Lam Research

After HBM and DRAM, Lam Research sees a new AI-driven growth driver emerging: NAND memory risks becoming scarce. AI datacenters are increasing demand for enterprise SSDs for training data, vector databases and KV cache during inference, and autonomous AI agents are likely to further raise storage needs. Manufacturers like SK Hynix are launching large investments in new DRAM and NAND fabs, which benefits demand for production equipment. » More on finanzen.net

Lam Research shares slide 7.1% in premarket trading to $277, triggered by a broad sell-off in the semiconductor equipment sector without a company-specific catalyst. Weighing on the stock are high revenue concentration in China (about one third), potential tightening of U.S. export controls, and advances by state-supported Chinese manufacturers on their own equipment. A report on insider activity added uncertainty; general weakness on the Nasdaq and pressure on peers like Applied Materials and Micron amplified the move. » More on de.investing.com

Lam Research reports industry demand is "fundamentally sold out" and expects 8–10 new clean rooms at tier-one customers by end of next year, prompting expanded hiring, installation teams and supplier planning. The company is deploying AI trained on 30+ years of troubleshooting data to boost field-engineer productivity and to enable advanced service offerings, with about two-thirds of engineers already using the tools. Lam sees DRAM, leading-edge foundry/logic and NAND spending supporting growth, recorded strong customer-support revenue, and targets lifting gross margins from ~51–52% toward the mid-50% range over several years. » More on finance.yahoo.com