How ASML and TSMC Will Impact Global AI Chips Market and AI Supply Chain in 2026
ASML’s High-NA EUV ramp and new export curbs, combined with TSMC’s advanced packaging expansions, are set to reshape AI chip costs and availability in 2026. Analysts say CoWoS scale-up and 2nm readiness could ease GPU bottlenecks for NVIDIA and AMD while regulatory shifts recalibrate China exposure.
Executive Summary
- ASML's High-NA EUV deliveries and updated export controls in late December 2025 set the tone for 2026 lithography availability and China exposure, according to Reuters and company statements.
- TSMC is expanding CoWoS and SoIC capacity into 2026 to support surging AI accelerator demand from NVIDIA and AMD, TrendForce reports.
- Analysts estimate AI accelerator spending will expand in 2026, with supply chain lead times improving as advanced packaging scales and 2nm platforms mature.
- Regulatory actions in the Netherlands and the US are reshaping equipment flows, prompting geographic diversification across Taiwan, Japan, and the US.
ASML’s High-NA EUV Ramp and Export Control Update
ASML signaled in late December 2025 that tighter export restrictions impacting certain deep-ultraviolet (DUV) tools bound for China will take effect from January 2026, with the company stressing the impact is limited to specific models and licenses, as noted by Reuters and the Dutch government’s announcements (Reuters report on ASML export curbs; Netherlands government news). The update arrives as ASML’s High-NA EUV program transitions from first installs to broader 2026 deliveries, underpinning 2nm-class and beyond roadmaps at foundries and IDMs (ASML High-NA EUV overview).
Bloomberg and industry sources indicate orders for High-NA EUV systems have solidified for 2026 shipments, with ASML positioned to enable critical resolution and productivity gains for next-gen logic and AI-optimized designs (Bloomberg semiconductor coverage). Research posted in December 2025 on arXiv highlights resist and stochastic improvements designed for 0.55 NA EUV, reinforcing readiness for patterning at 2nm-class nodes (arXiv December 2025 lithography studies). These lithography milestones are foundational to cost-per-transistor reductions and energy-efficient AI compute, especially as AI accelerators chase higher memory bandwidth and more densely integrated chiplets.
TSMC’s Advanced Packaging Scale-Up for AI Accelerators
TSMC is expanding its CoWoS and SoIC advanced packaging capacity heading into 2026 to relieve bottlenecks for AI GPUs and accelerators, with TrendForce estimating substantial monthly capacity increases and improved lead times (TrendForce December 2025 packaging analysis). This expansion targets demand from NVIDIA...