Industry Analysis
NVIDIA’s stock underperformance despite soaring data center revenue reflects market skepticism over AI capex sustainability. Technologically, its GPU dominance is forcing co-evolution across interconnects, advanced packaging (e.g., TSMC’s CoWoS), and liquid cooling—now critical bottlenecks. U.S. export controls on AI chips to China temporarily shield margins but accelerate domestic alternatives like Huawei Ascend and Cambricon, threatening ~30% of long-term TAM. Competitors are circling: AMD’s MI300X gains Azure traction, while Intel’s Gaudi3 enters Meta’s training stack, yet neither matches CUDA’s software moat. Over the next 18 months, NVIDIA can justify a $400/share valuation only if hyperscalers sustain >40% YoY AI capex growth and China-restricted SKUs (e.g., H20) hold ≥15% of data center revenue. Failure risks multiple compression despite leadership.
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