The Diffusion of Artificial Intelligence Across Firms: Evidence from Europe

Julio Garbers () and Terry Gregory ()
Additional contact information
Julio Garbers: LISER
Terry Gregory: LISER

No 18434, IZA Discussion Papers from IZA Network @ LISER

Abstract: We develop a novel firm-level indicator of Artificial Intelligence adoption in Europe (MAP-AI) by extracting information from more than three million firm websites in Belgium, France, Germany, and Luxembourg between 2016 and 2024 using a Large Language Model. The indicator captures realized AI use as publicly signaled by firms, rather than potential exposure, and distinguishes firms by their role in the AI ecosystem and the type of AI technologies employed. Validation against human-coded benchmarks and external data confirms high accuracy. We show that the share of AI-active firms increased from 1% in 2016 to 12% in 2024, with a marked acceleration after 2022. This growth reflects a structural shift toward widespread adoption and more integrated AI use, including generative AI. AI adoption is concentrated among larger, younger, knowledge-intensive firms in urban regions, with workforce skills emerging as a key driver. Foundational data skills are necessary for adoption, while specialized AI skills—such as machine learning and natural language processing—act as strong complements, highlighting the central role of human capital in AI diffusion.

Keywords: Artificial Intelligence; firm-level data; Large Language Models; AI diffusion; human capital; skills (search for similar items in EconPapers)
JEL-codes: C81 L25 O33 (search for similar items in EconPapers)
Date: 2026-03
References: Add references at CitEc
Citations:

Downloads: (external link)
https://docs.iza.org/dp18434.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:iza:izadps:dp18434

Access Statistics for this paper

More papers in IZA Discussion Papers from IZA Network @ LISER Contact information at EDIRC.
Bibliographic data for series maintained by Mark Fallak ().