AI infrastructure capex supercycle

Conviction: 79% · Horizon: 2Y · 2026-04-30
Sustained hyperscaler AI spending should drive a multi-year bottleneck in networking, optics, and validation infrastructure

AI demand is exceeding available capacity, pushing the largest cloud platforms to accelerate spending on data centers, power, servers, networking, and interconnect. As inference workloads become always-on and global, bandwidth density, optical transport, fiber, and validation tools should capture a growing share of the buildout.

Instrument Side Target Reason
GLW Long We believe AI capacity expansion increases demand for dense fiber, optical connectivity, and data center materials well before cloud revenue fully matures, which should support suppliers with direct exposure to physical network buildouts.
VIAV Long We believe faster and denser AI networks raise the value of test, certification, and monitoring tools because hyperscaler capex only creates returns once links, modules, and systems are deployed reliably at scale.

Themes

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