AI trading overwhelmed: storage chains reach extreme congestion, while giants like Nvidia are collectively "left on the sidelines"

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Crowded trades are the ultimate manifestation of market consensus, and also an early warning signal of risk accumulation.

According to Wind Chasing Trading Desk, Morgan Stanley's latest Q1 2026 institutional holdings report on US large-cap tech stocks, reconstructed Wall Street’s actual active institutional position allocation based on 13F filings, reveals a highly divided picture: the current tech sector is far from united, but instead shows extreme structural imbalance.

The report shows that the AI storage and semiconductor equipment chain represented by SanDisk has become the most crowded direction for all institutional holdings, with SanDisk’s overweight position reaching +2.16%, a further 57 basis point increase QoQ, hitting new phase highs. Meanwhile, recognized AI leaders such as Nvidia, Apple, and Microsoft were all significantly underweighted by institutions, with deviations of -2.39% to -1.24%, forming a clear “reverse crowding.”

This structural divergence has direct and far-reaching market impacts. Extreme crowding in the AI hardware chain means the buying space is running out; with chips highly concentrated, any expectation shock could trigger a sharp pullback. On the other hand, tech leaders and software sectors, which are systematically underweighted, have ample potential buyers; any fundamental catalyst could power a clear move higher as positions are refilled.

Overall Landscape: Systematic Underweight in Giants, Intensely Imbalanced Structure

This Morgan Stanley report tracked 28 US large-cap tech leaders, covering the entire industry chain of semiconductors, software, internet, hardware, and devices, using the deviation of active institutional holdings relative to their S&P 500 weighting as the core metric of “crowdedness.”

The data presents clear polarization. In Q1 2026, the "Magnificent Seven" with super-large market caps—Nvidia, Apple, Microsoft, Amazon, Google, Meta, Tesla—were underweighted by an average of -125 basis points by institutions, a 12 basis point narrowing from Q4 2025’s -137, but still firmly underweight. The other 21 large-cap tech stocks saw institutions overweight by 32 basis points, flat QoQ.

This comparison reveals the core contradiction of current tech holdings: trillion-dollar giants are systemically underweighted, while small- and mid-cap techs are heavily overweighted. Capital is highly focused on a few segments, not spread evenly. The report also notes that active position deviation is statistically significant to future price performance—when institutions reach extreme overweight, prices become highly sensitive to bad news; for underweighted assets, abundant potential buyers make technical rallies more likely.

Most Crowded Trade: AI Storage & Equipment Chain Bought to Historic Extremes

Among all tracked stocks, SanDisk tops the list with a +2.16% overweight, making it the most crowded stock held by institutions—more than twice that of second place Seagate (+0.84%). SanDisk’s overweight further increased by 57 basis points this quarter, as capital inflows accelerated.

SanDisk’s crowding is no accident. Since relisting in Q1 2025 and entry into the S&P 500 in Q4 2025, it has become Wall Street’s core AI storage play. Institutions widely believe the explosive growth of AI data centers will keep driving demand for NAND Flash and enterprise SSDs; the industry upturn is set, leading to concentrated, nearly indisputable group holdings.

Following SanDisk, Seagate, Western Digital, and Micron are all significantly overweighted; leading semiconductor equipment firms KLA, Lam Research, and Applied Materials are also heavily held by institutions. Together, these make up the core of the currently crowded “AI compute infrastructure” trade—the “shovel sellers.”

Structurally, this sector shows three typical signals of crowding: near total consensus among institutions; most funds in the tech sector poured into this specific sub-sector; and a self-reinforcing “buy-the-winner” dynamic driving further group action.

Reverse Crowding: AI Leaders & Software Sector See Mass Exodus

In mirror image to extreme crowding in AI hardware, some assets are systematically underweighted by institutions, forming “reverse crowding.”

Nvidia, at -2.39%, is the most underweighted large-cap tech. Despite ongoing robust AI demand and fast growth, institutional holdings are well below its S&P 500 weight, narrowing just 18 basis points QoQ and still near historical underweight extremes. Apple (-2.32%), Microsoft (-1.86%), Amazon (-1.24%), and Google are all deeply underweighted—“perceived overweight, real underweight”: discussed daily in markets, yet institutions continuously underweight them.

Software is likewise collectively abandoned. Leading names like IBM, Oracle, Adobe, ServiceNow, and Palo Alto Networks are typically held below their S&P 500 weights. The logic: AI’s commercial impact on software is unclear, earnings realization is slow and uncertain, so money flows out toward the more “certain” hardware parts.

Thus, today's tech sector "crowding map" is clear: most crowded in AI storage and semiconductor equipment (SanDisk, Seagate, KLA, Lam Research); deeply underweighted in AI compute leaders, consumer tech giants, and general software (Nvidia, Apple, Microsoft, IBM, etc.).

Drivers of Crowding: Threefold Logic Behind Capital Influx

The shift from Nvidia, Microsoft, Apple, and other leaders to group positions in storage and equipment comes from three closely aligned Wall Street rationales.

First, the pursuit of absolute earnings certainty. With macro uncertainty and rising rate volatility, institutions are only paying up for “most certain” segments. AI infrastructure capex is the tech industry’s most reliable capital expenditure. Storage and semi equipment, as essential components, have visible orders, measurable demand, and deliverable earnings—much more certainty than software AI transformation or consumer electronics innovation.

Second, the classic “shovel seller” logic. No matter which cloud provider or app company wins, they all must buy chips, storage, and equipment. This “no allegiance, all benefit” model is institutionally popular, driving money upstream into hardware.

Third, giants’ high valuations and market caps force the hunt for more flexible substitutes. Microsoft, Apple, and Google are too big and valued too high for large new positions; storage and equipment names offer more moderate market caps and greater upside elasticity. Plus, fundamentals like NAND price rebound and booming HBM demand make them the priority target for capital overflow, reinforcing herd behavior.

Risks & Opportunities: Crowd Endgame Signals Emerging, Underweighted Leaders Hold Rebound Room

Crowding in the AI hardware chain now presents classic high-risk signs. SanDisk, Seagate, and others have hit historic overweight highs; with most institutions already positioned, incremental room for new buying has all but disappeared. Here, further price rises depend on major earnings beats. If results merely meet expectations, sharp pullbacks may follow. At the same time, with positions highly concentrated, any bad news—AI capex delays, NAND price swings, new supply, or policy shifts—could trigger synchronized capital exodus and rapid price drops.

In contrast, the extremely underweighted leaders may hide clear opportunities. Morgan Stanley’s statistical patterns show S&P 500 underweights are more likely to experience technical rallies later. Nvidia, Apple, Microsoft, and Google are now in a “perceived overweight, real underweight” disconnect; if a fundamental catalyst appears, and capital rebalances, position replenishment can drive sustained upside. The software sector likewise may rally as AI functions are realized and earnings improve, prompting institutions to move from underweight to neutral or overweight, driving valuation recovery.

For investors, the main takeaway is: AI hardware may still have short-term momentum, but risk/reward is now unfavorable—chasing highs blindly is ill-advised. The extreme underweights among tech leaders and software offer more promising rebound room; and a structural rebalance from “hardware crowding, leader underweighting” could become the next big theme.

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The above highlights are from Wind Chasing Trading Desk.

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Risk Disclosure and DisclaimerThe market has risks; investment must be cautious. This article does not constitute personal investment advice, nor does it take into account specific users’ particular investment goals, financial situations, or needs. Users should consider whether any opinions, viewpoints, or conclusions in this article fit their personal circumstances. Acting on this article is at your own risk. ```