AI Managed Household Portfolios: A Preliminary Report
Working Paper 35153
DOI 10.3386/w35153
Issue Date
How does AI manage household stock portfolios? We collect a prospective, daily time-series of stock recommendations using several LLM's and study AI's investment style. AI recommends undiversified portfolios that positively load on momentum, large companies, and low book-to-market firms. AI primarily recommends stocks based on how much media attention firms receive. Using multiple versions of queries and requests, we find that buy-and-hold and actively managed AI portfolios do not appear to earn statistically-significant abnormal returns based on the methodology of Daniel et al (1997).
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Copy CitationBruce I. Carlin, Ryan D. Israelsen, and Christopher F. Wazzan, "AI Managed Household Portfolios: A Preliminary Report," NBER Working Paper 35153 (2026), https://doi.org/10.3386/w35153.Download Citation