LSEG Lipper data shows US equity funds attracted $5.07 billion in net inflows during the week ending 21 October, marking a second consecutive week of investor purchases despite growing concerns about artificial intelligence valuations and the sustainability of recent technology-sector gains.
The latest figures represent a slowdown of approximately 62% from the previous week's $13.37 billion in inflows. The reduction indicates that investors continued allocating money to US equities, although the pace of net investment weakened substantially as financial markets assessed corporate earnings and borrowing costs.
Lower US Treasury yields helped support equity demand during the reporting period. The benchmark 10-year Treasury yield had declined nearly 38 basis points from its early-October peak of 5.3645%, reducing some of the pressure associated with elevated borrowing costs and improving the relative appeal of risk assets.
Corporate earnings provided another source of support. According to LSEG data, approximately 24% of S&P 500 companies had reported their quarterly results, with around 82% exceeding analysts' average earnings expectations.
However, the overall equity inflow figure concealed considerable differences between investment categories. Large-cap US equity funds attracted $8.63 billion, while mid-cap funds received $1.92 billion. Small-cap funds experienced withdrawals of $4.24 billion, indicating that demand remained concentrated in larger businesses.
The pattern suggests investors were favouring established companies with stronger financial resources rather than increasing exposure evenly across the market. Smaller businesses can be more sensitive to financing conditions, although weekly fund flows alone cannot establish the reasons behind investors' allocation decisions.
Sector funds received $1.8 billion following two consecutive weeks of withdrawals. Metals and mining attracted $1.18 billion, while technology funds recorded $429 million in net purchases and industrials received $269 million.
The relatively modest technology inflows came amid growing questions about the financing requirements of artificial intelligence infrastructure. Investors are increasingly assessing whether substantial expenditure on data centres, computing equipment and related technology will generate sufficient returns to justify current valuations.
Fixed-income funds experienced a different pattern. US bond funds recorded $969 million in net withdrawals, ending 26 consecutive weeks of inflows. Longer-dated government and Treasury funds lost $3.3 billion, while short- and intermediate-term government and Treasury products attracted $1.76 billion.
Municipal debt funds received $1.56 billion, highlighting continued demand for selected areas of fixed income despite the overall withdrawals. The divergence illustrates how investors can adjust portfolio duration and credit exposure without abandoning bonds altogether.
Money market funds also recorded a reversal, attracting $14.82 billion following approximately $45.93 billion in withdrawals during the previous week. Such movements demonstrate the importance of short-term liquidity preferences alongside longer-term investment allocations.
For asset managers, wealth advisers and institutional investment teams, the figures underline the need to look beyond headline equity inflows when assessing market conditions. Strong purchases of large-cap funds alongside substantial small-cap withdrawals can leave portfolios increasingly dependent on a narrower group of companies.
That concentration can become particularly relevant when technology valuations are sensitive to earnings expectations, capital expenditure and interest-rate movements. Portfolio diversification therefore depends on the underlying economic exposures of investments, not simply the number of funds held.
The latest LSEG Lipper figures suggest that demand for US equities remains positive, but investor confidence is not uniform across market segments. Whether corporate earnings and lower Treasury yields can sustain further inflows will be important for asset managers assessing portfolio risks and future allocation decisions.
