Hedge Funds and Mutual Funds Diverge on AI-Related Trading Strategies
A recent survey by Goldman Sachs has revealed a divergence in AI-related trading between hedge funds and mutual funds. The survey, which analyzed the holdings of 991 hedge funds with total stock holdings of about $5.4 trillion and 504 large actively managed mutual funds with total stock assets of about $4.6 trillion, found that both types of institutions have increased their exposure to AI trades, but in different ways.
According to Goldman Sachs' quarterly 'Hedge Fund Trend Monitor' and 'Mutual Fund Fundamentals' reports, hedge funds overall still have substantially deeper exposure to AI trades than mutual funds. However, while hedge funds have taken a risk-off approach by reducing their holdings in large-cap tech and semiconductor stocks, mutual funds have increased their positions in these sectors.
The divergence is most evident among major tech giants such as Microsoft (MSFT.US) and Amazon (AMZN.US), which were the only two large-cap AI tech stocks where hedge funds increased their positions in Q2. Meanwhile, hedge funds reduced their holdings in several other large AI companies, including Alphabet (GOOGL.US), Meta Platforms (META.US), Nvidia (NVDA.US), Broadcom (AVGO.US), Lam Research (LRCX.US), Marvell Technology (MRVL.US), Cisco Systems (CSCO.US), Hewlett Packard Enterprise (HPE.US), and Applied Materials (AMAT.US).
Goldman Sachs' data also shows that mutual funds have increased their exposure to Intel (INTC.US) and SiTime (SITM.US), while hedge funds sold shares of AMD (AMD.US), Micron Technology (MU.US), and SanDisk (SNDK.US). The divergence in AI-related trading is particularly notable, as it suggests that the two types of institutions are taking different approaches to navigating the current market landscape.
Despite the differences between hedge funds and mutual funds, both types of institutions have reached a broad consensus on the importance of AI infrastructure. Goldman Sachs has identified 12 AI infrastructure stocks that were simultaneously increased by both hedge funds and mutual funds in Q2: American Electric Power (AEP.US), AXT (AXTI.US), Bloom Energy (BE.US), CoreWeave (CRWV.US), Flex (FLEX.US), Lion Electric (LGN.US), NiSource (NI.US), Sanmina (SANM.US), SiTime, Seagate Technology (STX.US), Talen Energy (TLN.US), and Xcel Energy (XEL.US).
As the market continues to evolve, it will be interesting to see how hedge funds and mutual funds adapt their AI-related trading strategies. With Nvidia's earnings report and the Jackson Hole Symposium approaching, the $9.3 trillion capital reshaping the AI positioning map is setting the stage for the next phase of the market.