Quantitative analysis examines AI adoption trends in Dutch municipalities, highlighting urban concentration and regional inequalities.
Artificial intelligence is used in many workplaces today, yet the initial adoption process of this new general-purpose technology remains underexplored. This paper examines whether a head start in AI adoption determines the regional variation in adoption rates over time. Using AI-related job vacancies as a proxy for firm-level adoption, we study AI adoption across Dutch municipalities between 2012–2020. This period is marked by the introduction of several AI techniques and offers a quasi-experimental setting to study adoption of a new technology in firms across regional labour markets. Findings indicate that AI adoption is concentrated in urban areas and is positively associated with early regional AI adoption, with no evidence of spatial convergence over time, suggesting that path dependency in AI diffusion produces structural regional inequalities.
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Rouwendal et al. (2026) studied this question.
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