Industry Analysis
SK Hynix’s HBM capacity slowdown reflects profit-driven reallocation to tight-margin conventional DRAM—not weakening AI demand—but it reveals fragility in the AI memory supply chain. Technically, HBM4 ramp delays could hinder NVIDIA’s next-gen GPU platforms and FP64-intensive systems like Vera Rubin; equipment vendors KLA and Nova face near-term order visibility pressure. On compliance, tightening global semiconductor subsidies force firms to balance fab investments across the U.S., EU, and Asia, raising operational costs. Samsung and Micron will aggressively seize HBM share, with Samsung accelerating TSV and hybrid bonding R&D. Over the next 12–24 months, a structural divergence will intensify: AI hardware infrastructure attracts capital, while pure-play software/platform firms underperform. Only players mastering advanced packaging and yield control will dominate the HBM3E-to-HBM4 transition.
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