AI and the future of work for economists: rethinking economics education
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- Nicholas Crafts, 2021. "Artificial intelligence as a general-purpose technology: an historical perspective," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(3), pages 521-536.
- David Autor & Caroline Chin & Anna Salomons & Bryan Seegmiller, 2024.
"New Frontiers: The Origins and Content of New Work, 1940–2018,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(3), pages 1399-1465.
- David Autor & Caroline Chin & Anna M. Salomons & Bryan Seegmiller, 2022. "New Frontiers: The Origins and Content of New Work, 1940–2018," NBER Working Papers 30389, National Bureau of Economic Research, Inc.
- David Autor & Caroline Chin & Anna Salomons & Bryan Seegmiller, 2022. "New frontiers: The origins and content of new work, 1940-2018," POID Working Papers 049, Centre for Economic Performance, LSE.
- David H. Autor & David Dorn, 2013.
"The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market,"
American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
- David H. Autor & David Dorn, 2009. "The Growth of Low Skill Service Jobs and the Polarization of the U.S. Labor Market," NBER Working Papers 15150, National Bureau of Economic Research, Inc.
- Autor, David & Dorn, David, 2012. "The Growth of Low Skill Service Jobs and the Polarization of the U.S. Labor Market," IZA Discussion Papers 7068, IZA Network @ LISER.
- Tyna Eloundou & Sam Manning & Pamela Mishkin & Daniel Rock, 2023. "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models," Papers 2303.10130, arXiv.org, revised Aug 2023.
- Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
- Daron Acemoglu & Pascual Restrepo, 2018.
"Artificial Intelligence, Automation, and Work,"
NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236,
National Bureau of Economic Research, Inc.
- Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," NBER Working Papers 24196, National Bureau of Economic Research, Inc.
- Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-298, Boston University - Department of Economics.
- Carlo Pizzinelli & Augustus J Panton & Ms. Marina Mendes Tavares & Mauro Cazzaniga & Longji Li, 2023. "Labor Market Exposure to AI: Cross-country Differences and Distributional Implications," IMF Working Papers 2023/216, International Monetary Fund.
- Daron Acemoglu & Pascual Restrepo, 2020.
"Robots and Jobs: Evidence from US Labor Markets,"
Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
- Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-297, Boston University - Department of Economics.
- Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," NBER Working Papers 23285, National Bureau of Economic Research, Inc.
- Edward Felten & Manav Raj & Robert Seamans, 2021. "Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses," Strategic Management Journal, Wiley Blackwell, vol. 42(12), pages 2195-2217, December.
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This paper has been announced in the following NEP Reports:- NEP-AIN-2025-06-23 (Artificial Intelligence)
- NEP-PKE-2025-06-23 (Post Keynesian Economics)
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