AI computing growth triggers shortages in tantalum capacitors and MLCCs

The rapid expansion of AI computing power is creating critical supply chain bottlenecks for essential electronic components, specifically tantalum capacitors and Multi-Layer Ceramic Capacitors (MLCC).

In the tantalum capacitor market, AI servers require significantly higher volumes—increasing from dozens to thousands of units per machine—to manage microsecond-level power stability. Supply is constrained by raw material shortages, as a major mine collapse in the Democratic Republic of the Congo recently removed approximately 15% of global tantalum supply. Furthermore, high-end production capacity is largely controlled by overseas giants, leading to extended lead times of 40 to 52 weeks and rising prices.

Simultaneously, the MLCC market is experiencing extreme price volatility driven by AI demand. While consumer-grade MLCC prices have fluctuated, high-capacity models used in AI servers and high-speed optical modules have seen massive surges. Major international manufacturers like Murata and Samsung Electro-Mechanics have implemented price hikes, prompting a shift toward domestic Chinese suppliers. This structural imbalance is forcing downstream companies to extend procurement cycles from two months to as many as six months to secure capacity.