AI: Yet another AI Chip Bottleneck in Asia. AI-RTZ #1132 - AI: Reset to Zero

This article highlights a new critical bottleneck in the AI tech wave: chip packaging technology, particularly Chip on Wafer on Substrate (CoWoS). As AI applications evolve from basic search and execu... Read original →

The CoWoS capacity shortfall reveals a structural fragility in the AI chip ecosystem. Technologically, sub-3nm nodes and HBM memory stacking are critically dependent on advanced packaging—TSMC (Taiwan, China) monopolizes 95% of this capability, making the entire AI GPU supply chain vulnerable. On the compliance front, U.S. CHIPS Act incentives aim to rebuild domestic packaging capacity, but IBM and Intel lack TSMC’s yield maturity and scale, inflating design costs for customers. In market dynamics, NVIDIA is forced to re-architect chips around packaging constraints, while AMD and Intel accelerate investments in silicon interposer alternatives. Over the next 12–24 months, packaging—not wafer fabrication—will become the tighter bottleneck, catalyzing strategic moves by second-tier OSATs like Samsung and ASE in 2.5D/3D integration and compelling AI chip designers to prioritize 'packagability' over raw performance.