The geography of artificial intelligence in European regions: innovation, exposure and use

This paper maps the geography of artificial intelligence (AI) innovation, exposure and use across European Union (EU) NUTS-2 regions using six complementary indicators. Findings reveal a spatial paradox: while AI exposure and worker-level use are relatively widespread, innovation and firm-level adoption remain concentrated in high gross domestic product (GDP), human capital-intensive hubs. A persistent implementation gap separates structural exposure from productive use, driven by institutional, organisational and capability-related frictions. Income and human capital are strongly associated with AI activity, while trade openness shows a negative relationship. Results point to the need for place-sensitive policies combining support for leading regions with targeted capability-building in lagging ones.

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Publication Details

Journal
Regional Studies
Published
2026-06-25
DOI
https://doi.org/10.1080/00343404.2026.2681659
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
0.00
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article

The geography of artificial intelligence in European regions: innovation, exposure and use

Pablo Casas, Bernardo Buarque, Dieter F. Kogler, Ryan M. Hynes et al.
Regional Studies
Digital Economy and Work Transformation
article

The geography of artificial intelligence in European regions: innovation, exposure and use

Pablo Casas, Bernardo Buarque, Dieter F. Kogler, Ryan M. Hynes, Simone Salotti, Enrique Fernández‐Macías, Ignacio González-Vázquez
article en

Abstract

This paper maps the geography of artificial intelligence (AI) innovation, exposure and use across European Union (EU) NUTS-2 regions using six complementary indicators. Findings reveal a spatial paradox: while AI exposure and worker-level use are relatively widespread, innovation and firm-level adoption remain concentrated in high gross domestic product (GDP), human capital-intensive hubs. A persistent implementation gap separates structural exposure from productive use, driven by institutional, organisational and capability-related frictions. Income and human capital are strongly associated with AI activity, while trade openness shows a negative relationship. Results point to the need for place-sensitive policies combining support for leading regions with targeted capability-building in lagging ones.

Regional StudiesVol. 60(1)
University College Dublin (IE), University of Auckland (NZ)
Decent work and economic growth
Openalex Percentile: Top 4%
Digital Economy and Work Transformation
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