Resilienz statt Reskilling: Wie KI den Arbeitsmarkt verändert und wie wir darauf reagieren müssen
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References
- Acemoglu, D. & Autor, D. (2011). Skills, tasks and technologies: Implications for employment and earnings. In Handbook of Labour Economics (Band 4, S. 1043–1171). Elsevier.
- Acemoglu, D. & Restrepo, P. (2019). Automation and new tasks: How technology displaces and reinstates labor. Journal of Economic Perspectives, 33(2), 3–30.
- Arthur, W. B. (2009). The nature of technology: What it is and how it evolves. Simon and Schuster.
- Autor, D. (2024). Applying AI to rebuild middle class jobs (No. w32140). National Bureau of Economic Research.
- Autor, D. H., Levy, F. & Murnane, R. J. (2003). The skill content of recent technological change: An empirical exploration. Quarterly Journal of Economics, 118(4), 1279–1333.
- Autor, D. & Thompson, N. (2025). Expertise. National Bureau of Economic Research.
- Brynjolfsson, E., Chandar, B. & Chen, R. (2025). Canaries in the coal mine? six facts about the recent employment effects of artificial intelligence. Stanford Digital Economy Lab.
- del Rio-Chanona, R. M., Ernst, E., Merola, R., Samaan, D. & Teutloff, O. (2025). AI and jobs. A review of theory, estimates, and evidence. ar-Xiv:2509.15265.
- Eloundou, T., Manning, S., Mishkin, P. & Rock, D. (2024). GPTs are GPTs: Labor market impact potential of LLMs. Science, 384(6702), 1306–1308.
- Felten, E. W., Raj, M. & Seamans, R. (2018). A method to link advances in artificial intelligence to occupational abilities. AEA Papers and Proceedings, 108, S. 54–57.
- Frey, C. B. (2019). The technology trap: Capital, labor, and power in the age of automation. Princeton University Press.
- Humlum, A. & Vestergaard, E. (2025). The unequal adoption of ChatGPT exacerbates existing inequalities among workers. Proceedings of the National Academy of Sciences, 122(1), e2414972121.
- Jacobs, J. (2025). AI labor displacement and the limits of worker retraining. Brookings.
- Lichtinger, G. & Hosseini Maasoum, S. M. (2025). Generative AI as Seniority-Biased Technological Change: Evidence from US Resume and Job Posting Data. Available at SSRN.
- Meadows, D. (2008). Thinking in Systems. Chelsea Green Publishing.
- Teubner, T., Flath, C. M., Weinhardt, C., Van Der Aalst, W. & Hinz, O. (2023). Welcome to the era of ChatGPT et al., the prospects of large language models. Business & Information Systems Engineering, 65(2), 95–101.
- Teutloff, O., Einsiedler, J., Kässi, O., Braesemann, F., Mishkin, P. & del Rio-Chanona, R. M. (2025). Winners and losers of generative AI: Early Evidence of Shifts in Freelancer Demand. Journal of Economic Behavior & Organization, 106845.
Language: German
Page range: 715 - 719
Published on: Oct 23, 2025
Published by: ZBW – Leibniz-Informationszentrum Wirtschaft
In partnership with: Paradigm Publishing Services
Publication frequency: 12 issues per year
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© 2025 Ole Teutloff, Fabian Braesemann, published by ZBW – Leibniz-Informationszentrum Wirtschaft
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