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Morgan Stanley Sees Buying Opportunity in Memory Stocks as AI-Driven Shortages Intensify

A recent selloff in U.S. memory stocks has created a compelling buying opportunity, according to a Morgan Stanley research note, which argues that data center shortages are intensifying even as mixed signals emerge elsewhere in the market.
In the note published Monday, analyst Joseph Moore told investors that the current memory cycle is "unusual," asserting that "data center strength is the only cause" behind it. He argued that this unique dynamic means weakness in other market segments "may be a false flag" for investors focused on the core demand driver.
AI Demand Creates Bottleneck
Morgan Stanley's analysis highlights that memory is "increasingly THE bottleneck" for the build-out of artificial intelligence systems and advanced CPU infrastructure. The firm contends that recent investor concerns—including slowing price growth, higher capital expenditures, and component "de-speccing"—were predictable and do not alter the fundamental outlook.
While the bank still identifies Nvidia and Broadcom as offering the best risk-reward in its coverage, Moore stated that memory is "catching up fast." This perspective is based on the critical role memory plays in enabling large-scale AI computations.
AdPricing and Supply Dynamics
The firm's research points to persistent and worsening supply constraints, directly impacting prices and availability for data center customers.
- Data center memory prices have climbed more than 25% quarter-over-quarter in the third quarter, according to the note.
- Recent conversations with data center purchasing contacts confirmed that the "shortage intensity shows no signs of abating."
- Morgan Stanley added that long-term concerns about shortages worsening in 2027 and 2028 "are still as strong as ever."
Although the Q3 price increase represents a deceleration from the second quarter, the bank called this an "obvious" development. It suggested that long-term agreements and de-speccing could flatten the cycle's amplitude while increasing its duration, a scenario described as "likely better for stocks in the long run."
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