Industry Analysis
The AI infrastructure boom is redrawing semiconductor value chains: NVIDIA’s Grace Blackwell and Vera Rubin architectures not only cement its dominance in AI training but also dictate memory-compute co-design standards via NVLink and CXL, forcing DRAM interface evolution. Micron, despite short-term HBM3E shortages, trades at a precarious 48x P/E, ignoring the sector’s cyclical nature. Samsung and SK Hynix, with more advanced 1β/1γ-node capacity, are aggressively capturing market share. Geopolitically, escalating U.S. export controls heighten Micron’s revenue exposure in mainland China, while NVIDIA leverages resilient foundry partnerships in Taiwan, China. Over the next 12–24 months, AI capex will shift toward inference, spiking demand for heterogeneous GPU integration—while DRAM prices likely peak in 2028 before a sharp correction. Wall Street’s skepticism isn’t about Micron’s execution, but a bet that computational moats outlast memory cycles.
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