Supply Chain Bottlenecks

TSMC's CoWoS packaging remains the critical bottleneck for high-end AI accelerators. Despite significant capacity expansion through 2024, the shift to next-generation architectures like NVIDIA's Blackwell (utilizing CoWoS-L) and AMD's Instinct MI325X maintains a supply-demand gap. Availability is governed by packaging throughput rather than front-end wafer fabrication.

HBM supply concentrated among SK Hynix, Samsung, and Micron. Bottleneck driven by low yields on 12-layer HBM3E and TSMC CoWoS packaging capacity limits. Demand from NVIDIA Blackwell and AMD MI325X continues to outpace expansions into 2025.

Leading-edge manufacturing capacity (3nm and the upcoming 2nm) remains highly concentrated. TSMC holds over 90% of the advanced foundry market share. The bottleneck is exacerbated by the simultaneous demand for AI accelerators and mobile SoCs, while 2nm capacity is already being pre-booked for 2025-2026 production.

AI training and inference clusters require massive power capacity. New data centers face 2-4 year lead times for grid connections. Power availability has become the primary constraint on AI compute deployment, particularly for hyperscalers.

US export controls and prioritization policies restrict high-end AI GPU shipments. Affects NVIDIA, AMD, and downstream AI infrastructure globally. China restrictions and retaliatory import bans compound supply uncertainty.