In 2026, AI stands as the clearest growth driver for the semiconductor and broader electronics industry. TrendForce expects AI server shipments to rise roughly 28% year-on-year, and IDC puts the annual total above 2 million units.
What does this mean for component demand? From cloud data centers to edge devices, AI infrastructure deployment is rapidly absorbing a wide range of components. Yet, while demand surges, structural constraints on the supply side are becoming visible. Several component families now show extended lead times and, in some cases, emerging shortages.
1.Take power management chips (PMICs).
AI servers consume far more electricity than conventional hardware, which directly boosts PMIC demand. According to TrendForce, suppliers are giving priority to AI-related PMICs on their 8-inch wafer lines. To make matters tighter, Samsung plans to shut down its S7 8-inch wafer fab in South Korea, further shrinking the capacity available for general-purpose PMICs. Consequently, lead times for such devices have stretched from 21-26 weeks to 35-40 weeks. For context, Infineon, Texas Instruments, and ON Semiconductor are already reporting power-device lead times beyond 35 weeks. TI has also notified customers of a 5-15% price increase for certain power management and power devices, effective July 2026.
Major MLCC manufacturers—Murata, Samsung Electro-Mechanics, and Taiyo Yuden—are running close to full capacity. Murata’s high-end lines are operating at 90-95% utilisation, a level that leaves little room for unexpected orders. Lead times have climbed from the usual four weeks to around 20 weeks, with price increases of 15-35% already implemented. Meanwhile, for some PCB and CPU models, lead times have stretched to nearly a year.
3.Other Component Categories
Other components tell a similar story. BMC chips, which rely on mature process nodes, are seeing lead times extend from 11-16 weeks to 21-26 weeks. The main reason? Foundries are prioritising higher-margin AI-specific chips. In addition, driver ICs now require at least ten weeks to arrive, and FPGA lead times have ballooned from 8-10 weeks to as much as 52 weeks.
These trends are not isolated. The latest ECIA (Electronic Components Industry Association) survey shows that the share of respondents reporting longer lead times jumped from 34% in February to 61%, with the semiconductor segment reaching a striking 78%. The proportion of those seeing shorter lead times has fallen to near zero.
So, how should procurement teams respond in such a persistently tight market? Several practical measures stand out.
First, build longer lead times into planning. When certain components already take months to arrive, it makes sense to align procurement cycles with production schedules and BOM planning well in advance.
Second, diversify supplier sources. Relying solely on authorised distributors is risky. Including independent distributors and spot market channels creates a more resilient supply mix.
Third, actively look for alternatives. If an original component is out of stock or has an excessive lead time, evaluating functionally equivalent alternatives—and sourcing them through trusted channels—can keep production running.
Fourth, consider the role of independent distributors. When authorised channels are constrained, independent distributors with global sourcing networks and on-hand inventory can act as a valuable backup. WIN SOURCE, for example, works with more than 3,000 suppliers worldwide and stocks a broad range of AI-server-critical components—including ICs, memory, and CPUs. Some core parts are available for same-day shipment. Through its WinLink Solution Hub and NEXUS™ supply chain suite (which includes AI-driven procurement engines, BOM optimisation, and alternative part recommendations), the company helps customers improve purchasing efficiency and reduce supply risks. Quality assurance is also part of the offering: WIN SOURCE operates a testing and verification process that aligns with ISO 17025, IDEA-STD-1010, and ISO 9001 standards, giving procurement teams added confidence in component authenticity and reliability.
To sum up, demand for AI computing power continues to rise. From MLCCs and PCBs to PMICs, storage, and connectivity devices, the AI-driven component market will keep expanding through 2026. For procurement professionals, recognising supply risks early, adjusting inventory strategies ahead of time, and building a diversified supplier base are no longer optional—they are essential to maintaining production continuity in today’s volatile environment.
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