Advancing the measurement of investments in artificial intelligence

François Fonteneau, Jeff Mollins, Sara Marchi, Lucia Russo, Angélina Gentaz, Melhem Daoud and Antoine-Alexandre André

No 47, OECD Artificial Intelligence Papers from OECD Publishing

Abstract: This working paper presents a methodology for estimating public and private artificial intelligence (AI) investments in European Union (EU) Member States, focusing on assets and capabilities. It categorises investments into four groups: skills, research and development, data and equipment, and other intellectual property products. Using publicly available national accounts and sector-specific sources, AI investments are estimated by applying AI intensity coefficients derived from patent data, academic programmes, and workforce statistics. The estimates highlight how AI investments are distributed across EU countries. The methodology also disaggregates investments in areas such as information and communication technologies, specialist remuneration, corporate training, software and databases, and telecommunications equipment. This work supports efforts to measure the evolving AI investment landscape in the EU.

Keywords: AI; AI investments; artificial intelligence; European Union (search for similar items in EconPapers)
JEL-codes: O33 (search for similar items in EconPapers)
Date: 2025-09-26
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Persistent link: https://EconPapers.repec.org/RePEc:oec:comaaa:47-en

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