Cloud AI squeezes 2nm capacity, pressuring mobile SoCs - digitimes

The rapid advancement of cloud AI technology is driving mobile system-on-chip vendors to accelerate their flagship products toward 2nm process nodes, with full implementation expected by 2026. This tr... Read original →

Cloud AI's aggressive pull on 2nm capacity is forcing mobile SoC vendors to bypass the constrained 3nm node entirely—a strategic supply-chain hedge, not just a tech upgrade. Technically, this accelerates adoption of complex EUV layers and co-optimizes chiplet packaging, strengthening TSMC’s CoWoS ecosystem. Geopolitically, overreliance on Taiwan, China-based foundries heightens disruption risks, compelling clients to explore costly redundancy in the U.S., Japan, or Europe. In market dynamics, MediaTek and Qualcomm will likely lock in early 2nm allocations, while Samsung’s weak 3nm yields marginalize its position further. Over the next 18 months, 2nm capacity allocation will become de facto AI-era leverage: cloud giants like NVIDIA secure priority access, squeezing consumer chipmakers and institutionalizing an 'AI-first' manufacturing paradigm.