Referenties

Berlingieri, G. et al. (2020), “Laggard firms, technology diffusion and its structural and policy determinants”, OECD Science, Technology and Industry Policy Papers, No. 86, OECD Publishing, Paris.

Brynjolfsson, E., D. Rock and C. Syverson (2021), “The Productivity J-Curve: How Intangibles Complement General Purpose Technologies”, American Economic Journal: Macroeconomics, Vol. 13/1, pp. 333-372.

Brynjolfsson, E., D. Rock and C. Syverson (2017), Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics, National Bureau of Economic Research, Cambridge, MA.

Calvino, F. and L. Fontanelli (2023), “A portrait of AI adopters across countries: Firm characteristics, assets’ complementarities and productivity”, OECD Science, Technology and Industry Working Papers, No. 2023/02, OECD Publishing, Paris.

CBS (2025) AI-monitor 2024, CBS.

OECD (2024¹) Assessing potential future artificial intelligence risks, benefits and policy imperatives, OECD Artificial Intelligence Papers, Nr. 27, OECD Publishing, Paris.

OECD (2024²) Recommendation of the Council on Artificial Intelligence, OECD/LEGAL/0449.

Polder, M., Limpens, D, Vancauteren, M & Visser C. (2023). Digitalisering bij bedrijven en de relatie met export, productiviteit en werkgelegenheid. In Internationaliseringsmonitor: Digitalisering. Centraal Bureau voor de Statistiek.

WRR (2021) Opgave ai. De nieuwe systeemtechnologie, WRR-Rapport 105, WRR, Den Haag.