Key Takeaways
- • Morgan Stanley data shows tech momentum trades have logged 65 trading days with single-day moves exceeding 5% so far in 2026, close to the roughly 70 such days seen during the 1999-2001 dot-com bust.
- • In October, the Russell 1000 Equal Weight Index rose about 2% while Morgan Stanley's AI stock basket fell 18%, and about 40% of US long-short equity funds are down year-to-date.
- • Morgan Stanley Prime Brokerage data shows hedge fund net leverage fell to about 47%, but AI infrastructure still accounts for roughly 35% of US hedge fund net exposure.
- • Deutsche Bank downgraded US tech and large-cap growth from overweight to neutral on October 9 and estimates tech's relative performance has about 5 percentage points of downside to its long-term trend channel bottom.
- • Institutional tech positioning fell from the 85th percentile in early October to the 33rd percentile, while earnings remain resilient with about 80% of reporters beating expectations.
Summary
US economic data and corporate earnings have not yet shown clear deterioration, yet Wall Street has shifted into what the source describes as "crisis mode," driven primarily by the concentrated unwinding of crowded AI positions rather than a change in fundamentals. Morgan Stanley multi-asset strategist Nick Savone, writing in the firm's Global Reflections report, said investors are now focused more on position losses than on judging economic resilience.
The volatility data is stark. Since the start of 2026, tech momentum trades have logged 65 trading days with absolute single-day moves above 5%, compared with roughly 70 such days during the entire 1999-2001 dot-com bust, according to Morgan Stanley. In October, the Russell 1000 Equal Weight Index rose about 2%, while Morgan Stanley's AI stock basket fell 18%. Roughly 40% of US long-short equity funds are down year-to-date. Morgan Stanley Prime Brokerage data shows hedge fund net leverage has fallen to about 47%, near the low end of its recent range, though gross leverage remains unusually elevated. AI infrastructure still represents about 35% of US hedge fund net exposure, indicating concentration risk has not been fully eliminated.
Earnings have not deteriorated in line with the selloff. About 80% of companies that have reported beat profit expectations, with third-quarter S&P 500 constituent earnings growth projected at 27% and revenue growth at about 11%. However, strong results no longer guarantee share price gains. Investors are shifting from rewarding capital expenditure to scrutinizing the return that spending generates, particularly as financing costs rise. Meta continues to expand AI infrastructure spending under heightened scrutiny, and semiconductor equipment makers have seen shares fall on short-term guidance shortfalls. Memory producers are cited as a relatively positive example, with rising demand and improving pricing. Morgan Stanley remains broadly bullish on equities but emphasizes earnings resilience, balance sheets and cash flow; since mid-August the quality factor has risen about 6% while the S&P 500 Equal Weight Index fell nearly 4%.
Bond and gold markets sent mixed signals. Savone noted the US inflation surprise index posted one of its largest weekly increases in five years, yet the 10-year Treasury yield had its biggest weekly drop in 14 months, possibly reflecting growth concerns tied to slower AI investment and tighter financing conditions rather than easing inflation. Gold fell 2.8% on a day when the Nasdaq fell sharply, the dollar weakened and the 10-year yield dropped about 17 basis points; Savone said the last similar combination occurred in December 2008, attributing the move to deleveraging and cash demands. In Europe, the French-German bond spread has widened amid weak French growth and fiscal uncertainty, while European equities have held up better, and Morgan Stanley views European momentum indicators as unusually oversold.
Deutsche Bank's multi-asset strategy team downgraded US tech and large-cap growth from overweight to neutral on October 9, citing an imbalance in sector risk-reward. Over the following two weeks, tech fell about 7% while the rest of the S&P 500 rose about 5%. Deutsche Bank's tracking shows tech's relative performance has entered the lower half of its long-term trend channel but has about 5 percentage points to go before the bottom. The bank argues that absent an external shock of comparable magnitude, tech is more likely to stabilize near the channel bottom. Institutional tech positioning fell from the 85th percentile in early October to the 33rd percentile, close to lows seen during the US-Iran conflict. Small-cap positioning has dropped to the 12th percentile, the largest underweight since April 2023. Fund flows are mixed: about $30 billion flowed into tech funds over two weeks, including roughly $12 billion into leveraged ETFs, but the latest trading day recorded a net outflow of about $1.5 billion.
