Papers
NBER2026

The Growth and Performance of Artificial Intelligence in Asset Management

Shuang Chen, Clemens Sialm, David X. Xu

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1
Latest record
2026-06-01
Primary source
NBER
TL;DR

We examine the growth and performance of AI-driven investing.

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NBER
Fields
Labor
Methods and data
Descriptive
Abstract

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.

Source versions
NBER2026-06-01
Working Paper w35273
w35273
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