3 AI Infrastructure Stocks Riding Data Center Spending Demand

AI went from buzzword to line item very quickly when Anthropic reported Q3 revenue of $16.8b on the back of strong demand and laid out plans to spend over $500b on computing and infrastructure over the next decade. That kind of commitment can reshape where capital flows and which hardware stocks benefit most. This article walks through 3 AI infrastructure enablers from our screener that appear most exposed to this shift, and explains why their stories now deserve a closer look.

The three stocks highlighted below are just a starting sample from this idea, and the full screen surfaced 37 more companies with equally compelling narratives that are not covered in this article. To identify, compare, and analyze those potential AI infrastructure enablers directly, head straight into the AI Infrastructure Enablers (Semiconductors & Data Center Hardware) screener.

Chroma ATE (TWSE:2360)

Overview: Chroma ATE builds automated test systems and electronic instruments that help chipmakers and data center hardware vendors verify high performance components.

Operations: The business generates the bulk of its revenue from the Measuring Instruments segment at NT$65.9b, with NT$1.5b from Automatic Equipment.

Market Cap: NT$953.1b

Chroma ATE matters in this AI Infrastructure Enablers screener because its test platforms sit in the critical path between advanced chips, AI servers, and the racks that house them. This positioning gives it direct exposure to the build out of high performance compute and data center hardware.

"Chroma ATE continues to see very strong demand for Test Instruments and ATS tied to AI server power and data center applications, supported by HVDC-related testers that have full year orders in place and customers asking for faster deliveries."

What investors really need to watch now is how one quiet cost pressure shapes the balance between that strong demand and future profitability.

That pressure point is exactly what you unpack in the full narrative for Chroma ATE, where the story of demand, pricing power, and capital intensity starts to separate.

Nanya Technology (TWSE:2408)

Overview: Nanya Technology produces DRAM and related memory products that feed GPUs, accelerators, and data center servers powering AI-heavy workloads worldwide.

Market Cap: NT$1.7t

Nanya Technology matters for this AI Infrastructure Enablers screener because every AI training cluster and inference rack requires reliable, high bandwidth memory, and this producer is building its own path to supply that demand.

"Nanya Technology is transitioning to self-developed 1B and next-generation 10-nanometer technologies, which should lower production costs and improve gross margins once the migration is complete."

What may influence developments from here is how one behind the scenes cost and capacity trade off shapes future pricing power.

That trade off is exactly where the full narrative for Nanya Technology shows how Nanya Technology’s cost roadmap could be decoupling near term volatility from longer term AI memory upside.

Teradyne (TER)

Overview: Teradyne builds automated test systems and robotics that help major chipmakers qualify advanced AI processors and data center components at volume.

Operations: The business generates about US$3.7b from Semiconductor Test, US$386 million from Product Test, and US$356 million from Robotics.

Market Cap: US$59.5b

Teradyne matters for this AI Infrastructure Enablers screener because its test platforms sit upstream of GPUs, AI accelerators and memory, acting as a quality gate for the chips and boards that end up in hyperscale data centers.

"Teradyne continues to tie more than 60% of its revenue to AI-focused data center demand, with record Q2 2026 revenue of about US$1.33b and guidance for a stronger second half of 2026, which indicates ongoing AI-related test and automation orders that can support future revenue and earnings."

The key question now is how one quiet shift in mix between compute, memory and robotics ends up shaping Teradyne’s profitability profile.

This mix shift is exactly what the full narrative for Teradyne unpacks, revealing how Teradyne’s AI test demand, robotics exposure, and risk drivers could be quietly accelerating earnings power.

Seeking Fresh Alternatives Before Others Do

Some of the next breakout stories are still flying under the radar for now. Screen them before the crowd, while the data still matters, and get in early.

• Spot steady cash generators before momentum headlines hit by filtering for resilient balance sheets using the list of solid balance sheet and fundamentals (203 results).
• Target companies already converting AI potential into real profits, not just hype, by scanning the curated set of 39 profitable AI stocks that aren't just burning cash.
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This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.

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