Industry Analysis
Google’s AI cloud JV with Blackstone signals a strategic pivot: TPUs are evolving from internal accelerators into external infrastructure weapons. This accelerates the industry-wide shift from general-purpose GPUs to custom ASICs, pressuring TSMC to prioritize EUV capacity at 3nm and below—raising entry barriers across the AI hardware stack. NVIDIA’s 86% data center dominance now faces structural erosion as hyperscalers close the loop on in-house silicon, diluting CUDA’s moat. CoreWeave’s pricing power will buckle under Google’s $185B capex scale. Geopolitically, while U.S. CHIPS Act subsidies boost domestic manufacturing, reliance on advanced packaging from Taiwan, China introduces supply chain fragility. Over the next 12–24 months, AWS Trainium, Microsoft Maia, and Google TPU v6 will catalyze a second wave of 'de-NVIDIAtion,' forcing a fundamental repricing of AI compute value.
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