Industry Analysis
NVIDIA’s drop below $200 isn’t just sentiment—it signals a maturing AI infrastructure cycle. Technically, its 3nm GPUs rely heavily on TSMC’s EUV capacity in Taiwan, China; any capex pullback could delay the entire AI chip stack’s evolution. Regulatory risks are mounting: U.S. export controls inflate supply chain premiums and push hyperscalers toward AMD or in-house alternatives. Broadcom is gaining ground with custom AI ASICs, while Microsoft’s Maia chips accelerate vertical integration—competition has shifted from raw GPU performance to full-stack efficiency. Over the next 12–24 months, even if NVIDIA retains dominance in training workloads, fragmented inference demand and geopolitical decoupling will erode its pricing power. This correction marks not collapse, but the transition from uniform growth to structural divergence.
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