Kazakis, Pantelis (2025): Conditional Gains: When AI Investment Enhances Firm Efficiency.
![]() |
PDF
MPRA_paper_124246.pdf Download (1MB) |
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.
Item Type: | MPRA Paper |
---|---|
Original Title: | Conditional Gains: When AI Investment Enhances Firm Efficiency |
Language: | English |
Keywords: | artificial intelligence (AI), firm efficiency, market power, tax avoidance |
Subjects: | D - Microeconomics > D4 - Market Structure, Pricing, and Design > D40 - General E - Macroeconomics and Monetary Economics > E2 - Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy > E22 - Investment ; Capital ; Intangible Capital ; Capacity G - Financial Economics > G3 - Corporate Finance and Governance > G30 - General H - Public Economics > H2 - Taxation, Subsidies, and Revenue > H26 - Tax Evasion and Avoidance L - Industrial Organization > L1 - Market Structure, Firm Strategy, and Market Performance > L11 - Production, Pricing, and Market Structure ; Size Distribution of Firms |
Item ID: | 124246 |
Depositing User: | Dr. Pantelis Kazakis |
Date Deposited: | 06 Apr 2025 05:40 |
Last Modified: | 06 Apr 2025 05:40 |
References: | Babina, T., Fedyk, A., He, A., & Hodson, J. (2024). Artificial intelligence, firm growth, and product innovation. Journal of Financial Economics, 151, 103745. Baghdadi, G., Podolski, E. J., & Veeraraghavan, M. (2022). Ceo risk-seeking and corporate tax avoidance: Evidence from pilot CEOs. Journal of Corporate Finance, 76, 102282. Baik, B., Chae, J., Choi, S., & Farber, D. B. (2013). Changes in operational efficiency and firm performance: A frontier analysis approach. Contemporary Accounting Research, 30(3), 996–1026. Balakrishnan, K., Blouin, J. L., & Guay, W. R. (2019). Tax aggressiveness and corporate transparency. The Accounting Review, 94(1), 45–69. Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. Bloom, N., Draca, M., & Van Reenen, J. (2016). Trade induced technical change? the impact of Chinese imports on innovation, it and productivity. The Review of Economic Studies, 83(1), 87–117. Brynjolfsson, E., & Hitt, L. M. (2000). Beyond computation: Information technology, organizational transformation and business performance. Journal of Economic Perspectives, 14(4), 23–48. Brynjolfsson, E., Rock, D., & Syverson, C. (2019). Artificial intelligence and the modern productivity paradox. The Economics of Artificial Intelligence: An Agenda, University of Chicago Press, 23(2019), 23–57. Brynjolfsson, E., Rock, D., & Syverson, C. (2021). The productivity j-curve: How intangibles complement general purpose technologies. American Economic Journal: Macroeconomics, 13(1), 333–372. Cockburn, I. M., Henderson, R., Stern, S., et al. (2018). The impact of artificial intelligence on innovation (Vol. 24449). National Bureau of Economic Research Cambridge, MA, USA. Davenport, T. H., Guha, A., & Grewal, D. (2021). How to design an AI marketing strategy. Harvard Business Review. Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review. De Loecker, J., Eeckhout, J., & Unger, G. (2020). The rise of market power and the macroeconomic implications. The Quarterly Journal of Economics, 135(2), 561–644. Demerjian, P., Lev, B., & McVay, S. (2012). Quantifying managerial ability: A new measure and validity tests. Management Science, 58(7), 1229–1248. Dyreng, S. D., Hanlon, M., & Maydew, E. L. (2010). The effects of executives on corporate tax avoidance. The Accounting Review, 85(4), 1163–1189. Ebben, J. J., & Johnson, A. C. (2005). Efficiency, flexibility, or both? evidence linking strategy to performance in small firms. Strategic Management Journal, 26(13), 1249–1259. Fedyk, A., & Hodson, J. (2023). Trading on talent: Human capital and firm performance. Review of Finance, 27(5), 1659–1698. Forbes Expert Panel. (2023). 10 hurdles companies are facing when implementing AI (and how To overcome them) [Forbes]. Retrieved April 2, 2024, from https://www.forbes.com/councils/theyec/2023/10/25/10-hurdles-companies-are-facing-when-implementing-ai-and-how-to-overcome-them/. Hanlon, M., & Heitzman, S. (2010). A review of tax research. Journal of Accounting and Economics, 50(2-3), 127–178. Hasan, M. M., Lobo, G. J., & Qiu, B. (2021). Organizational capital, corporate tax avoidance, and firm value. Journal of Corporate Finance, 70, 102050. Henry, E., & Sansing, R. (2018). Corporate tax avoidance: Data truncation and loss firms. Review of Accounting Studies, 23, 1042–1070. Hershbein, B., & Kahn, L. B. (2018). Do recessions accelerate routine-biased technological change? Evidence from vacancy postings. American Economic Review, 108(7), 1737–1772. Heyman, F., Norbäck, P.-J., & Persson, L. (2021). Artificial intelligence, robotics, work and productivity: The role of firm heterogeneity (tech. rep.). IFN Working Paper. Koester, A., Shevlin, T., & Wangerin, D. (2017). The role of managerial ability in corporate tax avoidance. Management Science, 63(10), 3285–3310. Liu, Y., & Zhang, Z. (2025). Unlocking operational efficiency: How ai human capital investment enhances data processing efficiency? Economics Letters, 247, 112147. Porter, M. E., & Strategy, C. (1980). Techniques for analyzing industries and competitors. Competitive Strategy. New York: Free. Syverson, C. (2011). What determines productivity? Journal of Economic Literature, 49(2), 326–365. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/124246 |