TSMC Capacity Bottleneck Hits AI Chip Supply - Broadcom Weighs in

TSMC's production capacity has emerged as a critical bottleneck for the AI chip supply chain in 2026, with AVGO director Natarajan Ramachandran describing it as "effectively constraining and choking the supply chain". The constraints center on TSMC's advanced 3nm node, used for Broadcom's custom ASIC designs including Google TPU chips, as well as CoWoS (Chip on Wafer on Substrate) advanced packaging capacity that is essential for high-performance AI processors.

Broadcom CEO Hock Tan disclosed that the company has already secured capacity for leading-edge wafers, high-bandwidth memory, and substrates through 2026-2028, with customers now entering three- to four-year long-term agreements to lock in supply. TSMC has guided capital expenditure of $52-56 billion for FY2026, much of it targeting CoWoS expansion, but demand continues to outstrip available capacity. Additional chokepoints have emerged in laser components and printed circuit boards, compounding the supply squeeze.

The bottleneck has significant implications for AI infrastructure buildout timelines. Companies that have not secured long-term supply agreements may face delays in deploying next-generation AI systems, potentially slowing the pace of enterprise AI adoption. For investors, the capacity constraints underscore the strategic value of companies with locked-in TSMC allocations, while raising questions about whether chip demand projections can be fully met in the near term.