Artificial Intelligence Adoption in Firms

Adoption de l’intelligence artificielle en entreprise

Sandrine Aboya
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Sandrine Aboya: Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres

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Abstract: This working paper examines recent trends in the adoption of artificial intelligence by firms and the main barriers to its integration. It draws on recent data and reports from the OECD, Eurostat, the International Labour Organization and the World Bank. The analysis distinguishes three stages in the adoption process: the decision to adopt, implementation, and scaling. It highlights several recurring barriers, including skills shortages, legal uncertainty, data quality and availability, integration with information systems, transformation costs, and difficulties in demonstrating return on investment. The paper also emphasizes an important distinction between AI adoption, operational use, and organizational integration. It ultimately interprets barriers to adoption as issues of organizational capability and governance, rather than merely problems of access to technology. The report aims to provide an actionable synthesis for academic research, business leaders, and public-sector stakeholders involved in digital transformation and artificial intelligence policies.

Keywords: Technology Adoption; AI Governance; Digital Transformation; Firms; AI Adoption; Artificial Intelligence; Organizational Transformation; return on investment; intelligence artificielle; adoption; entreprises; PME; transformation numérique; compétences; données; retour sur investissement artificial intelligence; firms; SMEs; digital transformation; skills; data; AI adoption (search for similar items in EconPapers)
Date: 2026-09-09
Note: View the original document on HAL open archive server: https://hal.science/hal-05744627v1
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Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-05744627

DOI: 10.5281/zenodo.22671342

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