CPU demand rebounds in AI data centers as TSMC stands to benefit across architectures

The rebound in CPU demand within AI data centers signals a shift from GPU-centric to heterogeneous computing architectures. This evolution directly boosts TSMC’s (Taiwan, China) utilization across its sub-3nm nodes, as clients integrate high-performance CPUs alongside dedicated accelerators. Technically, this accelerates adoption of CoWoS packaging, straining advanced substrate supply chains. On compliance, U.S. export controls are inflating non-TSMC manufacturing costs by over 15%, as customers scramble for geographically diversified foundry options. Competitively, Samsung and Intel may fast-track 2nm pilot lines, but yield issues will likely delay meaningful market share gains until late 2027. Over the next 18 months, diverging AI training vs. inference workloads will spur custom CPU IP ecosystems—TSMC’s open IP alliances and flexible capacity position it to capture over 60% of AI-related logic wafer foundry revenue.