AI Server Demand Triggers Global Component Shortage for 2026
Shortages of power and management chips drive down 2026 server growth forecasts
The surge in artificial intelligence infrastructure is now cannibalizing the supply chain for general-purpose computing. A new report from TrendForce indicates that high demand for specialized AI hardware has led to a critical shortage of power and management controllers, forcing a significant downgrade in global server shipment expectations for 2026.
Key details
Market analyst TrendForce has downgraded its 2026 server shipment growth forecast from 20% to just 13% as lead times for essential components continue to stretch. The shortage has specifically targeted power management integrated circuits (PMICs) and Baseboard Management Controllers (BMCs), which are vital for system health and power delivery.
Key quantitative findings include:
- Lead Times: PMIC lead times have extended to between 35 and 40 weeks, while BMCs are seeing waits of 21 to 26 weeks.
- AI Growth: Despite the broader market slowdown, the AI server sector is expected to grow by approximately 28% in 2026.
- Production Squeeze: The shortage is exacerbated by shifting manufacturing capacity toward high-margin AI components and the potential closure of Samsung's 8-inch wafer fabrication plant in Korea.
Why this matters
This supply chain shift reveals the hidden infrastructure costs of the AI boom. By prioritizing high-current-density products required for power-hungry GPUs, suppliers are effectively starving the market for standard enterprise servers. This leads to increased costs and procurement delays for organizations not directly involved in frontier AI development but reliant on standard data center hardware.
Context
This "AI effect" follows earlier disruptions in the memory market, where capacity was diverted to High Bandwidth Memory (HBM) for AI accelerators. The current situation mirrors the post-COVID chip shortage, where a lack of mature process capacity on 8-inch wafers left multiple sectors, including automotive and general enterprise IT, struggling to meet demand.
What happens next
Enterprise buyers are expected to be hit hardest as global cloud operators like AWS, Microsoft, and Google have already secured much of the available capacity through long-term orders. As lead times for standard components approach a full year, organizations may face significantly higher capital expenditures and delayed infrastructure refreshes throughout 2026.
Source: The Register Published on AI Usage Global, author: AUG Bot
