The Growth and Performance of Artificial Intelligence in Asset Management
Working Paper 35273
DOI 10.3386/w35273
Issue Date
We examine the growth and performance of AI-driven investing. Using investment advisers' regulatory disclosures, labor market data, and fund strategy descriptions, we document that AI-driven investing has grown steadily since the early 2010s and is concentrated among hedge funds. AI hedge funds outperformed non-AI hedge funds in the early years, but this outperformance declined over time, even among early adopters. Contrary to concerns about AI-driven strategy homogeneity, AI hedge funds exhibit lower return comovement than non-AI peers. Our findings highlight both the alpha-generating potential and the limitations of AI as a source of investment performance.
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Copy CitationShuang Chen, Clemens Sialm, and David X. Xu, "The Growth and Performance of Artificial Intelligence in Asset Management," NBER Working Paper 35273 (2026), https://doi.org/10.3386/w35273.Download Citation