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June 17, 2026

Which crowded trades are people starting to worry about?

21 episodes10 podcastsJan 16, 2026 – Jun 17, 2026
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Analysts are increasingly concerned about concentration risk in the AI-driven technology trade, which has resulted in narrow market leadership and stretched valuations [13, 30]. A small number of stocks that have experienced vertical gains now represent over **18% of the market-cap weighted index**, creating a vulnerability for the broader market should a correction occur . This parabolic momentum has pushed the Nasdaq to historically high forward P/E multiples between 35-37x . Concerns are mounting that the massive AI-related capital expenditure boom will lead to contracting profit margins from rising depreciation and eventual write-offs for many companies [10, 19]. However, this view is not unanimous; other analysts contend that valuations are not stretched because earnings revisions are rising on par with or even faster than stock prices, causing valuation multiples to remain flat or even shrink [16, 18, 29]. This crowded trade also faces risks from a potential rotation into undervalued sectors like energy and healthcare [12, 14] and a looming equity supply shock from a wave of tech IPOs and secondary offerings that could force investors to sell liquid large-cap names [12, 15].

Beyond the concentration in specific stocks, a more systemic risk is developing from hidden leverage and correlation within hedge funds . Hedge fund leverage has returned to **post-2008 highs**, but this leverage is highly concentrated in the same popular trades [2, 3]. Analysts warn that while many funds may appear diversified with low betas to the S&P 500, they are unknowingly exposed to high correlation risk by holding the same underlying names [4, 5]. This combination of bullish "buy the dip" psychology and hidden concentration has created a fragile market structure where a seemingly minor trigger could cause a rapid, correlated sell-off as leveraged players are forced to de-risk simultaneously . Early signs of investors taking profits have already been observed in markets like South Korea, which may act as a leading indicator for broader risk reassessment .

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A key tension exists between this concentrated risk-taking and evidence of institutional caution. While hedge funds are heavily long the same single stocks, they are also **more short macro products than ever before** in the history of Goldman Sachs' prime brokerage data, indicating a significant degree of hedging and skepticism [7, 11]. This "wall of worry" suggests capital remains on the sidelines, but it doesn't negate the correlation risk on the long side. Another area of growing concern is the private credit market, which has seen a massive influx of capital . This has led to worries about poorly structured deals and the potential for significant dispersion in returns [2, 24]. The primary structural risk involves fund redemption limits, such as a **5% of NAV** quarterly gate, which could create a severe liquidity mismatch during a downturn, especially as sentiment suggests redemption requests are expected to rise [6, 25].

What the sources say

Points of agreement

  • Hedge fund leverage is at post-2008 highs and is highly concentrated in the same popular trades, creating significant systemic risk.
  • The private credit market is seen as a crowded trade, with concerns growing around poorly structured deals, redemption requests, and liquidity.
  • A small number of large-cap technology and AI-related stocks are responsible for a majority of market gains, leading to worries about narrow leadership.

Points of disagreement

  • One view is that AI stocks are in a bubble, while another argues valuations are justified because earnings growth is outpacing stock price appreciation.
  • Some sources describe a market driven by 'animal spirits,' while others point to record hedging by institutional investors, suggesting a 'wall of worry.'
  • There is debate on capital flows, with some expecting a supply shock from tech IPOs, while others see a rotation out of tech into traditional sectors already underway.

Sources

Bloomberg SurveillanceJUN 2, 2026

Equity and Credit Trends | Bloomberg Surveillance

This source warns that despite appearing diversified, hedge funds are highly leveraged and concentrated in the same popular trades, creating underappreciated systemic risk.

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Bloomberg PodcastsMAY 7, 2026

Gundlach Warns About the Risks Facing Private Credit

This source highlights concerns in the private credit space, with Jeffrey Gundlach predicting that redemption requests are likely to increase.

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Bloomberg TalksJUN 5, 2026

Goldman Sachs Partner John Flood Talks Selloff, Stocks Dip | Bloomberg Talks

This source reveals that institutional investors are cautiously positioned, holding record levels of short macro hedges against their long stock positions.

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CNBC TelevisionMAY 13, 2026

Inflation and Iran vs. earnings and AI: Your next move

This source describes the market's parabolic momentum and narrow leadership, driven by a highly concentrated, AI-focused technology rally.

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CNBC TelevisionMAY 13, 2026

Alger's Ankur Crawford: Not worried at all about a possible bubble in equity markets

This source provides a counter-argument to the 'AI bubble' narrative, suggesting that rapid earnings growth is keeping valuations in check.

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Bloomberg PodcastsJUN 6, 2026

Tech Selloff, Bitcoin Drop Test Retail Investor Strength

This source points to early signs of investors pulling back from crowded trades to take gains, citing South Korea as a potential leading indicator.

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