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What They Don't Teach You about Artificial Intelligence at Business School: Stagnation, Oil, and War

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  • Naudé, Wim

    (RWTH Aachen University)

Abstract

This paper discusses four dimensions of the economics of AI that are neglected in business school and university teaching and research. First, students are not being taught that there is no 4th Industrial Revolution; on the contrary, the narrative of the inevitability and wonders of the 4IR is a vital staple of the curricula. Second, students are rarely told that we do not live in a technologically disruptive era; on the contrary, the mantra of "disrupt or else be disrupted" in a world of ceaseless innovation is drummed into students. Third, little is discussed about AI's scaling problem - it faces ecological constraints due to being an energy and water guzzler. Fourthly, business schools largely fail to create awareness that AI has essentially become a project of platform capitalism (techfeudalism) and that the last extraction zone it is being applied to is the Military Industrial Complex (MIC), in furtherance of the Permanent War Economy. Implications for AI governance and business school teaching and research are drawn from this big picture.

Suggested Citation

  • Naudé, Wim, 2024. "What They Don't Teach You about Artificial Intelligence at Business School: Stagnation, Oil, and War," IZA Discussion Papers 17306, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp17306
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    1. Natasha Gilbert, 2023. "Deep-sea mining could soon be approved — how bad is it?," Nature, Nature, vol. 619(7971), pages 684-684, July.
    2. Jason Scharfman, 2023. "Introduction to Cryptocurrency and Digital Asset Fraud and Crime," Springer Books, in: The Cryptocurrency and Digital Asset Fraud Casebook, chapter 0, pages 1-16, Springer.
    3. John G. Fernald & Bing Wang, 2015. "The recent rise and fall of rapid productivity growth," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
    4. Michael Park & Erin Leahey & Russell J. Funk, 2023. "Papers and patents are becoming less disruptive over time," Nature, Nature, vol. 613(7942), pages 138-144, January.
    5. Thiemo Fetzer & Carlo Schwarz, 2021. "Tariffs and Politics: Evidence from Trump’s Trade Wars," The Economic Journal, Royal Economic Society, vol. 131(636), pages 1717-1741.
    6. Chan, Hing Kai & Griffin, James & Lim, Jia Jia & Zeng, Fangli & Chiu, Anthony S.F., 2018. "The impact of 3D Printing Technology on the supply chain: Manufacturing and legal perspectives," International Journal of Production Economics, Elsevier, vol. 205(C), pages 156-162.
    7. Severin Borenstein & Garth Saloner, 2001. "Economics and Electronic Commerce," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 3-12, Winter.
    8. Hanchen Wang & Tianfan Fu & Yuanqi Du & Wenhao Gao & Kexin Huang & Ziming Liu & Payal Chandak & Shengchao Liu & Peter Katwyk & Andreea Deac & Anima Anandkumar & Karianne Bergen & Carla P. Gomes & Shir, 2023. "Scientific discovery in the age of artificial intelligence," Nature, Nature, vol. 620(7972), pages 47-60, August.
    9. Hanchen Wang & Tianfan Fu & Yuanqi Du & Wenhao Gao & Kexin Huang & Ziming Liu & Payal Chandak & Shengchao Liu & Peter Katwyk & Andreea Deac & Anima Anandkumar & Karianne Bergen & Carla P. Gomes & Shir, 2023. "Publisher Correction: Scientific discovery in the age of artificial intelligence," Nature, Nature, vol. 621(7978), pages 33-33, September.
    10. Nathan Nunn, 2008. "The Long-term Effects of Africa's Slave Trades," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(1), pages 139-176.
    11. Daron Acemoglu, 2024. "The Simple Macroeconomics of AI," NBER Working Papers 32487, National Bureau of Economic Research, Inc.
    12. Almeida, Derick & Naudé, Wim & Sequeira, Tiago Neves, 2024. "Artificial Intelligence and the Discovery of New Ideas: Is an Economic Growth Explosion Imminent?," IZA Discussion Papers 16766, Institute of Labor Economics (IZA).
    13. Wim Naudé, 2022. "From the entrepreneurial to the ossified economy," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 46(1), pages 105-131.
    14. David J. Murphy & Marco Raugei & Michael Carbajales-Dale & Brenda Rubio Estrada, 2022. "Energy Return on Investment of Major Energy Carriers: Review and Harmonization," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
    15. Joel Mokyr, 2016. "A Culture of Growth: The Origins of the Modern Economy," Economics Books, Princeton University Press, edition 1, number 10835.
    16. Jason Scharfman, 2023. "The Cryptocurrency and Digital Asset Fraud Casebook," Springer Books, Springer, number 978-3-031-23679-2, December.
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    More about this item

    Keywords

    Artificial Intelligence; capitalism; economic growth; climate change; war;
    All these keywords.

    JEL classification:

    • P18 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Energy; Environment
    • P17 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Performance and Prospects
    • N40 - Economic History - - Government, War, Law, International Relations, and Regulation - - - General, International, or Comparative
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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