Industry Analysis
Nvidia’s outperformance stems from structural dominance in the AI infrastructure arms race. Its GPU versatility in both training and inference has cemented an ecosystem moat that specialized alternatives like Google’s TPUs can’t match. This is triggering a cascade: EUV lithography, advanced packaging, and HBM memory supply chains are all straining to keep pace—evident in TSMC’s CoWoS bottlenecks. While U.S. export controls boost near-term margins on high-end chips, they risk fragmenting the global market by accelerating China’s domestic AI silicon efforts. In response, Amazon and Google may aggressively diversify into RISC-V-based accelerators or open heterogeneous compute frameworks to reduce Nvidia dependency. Over the next 18 months, cloud capex will mask margin pressure, but if Nvidia fails to establish a credible edge-AI or hybrid quantum-classical foothold post-2027, its valuation could face a sharp correction as the infrastructure boom fades.
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