3 AI Infrastructure Stocks for Investors Watching Data Center Spending

AI infrastructure is turning into a long-haul build, not a passing fad, yet rising funding costs and tighter capital access could redraw the winner list. Investors who only focus on headline AI stocks risk missing quieter enablers that power chips, servers and data centers behind the scenes. This article walks through 3 stocks exposed to that story, explaining why the current backdrop might help or hurt each one.

The three stocks in this piece are a small sample from a much broader hunting ground, as the full AI infrastructure screen flagged 238 more businesses with similarly interesting AI-related stories that are not covered here. If you want to identify and analyze potential AI infrastructure enablers with your own filters, go straight to the AI Infrastructure Enablers (Semiconductors & Data Center Hardware) screener.

Samsung Electro-Mechanics (KOSE:A009150)

Samsung Electro-Mechanics is plugged directly into the AI infrastructure buildout through the components that make GPUs, accelerators and data center servers actually work, which is why it sits near the center of this screener.

Samsung Electro-Mechanics manufactures capacitors, substrates and other components used in AI servers and data center hardware, with revenue split across Component ₩5,759,438 million, Optics Solution ₩3,963,634 million and Package Solution ₩2,734,427 million, and a market cap of about ₩113,854,034 million.

Accelerating investment and growth in AI infrastructure, as seen in rising demand for high-end MLCCs and substrates for AI servers, network equipment and next-generation GPUs, is expected to significantly expand Samsung Electro-Mechanics' addressable market, boosting both revenue and margins through higher-value product mix.

What happens to that margin story if one quiet but crucial pressure on AI server component pricing starts to bite harder than expected?

If that pricing squeeze is on your mind, read the full narrative for Samsung Electro-Mechanics to see how Samsung Electro-Mechanics could still turn AI demand into durable earnings power.

Entegris (ENTG)

Entegris is effectively a picks and shovels supplier for the AI data center buildout, feeding chipmakers the materials and filtration gear needed to run advanced fabs that turn GPU and memory capex into actual wafers.

Entegris generates about US$1.4b from its Materials Solutions unit and roughly US$1.8b from Advanced Purity Solutions. This reflects a business heavily tied to semiconductor consumables and contamination control, with a market value of around US$25.3b.

Rising AI related demand for advanced logic, HBM, DRAM and higher layer NAND is increasing Entegris’ materials and filtration content per wafer and is already visible in double digit growth in liquid filtration, CMP pads, advanced deposition materials and selective etch chemistries. This can support further revenue and gross margin expansion as these nodes scale.

The unanswered question is what happens to that margin story if one quiet assumption about fabs’ long range AI capex plans starts to wobble.

If that assumption is what worries you, read the full narrative for Entegris to see how Entegris could still turn AI wafer demand into accelerating cash generation potential.

Alchip Technologies (TWSE:3661)

Alchip Technologies is one of the clearest pure plays on custom chips that sit inside AI servers and high performance data centers, since its ASIC and SoC work directly targets that buildout rather than broader consumer electronics demand.

Alchip Technologies earns all its NT$23.1b revenue from semiconductors, largely through ASIC and SoC design and production services. It has a market value of about NT$374.6b.

For investors focused on AI infrastructure, Alchip Technologies offers something different. It is not selling general purpose GPUs. It designs the custom ASIC brains that big cloud and AI customers commission when off the shelf hardware no longer fits their power or performance targets.

The N2 accelerator program, which carries a much higher NRE contract value than N3 and a higher expected chip price due to its multi die chipset structure, gives Alchip Technologies a path to a step change in average selling prices and NRE intensity once tape out completes around the end of 2026 and production revenue starts to contribute around 2028.

What happens to that pricing and earnings mix if a single assumption about how quickly these custom AI projects move from design to high volume production proves too optimistic?

If that timing risk matters to you, read the full narrative for Alchip Technologies to see how Alchip Technologies could still turn long AI lead times into accelerating upside potential.

Seeking Fresh Alternatives Beyond AI?

Fresh breakout stories rarely stay under the radar for long. Once momentum is flying, ideal entry points get caught and start dropping from view. Consider researching opportunities early.

• Identify resilient cash generators before they move by scanning the list of solid balance sheet and fundamentals (202 results) and focusing on companies with cleaner finances.
• Explore reliable cash payouts while share prices are still adjusting by reviewing the 220 dividend fortresses and concentrating on high yielders that can operate in tough conditions.
• Monitor accelerating AI adoption outside the large-cap names by using the 39 profitable AI stocks that aren't just burning cash and concentrating on operators already funding expansion from earnings.

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.

Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team@simplywallst.com