Industry Analysis
Jensen Huang’s latest move signals more than investor optimism—it reflects a strategic pivot from pure AI training chips toward inference and edge deployment, triggering cascading demands across EDA, advanced packaging (e.g., CoWoS), and HBM supply chains, heavily benefiting TSMC and ASE in Taiwan, China. Yet escalating U.S. export controls force NVIDIA to absorb rising compliance costs for China-specific SKUs like A800/H800, while geopolitical friction inflates global supply chain redundancy. With AMD scaling MI300X output and Intel pushing Gaudi 3 at aggressive pricing, NVIDIA’s CUDA moat remains its key defense. Over the next 18 months, the AI chip race will shift from raw performance to full-stack efficiency; without breakthroughs in power efficiency or customizable solutions, NVIDIA’s dominance could face tangible erosion by early 2027.
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