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Efficient inefficiency: organisational challenges of realising economic gains from AI

Author

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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: http://eprints.lse.ac.uk/126626/
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    More about this item

    Keywords

    artificial intelligence; bounded rationality; organisational efficiency; productivity; superfluous work;
    All these keywords.

    JEL classification:

    • J50 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - General
    • J1 - Labor and Demographic Economics - - Demographic Economics

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