AI infrastructure and data center providers are back in the spotlight after strong earnings from hyperscalers like Amazon and Google, heavy spending on AI hardware, and renewed enthusiasm for anything tied to computing power. Investors are watching how this news flows through to companies that build the chips, memory, and data center foundations that make AI possible. This article looks at 3 stocks from our AI Infrastructure and Data Center Providers screener that appear especially exposed to these trends, and explores how the current wave of AI related optimism and capital expenditure could matter for your portfolio decisions.

Cohu (COHU)

Overview: Cohu is a US based supplier of semiconductor test and inspection equipment, automation systems, and analytics software that chipmakers and test contractors use to check that advanced processors, memory and other devices work correctly before they go into AI data centers, cars and consumer electronics. Its portfolio spans automated test equipment, handlers, test contactors, thermal subsystems and AI driven process control tools that support both production and ongoing reliability monitoring.

Operations: Cohu generates about US$522.6 million in revenue, primarily from Semiconductor Test & Inspection, with sales spread across key Asian manufacturing hubs including China, Taiwan, Malaysia and the Philippines.

Market Cap: US$2.31b

Investors looking at AI infrastructure may focus on how Cohu is connected to the build out of computing power, supplying the automated test gear that sits between chip factories and the hyperscale data centers driving current enthusiasm. The company reports a growing AI and high performance computing pipeline, rising recurring revenue from software and consumables, and plans to expand capacity in Malaysia to support demand. It still carries funding risk and is working to move from losses to profitability. With analysts outlining a wide spread of price targets, the key consideration is how investors weigh the AI linked potential against the volatility and capital structure risks involved.

Cohu’s AI test pipeline and recurring revenue story feels like only half the picture right now. For the full risk and reward context, see the 2 key rewards and 2 important warning signs

KLA (KLAC)

Overview: KLA is a US semiconductor equipment company that builds the inspection, metrology and process control tools chipmakers use to spot defects, tune their production lines and improve yields for advanced logic, memory and packaging, which are all central to AI data centers and high bandwidth memory chips.

Operations: KLA generates most of its revenue from Semiconductor Process Control at about US$12.2b, with additional contribution from PCB and Component Inspection at roughly US$750.4m and Specialty Semiconductor Process at about US$584.1m.

Market Cap: US$238.7b

KLA sits right on the fault line of the AI build out, since its tools are needed every time a foundry or memory producer adds capacity or tries to squeeze more usable chips out of a wafer. The company reports strong earnings momentum, high margins and a very high current and forecast return on equity. Together, these factors suggest the business model converts AI related wafer fab equipment demand into sizeable profits and cash. The trade off is a premium valuation, short term share price swings, exposure to export controls and a cooling China mix, all of which matter if expectations slip. If you want the full picture on how much upside is already priced in and how analysts think about future growth and risks, there is more to unpack beyond the headlines.

KLA’s earnings power and high returns raise a big question about how much future AI demand is already priced in. Get the full story in the 3 key rewards and 2 important warning signs

Lam Research (LRCX)

Overview: Lam Research builds the complex etch, deposition and cleaning equipment that chipmakers need to manufacture advanced processors and memory chips used in AI data centers, smartphones, autos and more. Its tools sit at the heart of cutting edge technologies like 3D NAND, advanced packaging and gate all around transistors that enable higher performance and storage density.

Operations: Lam Research generates about US$23.2b in revenue from Semiconductor Equipment and Services, with sales spread across major chip making regions including China, Taiwan, Korea, Japan, the United States, Europe and Southeast Asia.

Market Cap: US$368.6b

Lam Research is attracting attention because its core etch and deposition tools are closely tied to the surge in AI data center spending, while recent results show record revenue, a 31.3% net margin and very high 58.3% ROE. Analysts highlight a strong backlog, rising wafer fab equipment budgets and heavy AI related demand for NAND and high bandwidth memory, which could influence performance as hyperscalers keep building out capacity. At the same time, the stock trades on a rich P/E and relies entirely on external borrowing for funding, with earnings quality questions around high non cash items and exposure to export controls and China spending. The real question for you is how these strengths and risks balance out over a full AI investment cycle.

Lam Research’s record revenue, strong margins and high 58.3% ROE suggest something powerful is building beneath the AI spending headlines. The real twist sits inside the 2 key rewards and 2 important warning signs (1 is major!)

The three AI infrastructure and data center providers in this article are only a starting point, since the full screener turned up 28 more companies with equally compelling stories around chips, memory and data center hardware in the AI Infrastructure and Data Center Providers screener. Use Simply Wall St to identify and analyze the specific catalysts and narratives that matter to you so you can focus on the highest conviction ideas in this AI theme.

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Curious About Alternative Stock Paths?

Fresh ideas move first. Some stocks are building quiet momentum while attention stays locked on AI leaders. Before these picks get caught by the crowd, review them now and consider them before they become more widely followed.

• Identify stronger balance sheets before they appear on everyone’s radar by scanning our curated list of solid balance sheet and fundamentals (49 results) that are designed to hold up when conditions change and funding becomes tighter.
• Follow demand for cleaner energy infrastructure by tracking our hand picked 89 nuclear energy infrastructure stocks that may be positioned to benefit if power capacity becomes a bottleneck for data centers.
• Explore potential opportunities at the leading edge of materials by assessing our focused 28 best rare earth metal stocks that support chips, batteries and high performance electronics while they may still be under the radar.

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.