
What happened
Simply Wall St's infrastructure-focused AI screener named Arista Networks, Lumentum Holdings and Vertiv Holdings Co as AI infrastructure picks; Vertiv's Q4 2025 organic orders surged 252% year-over-year with a $15 billion backlog.
Why it matters
These companies supply the networking, optical and cooling gear that AI data centers depend on, and Vertiv's order surge signals demand for liquid cooling is running well ahead of trailing revenue.
What to watch
Each pick hinges on an assumption the article flags as unresolved — whether hyperscalers standardize on open Ethernet, whether training-cluster buildout peaks, or how hard AI data center build intensity shifts. Watch Vertiv's roughly 20-30% annual liquid cooling market growth.
WHO IT HITSInvestors weighing AI infrastructure exposure, and the data center operators and hyperscalers whose buildout plans drive demand for networking gear, optical components and liquid cooling systems, may find these three names relevant.
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The article frames the AI investment opportunity as shifting away from headline models toward the "picks and shovels" — the power, cooling and networking players that make those models possible. It opens with Samsung and its partners committing US$1 billion to an AI data center builder, which it says underscores where real money is flowing.
Each of the three companies occupies a distinct layer. Arista Networks wires high-bandwidth data center networks so GPU clusters can move data at scale, with all US$10.5b of recent revenue from computer networks and a market value of about US$260.5b. Lumentum supplies photonic components and optical modules, holding roughly US$3 billion in Integrated Enterprise revenue and a market value near US$84.5 billion. Vertiv builds power, cooling and modular infrastructure, with about US$7.5b from the Americas, US$2.7b from Asia Pacific, and US$2.4b from Europe, the Middle East and Africa, and a market value near US$97.5b.
The article identifies a specific open question for each company rather than a settled outcome. Arista's thesis depends on whether hyperscalers standardize on open Ethernet fast enough to justify its margin ambitions. Lumentum's growth could decelerate sharply if training-cluster buildout peaks before inference networking fills the gap. Vertiv's swing factor is what happens to margins and growth if AI data center build intensity shifts. For readers, the stakes appear to hinge on which of these assumptions holds — and each is framed as unresolved.
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