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Conditional Gains: When AI Investment Enhances Firm Efficiency

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  • Kazakis, Pantelis

Abstract

The rapid adoption of artificial intelligence (AI) in the corporate world has raised important questions about its impact on firm performance. This paper examines whether investments in AI—measured by the share of AI-skilled workers—are associated with improvements in firm efficiency. The analysis reveals that AI investment alone does not lead to higher efficiency. That is, firms employing more AI-skilled labor do not, on average, perform more efficiently than others. However, the results show that this relationship depends on firm context. Firms operating in more competitive markets appear to benefit more from AI investment. Additionally, firms that engage more heavily in tax avoidance also realize greater efficiency gains from AI, possibly due to their more aggressive or strategic resource allocation practices.

Suggested Citation

  • Kazakis, Pantelis, 2025. "Conditional Gains: When AI Investment Enhances Firm Efficiency," MPRA Paper 124246, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:124246
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    References listed on IDEAS

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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. Chad Syverson, 2011. "What Determines Productivity?," Journal of Economic Literature, American Economic Association, vol. 49(2), pages 326-365, June.
    3. Bok Baik & Joon Chae & Sunhwa Choi & David B. Farber, 2013. "Changes in Operational Efficiency and Firm Performance: A Frontier Analysis Approach," Contemporary Accounting Research, John Wiley & Sons, vol. 30(3), pages 996-1026, September.
    4. Nicholas Bloom & Mirko Draca & John Van Reenen, 2016. "Trade Induced Technical Change? The Impact of Chinese Imports on Innovation, IT and Productivity," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(1), pages 87-117.
    5. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
    6. Allison Koester & Terry Shevlin & Daniel Wangerin, 2017. "The Role of Managerial Ability in Corporate Tax Avoidance," Management Science, INFORMS, vol. 63(10), pages 3285-3310, October.
    7. Liu, Yongda & Zhang, Zhuang, 2025. "Unlocking operational efficiency: How AI human capital investment enhances data processing efficiency?," Economics Letters, Elsevier, vol. 247(C).
    8. Hanlon, Michelle & Heitzman, Shane, 2010. "A review of tax research," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 127-178, December.
    9. Erin Henry & Richard Sansing, 2018. "Corporate tax avoidance: data truncation and loss firms," Review of Accounting Studies, Springer, vol. 23(3), pages 1042-1070, September.
    10. Hasan, Mostafa Monzur & Lobo, Gerald J. & Qiu, Buhui, 2021. "Organizational capital, corporate tax avoidance, and firm value," Journal of Corporate Finance, Elsevier, vol. 70(C).
    11. Peter Demerjian & Baruch Lev & Sarah McVay, 2012. "Quantifying Managerial Ability: A New Measure and Validity Tests," Management Science, INFORMS, vol. 58(7), pages 1229-1248, July.
    12. Baghdadi, Ghasan & Podolski, Edward J. & Veeraraghavan, Madhu, 2022. "CEO risk-seeking and corporate tax avoidance: Evidence from pilot CEOs," Journal of Corporate Finance, Elsevier, vol. 76(C).
    13. Erik Brynjolfsson & Lorin M. Hitt, 2000. "Beyond Computation: Information Technology, Organizational Transformation and Business Performance," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 23-48, Fall.
    14. Jay J. Ebben & Alec C. Johnson, 2005. "Efficiency, flexibility, or both? Evidence linking strategy to performance in small firms," Strategic Management Journal, Wiley Blackwell, vol. 26(13), pages 1249-1259, December.
    15. Anastassia Fedyk & James Hodson, 2023. "Trading on Talent: Human Capital and Firm Performance," Review of Finance, European Finance Association, vol. 27(5), pages 1659-1698.
    16. Brad Hershbein & Lisa B. Kahn, 2018. "Do Recessions Accelerate Routine-Biased Technological Change? Evidence from Vacancy Postings," American Economic Review, American Economic Association, vol. 108(7), pages 1737-1772, July.
    17. Jan De Loecker & Jan Eeckhout & Gabriel Unger, 2020. "The Rise of Market Power and the Macroeconomic Implications [“Econometric Tools for Analyzing Market Outcomes”]," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(2), pages 561-644.
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    Keywords

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    JEL classification:

    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • G30 - Financial Economics - - Corporate Finance and Governance - - - General
    • H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion and Avoidance
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms

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