Industry Analysis
TSMC’s (Taiwan, China) leadership in 3nm/2nm processes is forcing a fundamental shift in AI chip design: clients like NVIDIA must tightly integrate architectures with advanced packaging to offset slowing Moore’s Law gains. This dependency raises the entire AI hardware stack’s entry barrier—making it nearly impossible for SMIC and others to catch up on yield or cost, even with EUV access. Geopolitically, while U.S. CHIPS Act subsidies ease capex burdens, mandatory client data disclosures undermine TSMC’s commercial neutrality, potentially inflating compliance costs by over 10%. In response, Samsung may abandon logic foundry to focus on memory integration, while Intel leverages state aid to sustain uncompetitive domestic capacity. Over the next 18 months, TSMC’s surging AI revenue will mask looming oversupply in mature nodes; any bottleneck in HBM4 or CoWoS packaging could trigger a structural correction in its 45% net margin.
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