AI Semiconductor Interconnection Bottleneck

Conviction: 72% · Horizon: 5Y · 2026-04-22
AI infrastructure value shifts from raw compute toward memory bandwidth, packaging, optics, interconnect, and power efficiency.

Scaling AI clusters increasingly depends on moving data between chips, memory, accelerators, racks, and data centers. Suppliers exposed to high-bandwidth networking, custom silicon, optical connectivity, advanced packaging, and power management should benefit as system bottlenecks migrate from isolated chips to full-stack interconnection.

Instrument Side Target Reason
AVGO Long We believe Broadcom is well positioned as AI infrastructure spending expands beyond accelerators into custom silicon, high-speed networking, and data-center connectivity, where scale, switching expertise, and hyperscaler relationships can support durable revenue growth.

Themes

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