The Growth and Performance of Artificial Intelligence in Asset Management

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Authors: Shuang Chen, Clemens Sialm, David Xiaoyu Xu
Cited by: 0
References: 36

Abstract

This paper examines AI adoption in asset management and its investment implications. We document that AI-driven investing is concentrated among hedge funds, particularly those employing macro strategies. AI funds exhibit greater alpha comovement and are launched by investment advisers facing stronger performance incentives. These funds significantly outperformed non-AI hedge funds on a risk-adjusted basis, but their outperformance declined over time and disappeared with the growth of AI-driven investing. Nevertheless, AI funds continued to outperform sibling funds managed by the same advisers. Our findings highlight both the alpha-generating potential and the limitations of AI as a source of investment performance.

Fields of Study & Subjects

Financial Markets and Investment Strategies Artificial Intelligence in Healthcare and Education FinTech Crowdfunding Digital Finance

Publication details

Journal / source
National Bureau of Economic Research
Publication date
1 May 2026
Language
EN