

Whether hedge funds remain bullish on AI stocks amid a sharp momentum unwind and de-risking in tech.
Vinny Lin, co-head of Prime Insights and Analytics in Goldman Sachs Global Banking and Markets; his team analyzes hedge-fund prime-broker trade/positioning data for hedge funds and alternative capital allocators.
AI is a major tech cycle, but the AI infrastructure trade became crowded. Hedge funds reduced exposure after volatility spiked; momentum factor volatility hit the highest level in 45 years (outside recessions). Positioning is down to mid-pack (65th percentile vs prior three years) but not “washed out.” Degrossing and reduced macro hedges may keep correlations low; buying could reappear as momentum stabilizes.
High-beta momentum basket down 32% from highs; TMT momentum long/short down ~40% from highs. Tech selling shifted from hyperscalers (early June) to semiconductors/memory (second half of June) to hardware/infrastructure names (July to date). Semis allocation rose from 10% (start of year) to 24% (June), then fell to 18%. Hedge funds averaged about +9% through end of June.
Written by AI. May contain mistakes.
Vinny Lin explains the role of Prime Insights and Analytics for hedge funds.
“including consulting, capital introduction, financing, securities lending, reporting, and then lastly, trade settlement and clearing.”
Discussion on the recent momentum trade dynamics and its impact on tech stocks.
“from an alpha perspective, as of early June, our data will show that essentially the entirety of their positive alpha returns was driven by the AI infrastructure trade.”
Vinny discusses the de-risking practices and leverage levels in hedge funds.
“You sort of climb that wall of worry, and what we've really seen is the wall of worry show up, and that gives you another reason to buy it again.”
Exploration of hedge fund performance and investment strategies amid market concentration.
“First of all, I would say hedge fund performance has been very solid this year.”
Discussion on upcoming earnings and the potential for correlation changes in the market.
“We're going into the biggest week of earnings next week.”

Get the gist, explore an idea or ask about something said.
On The Markets, what are the key points of this episode?
Automatic transcript. May contain errors.
0:04Vincent Lin: This is The Markets. I'm Chris Hussey and today is Wednesday, July 22nd and we're here on the Goldman Sachs training floor with Vinny Lin, who is co-head of Prime Insights and Analytics within Global Banking and Markets. Vinny, thanks so much for joining us. Thanks for having me. We go back a couple of decades, you and I. I haven't had you on the show before, so it's great to have you here. But Prime Insight and Analytics, that can mean anything. Tell us a little bit about what you do and what part of our firm you're in.
0:33Chris Hussey: I would say the primary customer base for Prime Services are hedge funds and also capital allocators in the alternative asset management industry. So they rely on their Prime brokers for a whole suite of services, including consulting, capital introduction, financing, securities lending, reporting, and then lastly, trade settlement and clearing. And so as their trades settle and become custody on the Goldman PB accounts, we have a unique visibility into those trades and positioning changes almost on a real-time basis. And so what our team is focused on is to analyze those data on an aggregate analysis manner and also distill insights on what's happening, you know, essentially the biggest themes that are happening in the hedge fund industry.
1:23Vincent Lin: Okay, Vinny, let's get into some of the trading activity that we're seeing right now. And the momentum trade is front and center. Now, momentum is always talking about stocks that are going up and they keep going up or stocks that are going down, they keep going down. And we've seen a lot of violence in that momentum trade, even as the S &P 500 has managed to stay pretty flat. What are we looking at? What's going on?
1:44Chris Hussey: First of all, the magnitude of the recent drawdown in momentum has been very sharp. Price of our high beta momentum basket coming into this week was down 32 percent from the highs. And it is now only up 16 percent year today after being up more than 60 percent in June. One level deeper, if you look at just the TMT momentum longshore pair, that basket is actually down even more by almost 40 % from the highs, which would be the sharpest drill down that we have seen in the past five years. So clearly, tech stocks have been ground zero in the middle of this momentum unwind. And our data do point to significant length reduction by tech-focused hedge funds in the past two months.
