AI supply chain pressures MLCC suppliers - Sourceability

As artificial intelligence (AI) demand surges, the semiconductor supply chain is facing unprecedented pressure. While earlier shortages primarily affected advanced processors and memory, supporting te... Read original →

The AI compute arms race is shifting supply chain strain from logic chips to advanced packaging and passive components. While TSMC’s CoWoS capacity ramp eases 2.5D bottlenecks, MLCC lead times exceeding 20 weeks reveal a hidden chokepoint: high-end MLCCs are critical for low-noise power delivery in 3nm/EUV systems, yet Japan- and Korea-dominated materials ecosystems can’t scale quickly. Geopolitical compliance—especially U.S. and EU localization mandates—has inflated inventory costs, as local MLCC qualification takes over 12 months. Samsung and Intel will exploit the CoPoS development window to push integrated HBM-packaging solutions, but won’t breach TSMC’s ecosystem before 2027. Over the next 18 months, MLCCs and advanced packaging will jointly drive a ‘dual-bottleneck’ tail risk, structurally inflating AI server BOM costs and accelerating long-term capacity-lock agreements between Taiwan, China and Japanese suppliers.