References
- Acemoglu, D., D. Autor, J. Hazell and P. Restrepo (2022), Artificial Intelligence and Jobs: Evidence from Online Vacancies, Journal of Labor Economics, 40(S1), S293-S340.
- Acemoglu, D. and P. Restrepo (2018), Modeling Automation, American Economic Review Papers and Proceedings, 108, 48-53.
- Aghion, P., C. Antonin, S. Bunel and X. Jaravel (2023), The Effects of Automation on Labor Demand. A Survey of the Recent Literature, in L. Y. Ing and G. M. Grossman (eds.), Robots and AI. A New Economic Era, Routledge.
- Aghion, P., B. F. Jones and C. I. Jones (2019), Artificial Intelligence and Economic Growth, in A. Agrawal, J. Gans and A. Goldfarb (eds.), The Economics of Artificial Intelligence: An Agenda, University of Chicago Press.
- Autor, D. H. (2015), Why Are There Still So Many Jobs? The History and Future of Workplace Automation, Journal of Economic Perspectives, 29(3), 3-30.
- Babina, T., A. Fedyk, A. He and J. Hodson (2024), Artificial intelligence, firm growth, and product innovation, Journal of Financial Economics, 151, 103745.
- Barrufaldi, S., B. van Beuzekom, H. Dernis, D. Harhoff, N. Rao, D. Rosen-feld and M. Squicciarini (2020), Identifying and measuring developments in artificial intelligence: Making the impossible possible, OECD Science, Technology and Industry Working Papers, 2020/05.
- Berg, A., E. F. Buffie and L.-F. Zanna (2018), Should we fear the robot revolution? (The correct answer is yes), Journal of Monetary Economics, 97(C), 117-148.
- 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, 2023/02.
- Cardona, M., T. Kretschmer and T. Strobel (2013), ICT and productivity: Conclusions from the empirical literature, Information Economics and Policy, 25(3), 109-125.
- Corrado, C., J. Haskel and C. Jona-Lasinio (2021), Artificial intelligence and productivity: An intangible assets approach, Oxford Review of Economic Policy, 37(3), 435-458.
- Czarnitzki, D., G. P. Fernández and C. Rammer (2023), Artificial intelligence and firm-level productivity, Journal of Economic Behavior and Organization, 211, 188-205.
- Proposal for a Regulation of the European Parliament and of the Council laying down harmonised rules on Artificial Intelligence (Artificial Intelligence Act) and amending certain Union legislative acts, 2021/0106 (COD) (2024), https://artificialintelligenceact.eu/wp-content/uploads/2024/01/AI-Act-FullText.pdf (5 February 2024).
- Frey, C. B. and M. A. Osborne (2017), The future of employment: How susceptible are jobs to computerisation?, Technological Forecasting and Social Change, 114, 254-280.
- Gasteiger, E. and K. Prettner (2022), Automation, Stagnation, and the Implications of a Robot Tax, Macroeconomic Dynamics, 26(1), 218-249.
- Graetz, G. and G. Michaels (2018), Robots at Work, The Review of Economics and Statistics, 100(5), 753-768.
- Growiec, J. (2022), Hardware and Software. In Accelerating Economic Growth: Lessons From 200,000 Years of Technological Progress and Human Development, 45-62, Springer.
- International Federation of Robotics (2022), Artificial Intelligence in Robotics, Position Paper.
- Jungmittag, A. and A. Pesole (2019), The impact of robots on labour productivity: A panel data approach covering 9 industries and 12 countries, JRC Working Papers Series on Labour, Education and Technology, 2019/08.
- Jurkat, A., R. Klump and F. Schneider (2022), Tracking the Rise of Robots: The IFR Database, Jahrbücher Für Nationalökonomie Und Statistik.
- Jurkat, A., R. Klump and F. Schneider (2023), Robots and Wages: A Meta-Analysis, Econstor Working Paper, ZBW – Leibniz Information Centre for Economics.
- Kromann, L., N. Malchow-Møller, J. R. Skaksen and A. Sørensen (2019), Automation and productivity—A cross-country, cross-industry comparison, Industrial and Corporate Change, 29(2), 265-287.
- OECD (2019), Artificial Intelligence in Society, OECD Publishing.