2:32Chris Hussey: The magnitude of the recent supply is the largest on our record, going back to the last 10 years, essentially on par with the episode that we saw in the summer of 2024. And it's not just the persistence and the magnitude of supply that's been notable. It's also how the composition in terms of the source of the selling has been shifting within the tech sector. If we go back to the start of June, the selling was initially led by the hyperscalers. scalars. And in the second half of June, it was shifting to a lot of the semiconductor stocks globally, memory makers. And if you look at the most recent selling activity, essentially July month today, it's been more led by kind of the tech hardware component names and also infrastructure solution providers.
3:18Vincent Lin: So some people may not know this, but you came out of the research department. So you're a fundamental guy as well as one of these technical guys. Put the fundamentals around on that story, is this just investors taking a little bit of froth over a group that by definition, Momentum had done very well? Or is there a fundamental story that you're hearing from customers as well?
3:37Chris Hussey: From a fundamental perspective, in my opinion, AI is among the biggest tech cycles we've ever seen in our lifetime. But the problem is that trade had become very crowded. If you look at our fundamental longshore returns from an alpha perspective, as of early June, our data will show that essentially the entirety of their positive alpha returns was driven by the AI infrastructure trade. And then secondly, using the positioning changes in semiconductors globally as an example. We started this year with global semis, net allocation being 10 % at the start of this year. Meaning if hedge funds holistically have$100 net investment in global equities, $10 of it was being allocated to global semiconductor stocks.
4:26Chris Hussey: But that 10 % number actually more than doubled to as high as 24 % in June, which was by far the highest level on our record. If you look at where it is today, right, that positioning has been reduced from 24 % to 18%, but still far above where we started at this year, but clearly a significant reduction from the highs. Secondly, it's not just hedge funds who have been riding the wave. We have seen significant buying activity and participation by the retail community as well. And I think lastly, you know, the proliferation of the lever ETFs also added additional leverage and overall impact to the system.
5:06Chris Hussey: The second component I'll mention on momentum specifically is not just the price, the severity of the price drawdown. Equally important is the volatility of the factor. When we look at the realized momentum factor volatility in the last three months, it has shot up to the highest level in the last 45 years, essentially the highest level outside recessions. So the recent de-risking in the AI trade has become as much of a risk management exercise as managers look to either control or reduce the overall volatility in their portfolio. The last thing I'll mention is, along with the de-risking, the last six weeks, the overall market has seen a heavy dose of capital market issuance, as well as technical events, such as multiple index rebalancing, pension rebalancing, and also monthly as well as quarterly option expirations.
6:02Chris Hussey: In our opinion, this is a healthy reset, not a complete loss in fundamental conviction. And in fact, as the momentum factor started to stabilize toward the end of last week, we'll start to see some buying activity resurfacing again in the last three trading sessions.
6:17Vincent Lin: Yeah, it makes sense. You sort of climb that wall of worry, and what we've really seen is the wall of worry show up, and that gives you another reason to buy it again. All right. Talk to us a little bit, because you mentioned leverage. You mentioned the de-risking exercise. You've always taught me that there are normal levels of leverage that are within a hedge fund, and then sometimes it goes up, sometimes it goes down. where are we in the leverage side and the gross investment side?
6:43Chris Hussey: So if I look at specifically on our equity fundamental longshore buck and looking at where their exposure levels were six weeks ago in early June, their gross exposure was essentially a five-year highs, right? So positioning was very full. And even on a net exposure basis, netting down long and short investments, net exposure has risen significantly to four-year highs as well. After all the de-risking, and if you look at where positioning is sitting at today, both growth and net exposures are now down to kind of the 65th percentile versus the last three years. So essentially middle of the pack, right?
7:21Chris Hussey: So I think an argument can be made that overall positioning has come down to more kind of cleaner levels as hedge funds have clearly taken some chips off the table. But clearly, by no means, positioning is kind of washed out.
7:37Vincent Lin: All of this is taking place while hedge funds have to navigate a much more concentrated market than they used to. I wouldn't think anybody would want to pay$2.20 for them to invest in the biggest stocks in the world. How are hedge funds navigating the concentration in the market? Do we see them dipping into smaller cap alpha? How does that work?
7:55Chris Hussey: First of all, I would say hedge fund performance has been very solid this year. In fact, through the end of June, we have the average hedge fund performance being up 9%, which will be among the best halves that we've seen the past 20 years with all hedge fund strategies that we've seen printing positive returns year to day. And to your point, I do think this year, despite the market concentration, as you mentioned, still being elevated, it's been a very strong environment from an alpha perspective because even though index level volatility has been relatively contained, single stock volatility has been through the roof.
