Technology funds alone shed a record $9.3 billion in a single week, marking the first net outflow from US equities since March
For months, money poured into US stocks like water through a fire hose. That hose just kinked. US equity funds recorded $8.5 billion in net outflows for the week ending June 24, according to a Bank of America report citing EPFR Global data. It’s the first weekly outflow since March, and the timing is hard to ignore.
The bigger story sits underneath that headline number. Technology funds, the darlings of the AI-driven rally, saw a staggering $9.3 billion in outflows during the same week. That’s a record. Not a “big week” or a “notable pullback.” A record.
The AI trade hits a wall #
Prior to this outflow, significant inflows had been flooding into tech and AI-themed products. Going from heavy buying to record selling in the span of days suggests something shifted in the collective investor psyche. Historical patterns show that initial outflows following extended inflow periods frequently precede increased choppiness and sector rotation.
Crypto feels the chill too #
The risk-off mood isn’t confined to traditional equities. Around the same period, both Bitcoin and Ethereum ETFs also experienced notable outflows, suggesting the de-risking impulse is cutting across asset classes.
What this means for investors #
A single week of outflows does not make a trend. March saw outflows too, and the market rallied afterward. But record tech fund outflows specifically suggest that the biggest, most crowded trade of the year is getting unwound. Tech’s weighting in major indices means its performance drags or lifts the entire market.
Summer trading volumes are historically lower, which means these outflows hit harder. Less liquidity means each dollar of selling pressure moves prices more.
Analysts will be watching next week’s flow data closely. If outflows accelerate, the “risk-off summer” thesis gains significant credibility. Given the magnitude, specifically the record-breaking nature of the tech fund exits, treating this as noise rather than signal would require a level of optimism that the data doesn’t currently support.
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