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Artificial Intelligence and the Rents of Finance Workers

Author

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  • Jean-Edouard Colliard

    (HEC Paris - Ecole des Hautes Etudes Commerciales)

  • Junli Zhao

Abstract

This paper studies how artificial intelligence (AI) affects the finance labor market when humans and AI perform different tasks in investment projects, and workers earn agency rents that grow with project size. We identify two key effects of AI improvement: A free-riding effect raises worker rents by increasing the probability of successful investment when the worker shirks; A capital reallocation effect shifts investment toward workers with higher or lower rents, depending on which tasks AI improves. Contrary to standard predictions, AI can raise both worker rents and labor demand. We derive implications for capital allocation, labor demand, compensation, and welfare.

Suggested Citation

  • Jean-Edouard Colliard & Junli Zhao, 2025. "Artificial Intelligence and the Rents of Finance Workers," Working Papers hal-05384726, HAL.
    • Handle: RePEc:hal:wpaper:hal-05384726
    DOI: 10.2139/ssrn.5339402
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