8:35Chris Hussey: which has translated into stock correlations being at multi-year lows. And so there's a lot of sector rotations, you know, movements underneath the surface, which, you know, has proven to be a very fertile ground for, particularly for single stock pickers. Okay. What's the trade? Buying the dip in the U.S. AI infrastructure equipment names. But, you know, I think the reason being, you know, valuation is down to almost two-year lows. But because of the increased volatility, as we talked about previously, I think probably a better expression is to do it using limited loss structure, like cost spreads in option space.
9:13Vincent Lin: I love that. A little juicy. All right. We're going into the biggest week of earnings next week. What are you watching for?
9:20Chris Hussey: So just like, you know, every single biggest tech investors, I'm watching mega cap tech hyperscale earnings closely. You know, first of all, the trajectory of their AI cap is spent for the rest of this year. into next year and also any incremental progress on translating those capex spend into incremental revenue and profit growth at least among a few of the hyperscalers. And then as we move out of the earnings cycle, one thing I'm watching closely is if correlations will start picking up again. Because even though we have seen a very significant de-risking in the AI trade, simultaneously we have seen a meaningful reduction in the amount of macro hedges that people have on.
10:01Chris Hussey: So essentially, this is your textbook definition of degrossing, taking off your AI loans, but also reducing your macro hedges. So, you know, I think the market is still, you know, pricing implying stock correlation is remaining low. But that now will be one of the factors I'm watching closely as we move deeper into summer.
10:18Vincent Lin: Vinny Lin, you always put in the insight into all the analytics that just proliferate across the trading floor. Thanks so much for taking the time with us. Really appreciate it.
10:25Chris Hussey: Thanks, Chris.
10:26Vincent Lin: That does it for this week's episode of The Markets. I'm Chris Hussey. Thanks for listening.
10:57Chris Hussey: may contain forward-looking statements. Past performance is not indicative of future results. Neither Goldman Sachs nor any of its affiliates make any representations or warranties, expressed or implied, as to the accuracy or completeness of the statements or information contained herein, and disclaim any liability whatsoever for reliance on such information for any purpose. Each name of a third-party organization mentioned is the property of the company to which it relates, is used here strictly for informational and identification purposes only, and is not used to imply any ownership or license rights between any such company and Goldman Sachs.
11:25Chris Hussey: A transcript is provided for convenience and may differ from the original video or audio content. Goldman Sachs is not responsible for any errors in the transcript. This material should not be copied, distributed, published, or reproduced in whole or in part or disclosed by any recipient to any other person without the express written consent of Goldman Sachs. Copyright 2026, Goldman Sachs. All rights reserved.
Tech stocks been buffeted by a reversal of momentum in US equities, but hedge funds are still fundamentally bullish on AI stocks, according to Vincent Lin, co-head of Prime Insights and Analytics in Global Banking & Markets. In this conversation with Chris Hussey, he explains why the greatest cumulative selling of tech stocks in the history of his data set looks more like a “healthy reset” amid crowded trades and high volatility rather than a loss of conviction in the AI trade.
Date of recording: July 22, 2026.
The opinions and views expressed herein are as of the date of publication, subject to change without notice, and may not necessarily reflect the institutional views of Goldman Sachs or its affiliates. The material provided is intended for informational purposes only, and does not constitute investment advice, a recommendation from any Goldman Sachs entity to take any particular action, or an offer or solicitation to purchase or sell any securities or financial products. This material may contain forward-looking statements. Past performance is not indicative of future results. Neither Goldman Sachs nor any of its affiliates make any representations or warranties, express or implied, as to the accuracy or completeness of the statements or information contained herein and disclaim any liability whatsoever for reliance on such information for any purpose. Each name of a third-party organization mentioned is the property of the company to which it relates, is used here strictly for informational and identification purposes only and is not used to imply any ownership or license rights between any such company and Goldman Sachs.
A transcript is provided for convenience and may differ from the original video or audio content. Goldman Sachs is not responsible for any errors in the transcript. This material should not be copied, distributed, published, or reproduced in whole or in part or disclosed by any recipient to any other person without the express written consent of Goldman Sachs.
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