3 AI Stocks To Own In September 2026

Bond yields just hit a 24 year high as investors reassess how much they are willing to pay for future cash flows, yet spending on artificial intelligence infrastructure continues to surge. That mix can punish many assets while rewarding the companies supplying the chips, designs and tools that power AI. This article walks through three stocks from our semiconductor supply chain screener that align with that theme.

The three stocks covered below are just a sample of the idea, with the full screen surfacing 38 more semiconductor supply chain companies with equally compelling stories that are not covered in this article. To identify and analyze your own highest conviction angles on the AI hardware build out, head straight to the Semiconductor Supply Chain screener.

Broadcom (AVGO)

Overview: Broadcom is a diversified digital infrastructure company whose semiconductor solutions power AI data center networking, custom accelerators, and enterprise connectivity.

Operations: Broadcom generates about US$59.4b from Semiconductor Solutions and US$29.7b from Infrastructure Software, highlighting a large but not exclusive AI-hardware exposure.

Market Cap: US$1.70t

Broadcom matters for this semiconductor supply chain screen because its networking and custom silicon effectively link AI accelerators, storage, and users inside hyperscale data centers.

"Broadcom is generating substantial free cash flow, expanding its custom silicon business, strengthening its position in networking, and integrating software assets that further diversify earnings."

The real swing factor is how one concentrated pocket of hyperscaler demand ultimately flows through to pricing power and long-term margin resilience.

That margin question is the crux. Read the full narrative for Broadcom to see how Broadcom’s cash generation, contracts and customer mix could reshape that pricing power story.

Applied Materials (AMAT)

Overview: Applied Materials supplies the materials engineering equipment and software that chipmakers use to build advanced AI semiconductors and related electronics.

Operations: Applied Materials generates about US$22.4b from Semiconductor Systems and US$7.2b from Applied Global Services, supported by broad sales across Asia, the United States and Europe.

Market Cap: US$406.3b

Applied Materials matters for this semiconductor supply chain screen because its wafer fab tools sit where AI chips are physically patterned, wired and packaged for data center deployment.

"Structural growth in AI and high-performance computing is reshaping semiconductor demand, driving investments in advanced chip architectures such as gate-all-around (GAA) transistors, high-bandwidth memory (HBM), and advanced packaging. Applied's role in materials engineering and customer adoption of new process technologies are described here as potential drivers of revenue and market share gains as these nodes ramp from 2026 onward."

What may significantly influence results for Applied Materials is how one still developing constraint in the AI build out ultimately feeds through to long term margins.

That margin wildcard sits at the center of the story, and the full narrative for Applied Materials lays out how AI spending, tool cycles and customer budgets could be decoupling in Applied Materials’ favor.

Super Micro Computer (SMCI)

Overview: Super Micro Computer builds high performance, liquid and air cooled AI server and storage systems that host GPUs for large scale data centers.

Operations: Super Micro Computer generates about US$39.1b from high performance server solutions, with sizeable sales across the United States, Asia and Europe.

Market Cap: US$26.9b

Super Micro Computer matters for this semiconductor supply chain screen because its AI ready server racks, cooling systems and deployment services directly convert GPU shipments into usable training and inference capacity for hyperscale and enterprise customers.

"The accelerating global adoption of AI and analytics continues to drive demand for high-performance, scalable server and data center solutions, positioning Super Micro for strong multi-year revenue growth as enterprises and nations build out AI infrastructure."

What really shapes the long term payoff for investors is how one unresolved pressure on profitability and cash generation ultimately plays out.

That pressure point is exactly what full narrative for Super Micro Computer unpacks, separating short term margin strain from the longer term AI server opportunity that accelerating demand could be masking.

Seeking Fresh Alternatives Before They Fly

Markets move fast. Fresh ideas with real momentum can get caught and repriced before most investors even look. Scan under the radar for now, then act while opportunities still look early.

• Target reliable cash flows while rates stay elevated by zeroing in on companies from the 6 dividend fortresses that focus on durability over short term hype.
• Explore the AI hardware space from a different angle by checking out infrastructure enablers inside the carefully filtered 89 AI infrastructure stocks before momentum traders move in.
• Position for potential shifts in electrification and power demand by tracking transmission and grid specialists screened in the curated 39 power grid technology and infrastructure stocks while the theme is still developing.

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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