Deutsche Bank estimates current tech positioning implies earnings growth of about 10%, well below the market's forecast of roughly 65% year-on-year third-quarter growth. The bank maintains its 2026 S&P 500 target of 8,000, based on 2026 EPS of $358 and 2027 EPS of $420, and says the downgrade reflects short-term risk-reward rather than a change in its long-term view of tech. The Federal Reserve policy meeting next week and the subsequent US midterm elections could also affect risk appetite and capital allocation.
The volatility data is stark. Since the start of 2026, tech momentum trades have logged 65 trading days with absolute single-day moves above 5%, compared with roughly 70 such days during the entire 1999-2001 dot-com bust, according to Morgan Stanley. In October, the Russell 1000 Equal Weight Index rose about 2%, while Morgan Stanley's AI stock basket fell 18%. Roughly 40% of US long-short equity funds are down year-to-date. Morgan Stanley Prime Brokerage data shows hedge fund net leverage has fallen to about 47%, near the low end of its recent range, though gross leverage remains unusually elevated. AI infrastructure still represents about 35% of US hedge fund net exposure, indicating concentration risk has not been fully eliminated.
Earnings have not deteriorated in line with the selloff. About 80% of companies that have reported beat profit expectations, with third-quarter S&P 500 constituent earnings growth projected at 27% and revenue growth at about 11%. However, strong results no longer guarantee share price gains. Investors are shifting from rewarding capital expenditure to scrutinizing the return that spending generates, particularly as financing costs rise. Meta continues to expand AI infrastructure spending under heightened scrutiny, and semiconductor equipment makers have seen shares fall on short-term guidance shortfalls. Memory producers are cited as a relatively positive example, with rising demand and improving pricing. Morgan Stanley remains broadly bullish on equities but emphasizes earnings resilience, balance sheets and cash flow; since mid-August the quality factor has risen about 6% while the S&P 500 Equal Weight Index fell nearly 4%.
Bond and gold markets sent mixed signals. Savone noted the US inflation surprise index posted one of its largest weekly increases in five years, yet the 10-year Treasury yield had its biggest weekly drop in 14 months, possibly reflecting growth concerns tied to slower AI investment and tighter financing conditions rather than easing inflation. Gold fell 2.8% on a day when the Nasdaq fell sharply, the dollar weakened and the 10-year yield dropped about 17 basis points; Savone said the last similar combination occurred in December 2008, attributing the move to deleveraging and cash demands. In Europe, the French-German bond spread has widened amid weak French growth and fiscal uncertainty, while European equities have held up better, and Morgan Stanley views European momentum indicators as unusually oversold.
Deutsche Bank's multi-asset strategy team downgraded US tech and large-cap growth from overweight to neutral on October 9, citing an imbalance in sector risk-reward. Over the following two weeks, tech fell about 7% while the rest of the S&P 500 rose about 5%. Deutsche Bank's tracking shows tech's relative performance has entered the lower half of its long-term trend channel but has about 5 percentage points to go before the bottom. The bank argues that absent an external shock of comparable magnitude, tech is more likely to stabilize near the channel bottom. Institutional tech positioning fell from the 85th percentile in early October to the 33rd percentile, close to lows seen during the US-Iran conflict. Small-cap positioning has dropped to the 12th percentile, the largest underweight since April 2023. Fund flows are mixed: about $30 billion flowed into tech funds over two weeks, including roughly $12 billion into leveraged ETFs, but the latest trading day recorded a net outflow of about $1.5 billion.
Deutsche Bank estimates current tech positioning implies earnings growth of about 10%, well below the market's forecast of roughly 65% year-on-year third-quarter growth. The bank maintains its 2026 S&P 500 target of 8,000, based on 2026 EPS of $358 and 2027 EPS of $420, and says the downgrade reflects short-term risk-reward rather than a change in its long-term view of tech. The Federal Reserve policy meeting next week and the subsequent US midterm elections could also affect risk appetite and capital allocation.
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