
AI spending is broadening the memory upcycle beyond high-bandwidth memory, lifting prices for conventional DRAM, NAND flash and enterprise SSDs while reshaping earnings at SK Hynix and Samsung Electronics.
Seagate's fiscal fourth quarter was by almost every measure its strongest in over a decade — US$3.6 billion in revenue, US$1.1 billion in free cash flow, and gross margins pushing toward 53%. But for supply chain watchers, the more important story is what the results reveal about where demand is heading, who is driving it, and how the hardware ecosystem needs to prepare.
NXP Semiconductors' physical AI strategy extends beyond vehicles, factories and robots. The same control, connectivity and real-time processing capabilities are also giving the company a larger role in AI data center infrastructure, where it is targeting the systems that manage networking, cooling, security and power around increasingly complex accelerator platforms.
Corning expects AI infrastructure to become an increasingly powerful growth engine, outlining how its glass technologies will move beyond traditional optical fiber and into silicon photonics (SiPh) and co-packaged optics (CPO) for next-generation AI data centers.
On July 28, ASM International raised its revenue outlook for 2027 and issued third-quarter guidance above market expectations after reporting higher second-quarter revenue and profit, supported by continued investment in artificial intelligence infrastructure and advanced semiconductor manufacturing.
SK Hynix reported record second-quarter revenue, underscoring the firm's strong demand for AI-related memory despite supply constraints and shifting customer buying patterns. The South Korean chipmaker said it is expanding long-term agreements with major customers to lock in demand and support investment planning. The company also expects HBM and DRAM to remain key growth drivers into the second half of 2026.


