Industry Analysis
Jensen Huang’s call for 'new social norms' is a preemptive maneuver against tightening global AI regulation. Technically, the shift toward multimodal and embodied AI will accelerate demand for domain-specific NPUs and in-memory computing, straining TSMC’s CoWoS packaging capacity—a critical choke point. Compliance-wise, the EU AI Act and U.S. export controls are inflating ethical auditing costs; NVIDIA must embed explainable AI into its stack to retain public-sector contracts. Competitively, AMD’s MI300X is gaining data center traction, while Huawei’s Ascend chips—bolstered by China’s localization mandates—are building alternative supply chains, though CUDA’s ecosystem dominance remains intact short-term. Over the next 18 months, AI chip demand will pivot from training to edge inference, making low-power, application-specific designs the new battleground. Failure to scale Grace-Hopper into industrial and medical deployments could trigger structural share erosion.
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