IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v189y2025ics0148296324006325.html
   My bibliography  Save this article

Efficient Inefficiency: Organisational challenges of realising economic gains from AI

Author

Listed:
  • Mills, Stuart
  • Spencer, David A.

Abstract

Organisations are increasingly using artificial intelligence (AI). Where AI performs productive tasks more efficiently than humans, organisations will benefit economically through increases in productivity. However, if AI is deployed to undertake unproductive, superfluous tasks, the efficiency benefits will be reduced, even if these tasks are performed more efficiently than a human could, because the said tasks are inefficient to begin with. We call this eventuality ‘efficient inefficiency.’

Suggested Citation

  • Mills, Stuart & Spencer, David A., 2025. "Efficient Inefficiency: Organisational challenges of realising economic gains from AI," Journal of Business Research, Elsevier, vol. 189(C).
  • Handle: RePEc:eee:jbrese:v:189:y:2025:i:c:s0148296324006325
    DOI: 10.1016/j.jbusres.2024.115128
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296324006325
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2024.115128?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Giovanni Dosi & Luigi Marengo, 2007. "On the Convergence of Evolutionary and Behavioral Theories of Organizations: A Tentative Roadmap," LEM Papers Series 2007/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Simon Rodan & Charles Galunic, 2004. "More than network structure: how knowledge heterogeneity influences managerial performance and innovativeness," Strategic Management Journal, Wiley Blackwell, vol. 25(6), pages 541-562, June.
    4. Ben Craig & John Pencavel, 1995. "Participation and Productiviy: A Comparison of Worker Cooperatives and Conventional Firms in the Plywood Industry," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 26(1995 Micr), pages 121-174.
    5. Gerard P. Hodgkinson & Barbara Burkhard & Nicolai J. Foss & Dietmar Grichnik & Riikka M. Sarala & Yi Tang & Marc Van Essen, 2023. "The Heuristics and Biases of Top Managers: Past, Present, and Future," Journal of Management Studies, Wiley Blackwell, vol. 60(5), pages 1033-1063, July.
    6. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    7. Mats Alvesson & André Spicer, 2012. "A Stupidity-Based Theory of Organizations," Journal of Management Studies, Wiley Blackwell, vol. 49(7), pages 1194-1220, November.
    8. Broekhuizen, Thijs & Dekker, Henri & de Faria, Pedro & Firk, Sebastian & Nguyen, Dinh Khoi & Sofka, Wolfgang, 2023. "AI for managing open innovation: Opportunities, challenges, and a research agenda," Journal of Business Research, Elsevier, vol. 167(C).
    9. Herbert A. Simon, 1987. "Two Heads Are Better than One: The Collaboration between AI and OR," Interfaces, INFORMS, vol. 17(4), pages 8-15, August.
    10. Armen A. Alchian, 1950. "Uncertainty, Evolution, and Economic Theory," Journal of Political Economy, University of Chicago Press, vol. 58(3), pages 211-211.
    11. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    12. 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.
    13. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    14. Erik Dean & Richard B. Dadzie & Xuan Pham, 2022. "The Instinct of Workmanship and the Incidence of Bullshit Jobs," Journal of Economic Issues, Taylor & Francis Journals, vol. 56(3), pages 673-698, July.
    15. Jon Kleinberg & Himabindu Lakkaraju & Jure Leskovec & Jens Ludwig & Sendhil Mullainathan, 2018. "Human Decisions and Machine Predictions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(1), pages 237-293.
    16. Sebastian Lins & Konstantin D. Pandl & Heiner Teigeler & Scott Thiebes & Calvin Bayer & Ali Sunyaev, 2021. "Artificial Intelligence as a Service," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(4), pages 441-456, August.
    17. Herbert A. Simon, 1991. "Bounded Rationality and Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 125-134, February.
    18. Charles I. Stubbart, 1989. "Managerial Cognition: A Missing Link In Strategic Management Research," Journal of Management Studies, Wiley Blackwell, vol. 26(4), pages 325-347, July.
    19. Sendhil Mullainathan & Ziad Obermeyer, 2022. "Diagnosing Physician Error: A Machine Learning Approach to Low-Value Health Care [“The Determinants of Productivity in Medical Testing: Intensity and Allocation of Care,”]," The Quarterly Journal of Economics, Oxford University Press, vol. 137(2), pages 679-727.
    20. Romer, Paul M., 1990. "Human capital and growth: Theory and evidence," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 32(1), pages 251-286, January.
