Goldman Sachs: The Markets
2026-07-27 · Hosted by — · Goldman Sachs
Executive Summary
Goldman Sachs Prime Services co-head Vinny Lynn told host Chris Hussey that the recent selloff in high-momentum tech stocks has been historically sharp — the firm's high-beta momentum basket was down 32% from highs and its TMT (technology, media, telecom) long-short pair down almost 40%, the largest deleveraging on Goldman's 10-year record, on par with summer 2024. Hedge fund selling rotated through the AI trade over the past two months: hyperscalers first, then semiconductors and memory makers, and most recently tech hardware and infrastructure names.
Key Stories & Changes
1. Historic Momentum Factor Unwind
Goldman's high-beta momentum basket was down 32% from highs coming into the week, now up only 16% year-to-date after being up more than 60% in June
The TMT momentum long-short pair is down almost 40% from highs — the sharpest such drawdown in the past five years
This is the largest and most persistent deleveraging on Goldman's 10-year record, matching the magnitude of the summer 2024 episode
Selling rotated through the AI complex over time: hyperscalers first (early June), then semiconductor/memory makers (second half of June), then tech hardware and infrastructure providers (July)
2. Hedge Fund Positioning: Reduced but Not Washed Out
Global semiconductor net allocation started the year at 10% of hedge fund net equity investment, spiked to as high as 24% in June (a record on Goldman's data), and has since fallen to 18%
Gross exposure in equity fundamental long-short funds fell from five-year highs in early June to the 65th percentile versus the last three years
Net exposure fell from four-year highs to the same 65th percentile range
Momentum factor realized volatility hit its highest level in 45 years, essentially the highest outside of recessions, driving a risk-management-led derisking alongside the price decline
3. Signs of Stabilization
As the momentum factor began stabilizing toward the end of last week, Lynn's data show buying activity resurfacing over the last three trading sessions
Lynn characterized the move as "a healthy reset, not a complete loss in fundamental conviction"
Contributing technical factors beyond fundamentals: heavy capital markets issuance, index rebalancing, pension rebalancing, and monthly/quarterly options expirations
4. Strong Hedge Fund Performance Despite Volatility
Average hedge fund performance up 9% through the end of June — among the best first halves in the past 20 years
All hedge fund strategies tracked by Goldman posted positive returns year-to-date
Despite elevated market concentration, single-stock volatility has been "through the roof," pushing stock correlations to multi-year lows — a favorable environment for stock pickers
Current recommended trade: buying the dip in U.S. infrastructure equipment names, using limited-loss option structures (like collars) given elevated volatility, with valuations near two-year lows
5. What to Watch Into Next Week's Mega-Cap Earnings
Lynn is watching the trajectory of AI CapEx spend into next year and any incremental evidence that spending is converting into revenue and profit growth
Also watching whether stock correlations begin rising again post-earnings, given that hedge funds have simultaneously reduced both AI longs and macro hedges — a "textbook definition of de-risking" that leaves positioning vulnerable if correlations snap higher
Trends Identified
1. A Textbook Deleveraging Cycle, Not a Fundamental Break
Lynn's data-driven account frames the momentum unwind as primarily a positioning and risk-management event — driven by crowding, leveraged ETF proliferation, and record factor volatility — rather than a reassessment of AI's long-term potential, which he still calls "among the biggest tech cycles we've ever seen." This distinction matters because it implies the selloff is more likely to stabilize once positioning normalizes, which his data suggests is already underway.
2. Selling Rotated Through the AI Value Chain Sequentially
The shift in selling pressure from hyperscalers to semiconductors/memory to hardware/infrastructure over successive weeks illustrates how a single "AI trade" unwind cascades through different parts of the ecosystem at different times, rather than hitting all AI-exposed names simultaneously — useful context for reading which sub-sector is under the most pressure at any given moment.
3. Reduced Macro Hedges Alongside Reduced AI Longs Creates Correlation Risk
Lynn's observation that funds cut both AI-related long positions and macro hedges simultaneously is a notable vulnerability: if stock correlations rise again (which options markets are not currently pricing), the same funds that thought they'd reduced risk could be caught more exposed than they intend, especially heading into next week's mega-cap earnings and Fed decision. ---
Sentiment Analysis
Overall Market Sentiment: Constructive Reset
Lynn's tone was analytical and ultimately reassuring — using granular positioning data to argue the AI-momentum selloff reflects healthy deleveraging rather than a broken thesis, with early signs of stabilization already visible.
Risk Factors Highlighted
Record momentum factor volatility: At a 45-year high, suggesting continued sharp swings are likely even as prices stabilize.
Reduced macro hedges alongside reduced AI longs: Leaves funds vulnerable if stock correlations rise unexpectedly post-earnings.
Still-elevated semiconductor concentration: At 18% of net hedge fund equity allocation, well above the 10% starting point, leaving room for further unwind.
Market concentration risk: Despite low correlations offering stock-picking opportunity, the underlying index remains historically concentrated in a small number of names.
AI CapEx-to-revenue conversion uncertainty: Explicitly flagged as the key swing factor for next week's mega-cap earnings reaction.
This episode was covered in today's [The Market Signal — 2026-07-27](https://marketsignal.beehiiv.com/p/the-market-signal-2026-07-27), a cross-source synthesis of multiple podcast reports.