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Dell, Micron, SanDisk tumble as AI hardware rally hits reversal

DELL
META
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Dell, Micron, SanDisk tumble as AI hardware rally hits reversal

AI-linked hardware/chip stocks sold off as investors took profits after a months-long rally and questioned whether AI infrastructure demand can justify elevated valuations. Dell (DELL) fell as much as 12% to $397.69 after a report that Meta is developing plans to lease surplus AI training/inference capacity to enterprise customers. The development adds uncertainty around near-term demand and competitive dynamics, pressuring sentiment across the AI hardware complex.

Analysis

This looks less like a sudden deterioration in AI demand than a positioning unwind into a crowded factor trade. The market is starting to price a shift from “scarcity of compute” to “utilization risk,” which matters most for names whose valuation assumes every incremental rack or server ships into a permanently tight market. That is a tougher setup for OEMs and server-heavy beneficiaries than for the hyperscalers, because the former have the most direct exposure to order timing and multiple compression when investors question backlog durability.

The Meta angle is more interesting than the selloff itself: if a hyperscaler is even testing external monetization of excess compute, it implies a possible second-order change in the AI stack from capex-led growth to asset-yield optimization. That would be positive for META if it can turn depreciation into third-party revenue, but it is a warning sign for DELL, SMCI, and the broader AI hardware basket because it suggests future builds may be paced by utilization discipline rather than headline demand. In the near term, this is a technical event; over 1-3 months, the catalyst is whether other hyperscalers echo similar comments on earnings.

The contrarian read is that the selloff may be overdone versus fundamentals: one report about leasing plans is not the same as a meaningful change in aggregate AI spending, and enterprises still lack scalable in-house compute. What would falsify the bearish hardware thesis is continued upward revision to hyperscaler capex, sustained AI server backlog growth, or evidence that enterprise demand absorbs every available dollar of rented capacity at attractive margins. If those signals do not appear, the market is likely to keep shaving multiples off the most crowded AI hardware winners over the next 6-18 months.