    21. Paul J. H. Schoemaker, 1993. "Strategic Decisions In Organizations: Rational And Behavioural Views," Journal of Management Studies, Wiley Blackwell, vol. 30(1), pages 107-129, January.
    22. Giovanni Dosi & Luigi Marengo, 2007. "Perspective---On the Evolutionary and Behavioral Theories of Organizations: A Tentative Roadmap," Organization Science, INFORMS, vol. 18(3), pages 491-502, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mills, Stuart & Spencer, David A., 2025. "Efficient inefficiency: organisational challenges of realising economic gains from AI," LSE Research Online Documents on Economics 126626, London School of Economics and Political Science, LSE Library.
    2. Aisa, Rosa & Cabeza, Josefina & Martin, Jorge, 2023. "Automation and aging: The impact on older workers in the workforce," The Journal of the Economics of Ageing, Elsevier, vol. 26(C).
    3. Lorenzo Corno & Giovanni Dosi & Luigi Marengo, 2025. "Behaviours and Learning in Complex Evolving Economies," LEM Papers Series 2025/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Antretter, Torben & Sirén, Charlotta & Grichnik, Dietmar & Wincent, Joakim, 2020. "Should business angels diversify their investment portfolios to achieve higher performance? The role of knowledge access through co-investment networks," Journal of Business Venturing, Elsevier, vol. 35(5).
    5. Gao, Jie & Li, Zhizhuo & Nguyen, Thithuha & Zhang, Wentao, 2025. "Digital transformation and enterprise employment," International Review of Economics & Finance, Elsevier, vol. 99(C).
    6. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    7. Caselli, Mauro & Fracasso, Andrea & Scicchitano, Sergio & Traverso, Silvio & Tundis, Enrico, 2025. "What workers and robots do: An activity-based analysis of the impact of robotization on changes in local employment," Research Policy, Elsevier, vol. 54(1).
    8. Sindhwani, Rahul & Pereira, Vijay & Sampat, Brinda & Shankar, Amit & Nigam, Achint & Salwan, Prashant, 2025. "Exploring barriers to social robot adoption: A mixed-method study in the Indian retail sector," Technological Forecasting and Social Change, Elsevier, vol. 212(C).
    9. Lu, Jing & Xiao, Qinglan & Wang, Taoxuan, 2023. "Does the digital economy generate a gender dividend for female employment? Evidence from China," Telecommunications Policy, Elsevier, vol. 47(6).
    10. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "Robots and the origin of their labour-saving impact," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    11. Zhou, Yuwen & Shi, Xin, 2025. "How does digital technology adoption affect corporate employment? Evidence from China," Economic Modelling, Elsevier, vol. 147(C).
    12. Taalbi, Josef, 2017. "What drives innovation? Evidence from economic history," Research Policy, Elsevier, vol. 46(8), pages 1437-1453.
    13. Gries, Thomas & Naudé, Wim, 2022. "Modelling artificial intelligence in economics," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 56, pages 1-12.
    14. Maha Kalai & Hamdi Becha & Kamel Helali, 2024. "Effect of artificial intelligence on economic growth in European countries: a symmetric and asymmetric cointegration based on linear and non-linear ARDL approach," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 13(1), pages 1-37, December.
    15. Krenz, Astrid & Prettner, Klaus & Strulik, Holger, 2021. "Robots, reshoring, and the lot of low-skilled workers," European Economic Review, Elsevier, vol. 136(C).
    16. Su, Chi-Wei & Yuan, Xi & Umar, Muhammad & Lobonţ, Oana-Ramona, 2022. "Does technological innovation bring destruction or creation to the labor market?," Technology in Society, Elsevier, vol. 68(C).
    17. Wang, Heting & Wang, Huijuan & Guan, Rong, 2024. "Digitalization of industries and labor mobility in China," China Economic Review, Elsevier, vol. 87(C).
    18. Guarascio, Dario & Sacchi, Stefano, 2021. "Technology, risk and social policy. An empirical investigation," GLO Discussion Paper Series 833, Global Labor Organization (GLO).
    19. Genz, Sabrina & Gregory, Terry & Janser, Markus & Lehmer, Florian & Matthes, Britta, 2021. "How do workers adjust when firms adopt new technologies?," ZEW Discussion Papers 21-073, ZEW - Leibniz Centre for European Economic Research.
    20. Du, Junhong & He, Jiajia & Yang, Jing & Chen, Xiaohong, 2024. "How industrial robots affect labor income share in task model: Evidence from Chinese A-share listed companies," Technological Forecasting and Social Change, Elsevier, vol. 208(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:189:y:2025:i:c:s0148296324006325. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.