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Efficient inefficiency: organisational challenges of realising economic gains from AI

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  • 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.’ We outline several reasons why superfluous tasks are created by managers and why they persist in organisations, drawing on an array of behavioural, managerial, and sociological literature. We argue bounded rationality accounts for why managers often fail to identify superfluous tasks, coupled with organisational conflicts which often incentivise their creation. These factors impede the ability of organisations to avoid efficient inefficiency. Restructuring organisations to promote knowledge sharing and align stakeholder incentives may reduce, though not eliminate, the risk of efficient inefficiency.

Suggested Citation

  • 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.
  • Handle: RePEc:ehl:lserod:126626
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    File URL: https://researchonline.lse.ac.uk/id/eprint/126626/
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    1. 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.
    2. 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.
    3. Mats Alvesson & André Spicer, 2012. "A Stupidity-Based Theory of Organizations," Journal of Management Studies, Wiley Blackwell, vol. 49(7), pages 1194-1220, November.
    4. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    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. 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.
    7. Herbert A. Simon, 1991. "Bounded Rationality and Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 125-134, February.
    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. 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.
    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. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. Ioana Lupu & Joonas Rokka, 2022. "'Feeling in Control' : Optimal Busyness and the Temporality of Organizational Controls," Post-Print hal-04325533, HAL.
    19. 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.
    20. 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.
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    Keywords

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    JEL classification:

    • D20 - Microeconomics - - Production and Organizations - - - General
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • 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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