
KI-Nutzung in Europa und den USA: Unterschiede und Implikationen für Produktivitätswachstum
References
- Acemoglu, D. (2025). The simple macroeconomics of AI. Economic Policy, 40(121), 13–58.
- Albanesi, S., Dias da Silva, A., Jimeno, J. F., Lamo, A. & Wabitsch, A. (2023, 29. Juli). Artificial intelligence and jobs: Evidence from Europe. VoxEU.org.
- Aldasoro, I., Gambacorta, L., Pal, R., Revoltella, D., Weiss, C. & Wolski, M. (2026). AI adoption, productivity and employment: Evidence from European firms (Nr. 2026-02). EIB Working Papers.
- Bencivelli, L., Formai, S., Mattevi, E. & Padellini, T. (2025). Embracing the digital transition: the adoption of cloud computing and AI by Italian firms. Bank of Italy Occasional Paper, (946).
- Bick, A., Blandin, A. & Deming, D. J. (2026a). The rapid adoption of generative AI. Management Science.
- Bick, A., Blandin, A., Deming, D. J., Fuchs-Schündeln, N. & Jessen, J. (2026b). Mind the Gap: AI Adoption in Europe and the US. CEPR Discussion Paper, 21337.
- Bloom, N., Sadun, R. & Reenen, J. V. (2012). Americans do IT better: US multinationals and the productivity miracle. American Economic Review, 102(1), 167–201.
- Bresnahan, T. F., Brynjolfsson, E. & Hitt, L. M. (2002). Information technology, workplace organization, and the demand for skilled labor: Firm-level evidence. The Quarterly Journal of Economics, 117(1), 339–376.
- Bureau of Labor Statistics. (2026). Nonfarm business sector: Labor productivity (output per hour) for all workers [OPHNFB; Data set]. FRED, Federal Reserve Bank of St. Louis.
- Draghi, M (2024). The Draghi report: A competitiveness strategy for Europe (Part A).
- European Central Bank. (2026). Quarterly national accounts: Labour productivity per hour worked, euro area, index (MNA.Q.Y.I9.W0.S1.S1._Z. LPR_HW._Z._T._Z.IX.LR.N). ECB Data Portal.
- Eurostat. (2026a). Artificial intelligence by size class of enterprise (isoc_eb_ ai) and Artificial intelligence by NACE Rev. 2 activity (isoc_eb_ain2) [Data sets]. Community survey on ICT usage and e-commerce in enterprises, survey years 2021–2025.
- Eurostat. (2026b). Labour productivity and unit labour costs by industry (NACE Rev. 2) (nama_10_lp_a21) [Data set]. National accounts.
- Feenstra, R. C., Inklaar, R. & Timmer, M. P. (2015). The next generation of the Penn World Table. American Economic Review, 105(10), 3150–3182.
- Liu, Y. & Wang, H. (2026). Who on earth is using generative AI? World Development, 199, 107260.
- Yotzov, I., Barrero, J. M., Bloom, N., Bunn, P., Davis, S. J., Foster, K. M., Jalca, A., Meyer, B. H., Mizen, P., Navarrete, M. A., Smietanka, P., Thwaites, G. & Wang, B. Z. (2026). Firm data on AI. NBER Working Paper, 34836.
Language: German, English
Page range: 722 - 727
Published online: Oct 31, 2026
Published in print: Oct 1, 2026
Published by: ZBW – Leibniz-Informationszentrum Wirtschaft
In partnership with: Paradigm Publishing Services
Publication frequency: 12 issues per year
Related subjects:
© 2026 Alexander Bick, Nicola Fuchs-Schündeln, Jonas Jessen, published by ZBW – Leibniz-Informationszentrum Wirtschaft
This work is licensed under the Creative Commons Attribution 4.0 License.