Industry Analysis
Jun's call for humility is a candid admission of Samsung's HBM3E yield deficit, not corporate modesty. With SK Hynix commanding over 60% of NVIDIA's GB200 HBM allocation and Samsung's 12-layer stacking yield still trailing the industry curve, the DRAM division's pricing leverage in the AI compute stack is being structurally eroded. The technical inflection arrives with HBM4: competition shifts from layer count to advanced packaging integration, and Samsung's lag in CoWoS-class capacity versus TSMC and ASE creates a 12-to-18-month window where customer lock-in becomes irreversible if not closed. On compliance, tightening US export controls on advanced packaging equipment toward China raise the regulatory cost of Samsung's capital deployment, especially given its heavy concentration in a single AI hyperscaler. Strategically, SK Hynix will almost certainly accelerate HBM4 R&D spend to widen its first-mover gap, while Micron targets HBM3E volume production by Q1 2026 to secure a second-source position. Over the next two quarters, the memory sector's profit narrative will yield to hard metrics of yield and delivery reliability. Jun's real threat is not a cyclical downturnโit is the customer simply forgetting Samsung when the next platform cycle begins.
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