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Artificial intelligence and shapeshifting capitalism

Author

Listed:
  • Luca Grilli

    (Politecnico di Milano, Department of Management, Economics, and Industrial Engineering)

  • Sergio Mariotti

    (Politecnico di Milano, Department of Management, Economics, and Industrial Engineering)

  • Riccardo Marzano

    (Sapienza Università di Roma)

Abstract

Artificial intelligence (AI) is anticipated to reshape the economy by revolutionizing human interaction with technology. Despite its significance, research endeavors in the field of economics remain relatively limited. In this editorial, we outline the articles featured in a Virtual Special Issue designed to expand the scope of inquiry for economists examining AI and its implications. We position these articles within the current economic literature and propose an agenda for further research aimed at fostering a more varied understanding of the impacts, implications, and challenges of AI technologies at the intersection with economic activity.

Suggested Citation

  • Luca Grilli & Sergio Mariotti & Riccardo Marzano, 2024. "Artificial intelligence and shapeshifting capitalism," Journal of Evolutionary Economics, Springer, vol. 34(2), pages 303-318, April.
    • Handle: RePEc:spr:joevec:v:34:y:2024:i:2:d:10.1007_s00191-024-00865-7
    DOI: 10.1007/s00191-024-00865-7
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    1. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2021. "The Productivity J-Curve: How Intangibles Complement General Purpose Technologies," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 333-372, January.
    2. Levy, Gilat & Razin, Ronny, 2019. "Echo chambers and their effects on economic and political outcomes," LSE Research Online Documents on Economics 101413, London School of Economics and Political Science, LSE Library.
    3. Hideki Nakamura & Joseph Zeira, 2024. "Automation and unemployment: help is on the way," Journal of Economic Growth, Springer, vol. 29(2), pages 215-250, June.
    4. Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K, 2019. "Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda," International Journal of Information Management, Elsevier, vol. 48(C), pages 63-71.
    5. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    6. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    7. Yingying Lu & Yixiao Zhou, 2021. "A review on the economics of artificial intelligence," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1045-1072, September.
    8. Stephanie Assad & Robert Clark & Daniel Ershov & Lei Xu, 2024. "Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market," Journal of Political Economy, University of Chicago Press, vol. 132(3), pages 723-771.
    9. Jens Ludwig & Sendhil Mullainathan, 2021. "Fragile Algorithms and Fallible Decision-Makers: Lessons from the Justice System," Journal of Economic Perspectives, American Economic Association, vol. 35(4), pages 71-96, Fall.
    10. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
    11. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    12. Jean Tirole, 2023. "Competition and the Industrial Challenge for the Digital Age," Annual Review of Economics, Annual Reviews, vol. 15(1), pages 573-605, September.
    13. William D. Nordhaus, 2021. "Are We Approaching an Economic Singularity? Information Technology and the Future of Economic Growth," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 299-332, January.
    14. Gilat Levy & Ronny Razin, 2019. "Echo Chambers and Their Effects on Economic and Political Outcomes," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 303-328, August.
    15. Daron Acemoglu & Pascual Restrepo, 2017. "Secular Stagnation? The Effect of Aging on Economic Growth in the Age of Automation," American Economic Review, American Economic Association, vol. 107(5), pages 174-179, May.
    16. Sergei Guriev & Elias Papaioannou, 2022. "The Political Economy of Populism," Journal of Economic Literature, American Economic Association, vol. 60(3), pages 753-832, September.
    17. Hal R. Varian, 2010. "Computer Mediated Transactions," American Economic Review, American Economic Association, vol. 100(2), pages 1-10, May.
    18. 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.
    19. Berg, Andrew & Buffie, Edward F. & Zanna, Luis-Felipe, 2018. "Should we fear the robot revolution? (The correct answer is yes)," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 117-148.
    20. Maya Escueta & Andre Joshua Nickow & Philip Oreopoulos & Vincent Quan, 2020. "Upgrading Education with Technology: Insights from Experimental Research," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 897-996, December.
    21. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    22. Alvin E. Roth, 2018. "Marketplaces, Markets, and Market Design," American Economic Review, American Economic Association, vol. 108(7), pages 1609-1658, July.
    23. Andrei A. Kirilenko & Andrew W. Lo, 2013. "Moore's Law versus Murphy's Law: Algorithmic Trading and Its Discontents," Journal of Economic Perspectives, American Economic Association, vol. 27(2), pages 51-72, Spring.
    24. Jean-Pierre I. Rest & Alan M. Sears & Li Miao & Lorna Wang, 2020. "A note on the future of personalized pricing: cause for concern," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(2), pages 113-118, April.
    25. Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
    26. Michael A Cusumano & Annabelle Gawer & David B Yoffie, 2021. "Can self-regulation save digital platforms? [Uncertainty and the welfare economics of medical care]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(5), pages 1259-1285.
    27. Steve J. Bickley & Ho Fai Chan & Benno Torgler, 2022. "Artificial intelligence in the field of economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 2055-2084, April.
    28. Dosi, Giovanni, 1993. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
    29. Hong Cheng & Ruixue Jia & Dandan Li & Hongbin Li, 2019. "The Rise of Robots in China," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 71-88, Spring.
    30. Massimo Colombo & Luca Grilli, 2007. "Funding Gaps? Access To Bank Loans By High-Tech Start-Ups," Small Business Economics, Springer, vol. 29(1), pages 25-46, June.
    31. Jean Tirole, 2023. "Competition and the Industrial Challenge for the Digital Age," Post-Print hal-04464905, HAL.
    32. Margarita Leib & Nils Köbis & Rainer Michael Rilke & Marloes Hagens & Bernd Irlenbusch, 2024. "Corrupted by Algorithms? How AI-generated and Human-written Advice Shape (Dis)honesty," The Economic Journal, Royal Economic Society, vol. 134(658), pages 766-784.
    33. Joel Mokyr & Chris Vickers & Nicolas L. Ziebarth, 2015. "The History of Technological Anxiety and the Future of Economic Growth: Is This Time Different?," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 31-50, Summer.
    34. Tang, Christopher S. & Veelenturf, Lucas P., 2019. "The strategic role of logistics in the industry 4.0 era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 1-11.
    35. JinHyo Joseph Yun & DongKyu Won & KyungBae Park, 2018. "Entrepreneurial cyclical dynamics of open innovation," Journal of Evolutionary Economics, Springer, vol. 28(5), pages 1151-1174, December.
    36. Bernd W. Wirtz & Jan C. Weyerer & Carolin Geyer, 2019. "Artificial Intelligence and the Public Sector—Applications and Challenges," International Journal of Public Administration, Taylor & Francis Journals, vol. 42(7), pages 596-615, May.
    37. David Soskice, 2020. "The ICT revolution and neo-liberalism: Its major pathologies and a Polanyian second movement," Stato e mercato, Società editrice il Mulino, issue 1, pages 17-39.
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