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AI Infrastructure Stocks Facing Fed Pressure and Data Center Demand
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Rising Treasury yields, talk of a possible September Fed rate hike, and heavy investment in AI and data center capacity are pulling markets in different directions at once. That mix can punish some stocks while rewarding others tied to this spending wave. This article looks at three large cap US stocks exposed to the latest Fed messaging and AI build out, and explains how each might fit, or not, in your own watchlist.

The three stocks below are just a starting sample, with the full screen surfacing 50 more large cap AI and data center companies that have equally compelling narratives but are not covered in this article. If you want to identify and analyze your own highest conviction ideas right now, head straight into the US Large-Cap AI and Data Center Technology Stocks screener.

GLOBALFOUNDRIES (GFS)

Overview: GLOBALFOUNDRIES is a dedicated semiconductor foundry that manufactures mainstream chips used in data centers, AI workloads, communications and automotive applications, as well as providing quantum technology solutions under a partnership with the U.S. Department of Energy’s Genesis Mission. Customers rely on its global fabrication footprint to supply processors, RF modems, microcontrollers and power management units that support compute and infrastructure demand.

Operations: GLOBALFOUNDRIES generates all of its reported US$6.9b in revenue from semiconductor manufacturing.

Market Cap: US$24.1b

GLOBALFOUNDRIES provides direct exposure to the build out of AI and data center capacity through its mainstream foundry lines. This includes chips that address networking and power bottlenecks that many investors may not focus on. The company currently operates with positive earnings, has government backed manufacturing projects and quantum initiatives, and has attracted design wins across automotive, communications and edge AI. At the same time, it faces trade and funding risks, heavy capital needs and relatively limited exposure to the most advanced process nodes. These factors may influence how fully it participates in future AI related spending. For investors tracking this theme, the mix of AI linked drivers and these constraints makes GLOBALFOUNDRIES a candidate for closer monitoring.

GLOBALFOUNDRIES’ AI and quantum positioning is easy to headline, but the real story is how its mainstream foundry model converts that demand into cash flow. Get the full picture in the analysis report for GLOBALFOUNDRIES

NasdaqGS:GFS Earnings & Revenue History as at Sep 2026
NasdaqGS:GFS Earnings & Revenue History as at Sep 2026

Synopsys (SNPS)

Overview: Synopsys is a leading provider of software and design IP that chip makers use to create and test complex semiconductors, including AI accelerators and data center processors. Its tools and pre built IP blocks are embedded in customer workflows for everything from virtual prototyping and verification to specialized processor and security designs that support advanced computing and cloud infrastructure projects.

Operations: Synopsys generates most of its revenue from its Design Automation segment at about US$7.7b, with the remainder from Design IP at roughly US$1.7b.

Market Cap: US$79.5b

Synopsys provides exposure to the AI and data center build out not through chips themselves but through the software and IP that make those chips possible. Recent product launches around Multiphysics Fusion and AI driven design flows, as well as deeper ties with NVIDIA, Microsoft, AMD and Intel Foundry, highlight how closely linked it is to next generation silicon. At the same time, premium valuation expectations, margin pressure, reliance on external funding and China exposure mean the stock price can be sensitive to both Federal Reserve policy shifts and any changes in AI design budgets. For investors who want to understand whether that trade off still looks attractive, the full story extends beyond headline AI demand and recent guidance adjustments.

Synopsys sits where AI design budgets and premium expectations intersect, yet many investors still treat it as a simple tools provider. Get the analyst forecasts for Synopsys and see what current forecasts might be missing.

NasdaqGS:SNPS P/E Ratio as at Sep 2026
NasdaqGS:SNPS P/E Ratio as at Sep 2026

Hewlett Packard Enterprise (HPE)

Overview: Hewlett Packard Enterprise develops servers, networking gear and hybrid cloud platforms that power enterprise and cloud data centers, including AI workloads. These products are sold through a wide partner network across major global regions.

Operations: Hewlett Packard Enterprise reports US$10.1b of revenue from Networking and a further US$27.9b in segment adjustments and US$779 million from Corporate Investments and Other.

Market Cap: US$67.4b

Hewlett Packard Enterprise is closely linked to the build out of AI ready data centers, with networking and server products that support many of the projects associated with the investment cycle that John Williams highlighted. The company is emphasizing AI hardware, hybrid cloud and higher margin services, while maintaining a stated policy of returning 65% to 75% of free cash flow to shareholders. This mix may appeal to investors seeking both AI infrastructure exposure and ongoing capital returns. On the other hand, high debt levels, reliance on acquisitions such as Juniper and uneven demand across legacy hardware create execution risk, particularly if higher interest rates affect customer budgets. For investors tracking the AI infrastructure theme, a key question is how effectively HPE can translate its AI-related backlog and GreenLake initiatives into durable, higher quality earnings.

Hewlett Packard Enterprise’s AI ready backlog and capital returns policy hint at a story investors may be underestimating. Read the analysis report for Hewlett Packard Enterprise to see how its debt load and acquisitions could change that story.

NYSE:HPE Earnings & Revenue Growth as at Sep 2026
NYSE:HPE Earnings & Revenue Growth as at Sep 2026

Seeking Fresh Alternatives Beyond AI?

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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.

Disclaimer:This article represents the opinion of the author only. It does not represent the opinion of Webull, nor should it be viewed as an indication that Webull either agrees with or confirms the truthfulness or accuracy of the information. It should not be considered as investment advice from Webull or anyone else, nor should it be used as the basis of any investment decision.
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