Morgan Stanley backs Lam Research

Morgan Stanley’s call on Lam Research matters because it is not just a one-stock upgrade. The bank moved Lam Research to Overweight from Equal-Weight on May 18 and lifted its price target to $331 from $293, according to reports from Yahoo Finance Singapore, TheStreet and other market outlets. The note centered on semiconductor equipment demand tied to the AI build-out, but the more specific driver was memory spending. Morgan Stanley said it now expects 59% growth in NAND systems in 2027, a forecast that underpins a higher revenue and earnings view for Lam. That makes the story bigger than a routine ratings change. Lam Research sells the tools chipmakers use to deposit, etch and process wafers, so a bullish call on Lam is effectively a view on future fab spending, especially in memory. (sg.finance.yahoo.com) The bank paired the Lam upgrade with a downgrade of Applied Materials to Equal-Weight, making this a relative bet inside chip equipment rather than a blanket sector endorsement. ### Why did Morgan Stanley pick Lam specifically? Morgan Stanley’s published rationale, as described by Yahoo Finance Singapore and TheStreet, was that Lam’s prospects for 2027 share gains now look stronger than Applied Materials’ near-term edge in 2026. The bank said it lifted the valuation premium it assigns to Lam over Applied Materials to 20%, above a three-year average of 16%. (thestreet.com) The underlying thesis is about NAND recovery and equipment intensity. Morgan Stanley said it now models Lam’s 2027 revenue at $35.4 billion and earnings per share at $9.71, up from prior estimates of $34.6 billion and $9.46. ### What does this say about the AI supply chain? Lam sits upstream from the chip designers that usually get the headlines. A stronger view on Lam suggests Morgan Stanley sees the AI spending cycle reaching deeper into the manufacturing chain, where wafer-fab-equipment orders depend on confidence that chipmakers will keep adding capacity. (sg.finance.yahoo.com) That matters for infrastructure buyers as well as investors. (sg.finance.yahoo.com) If the AI build-out keeps pulling on semiconductor capacity, lead times and component availability can stay tight across servers, storage and networking hardware. That is an inference from the analyst upgrade and broader chip-equipment dynamics, not a direct statement from Morgan Stanley’s note. ### Why does the price target matter more than the rating label? The $331 target gives the market a concrete marker for how much upside Morgan Stanley sees from the stock’s trading level at the time of the call. Several reports said Lam was trading around $284.72 when the note was published, implying roughly mid-teens upside. (sg.finance.yahoo.com) The target also signals conviction because Morgan Stanley had been more cautious on Lam earlier this year. Benzinga’s analyst-tracker page shows the firm had maintained an Equal-Weight rating in prior updates before the May 18 upgrade. ### What should readers watch next? The next test is whether Lam’s own results and industry data support Morgan Stanley’s 2027 NAND spending view. Investors will be looking for confirmation in Lam Research earnings commentary, wafer-fab-equipment forecasts and any follow-on rating changes from other banks covering the sector. (investing.com) If that confirmation comes, the May 18 note may be remembered less as a one-day stock call than as an early sign that Wall Street was rotating toward the equipment makers most exposed to the next leg of memory spending. (benzinga.com) That is an inference based on the upgrade, target change and relative call against Applied Materials. (thestreet.com) (sg.finance.yahoo.com)