is the percentage-point change in the regional high-tech employment share. Lagged mismatch is positively associated with subsequent share growth, with a negative squared term indicating a concave fitted association. A separate interaction specification shows positive associations for ICT demand and HRST and a positive interaction. These results describe conditional regional associations; the ICT indicator is not an AI-specific vacancy measure, and the employment-share outcome does not establish absolute job creation.

Applied Economics Letters
Zhejiang University of Science and Technology (CN), Beijing Normal University (CN), Zhejiang Financial College (CN)
Decent work and economic growth, Industry, innovation and infrastructure, Reduced inequalities
Openalex Percentile: Top 8%
Labor Market and Education
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