AI focused investment has turned from a niche idea into a major driver of US economic growth, with recent data pointing to strong business spending on AI related equipment and intellectual property. That wave of capital needs chips. It needs factories, tools and designers. This article examines three companies from the broader semiconductor hardware ecosystem that sit within that spending stream and explains why many investors are watching them closely.
The stocks covered below are just a sample of the opportunities in the semiconductor hardware ecosystem, and the full screen surfaced 55 more companies with equally compelling narratives that are not included in this article. If you want to go beyond the shortlist and identify, filter, and analyze your own highest conviction ideas across the AI hardware chain, head straight to the Semiconductor Supply Chain screener .
Applied Materials (AMAT)
Applied Materials is one of the key equipment suppliers behind AI focused chip manufacturing, with its tools used at critical steps in turning silicon wafers into high performance logic and memory for data centers and advanced computing.
Applied Materials generates about US$22.4b from its Semiconductor Systems division, which sells AI relevant fabrication tools, and roughly US$7.2b from Applied Global Services, which supports and maintains that installed base. The business is large scale, with a market value around US$314.2b.
For investors looking at the AI hardware build out, Applied Materials links directly to the tools that chipmakers rely on, and the company is leaning into higher value segments that could reshape where future profits come from.
"The mix shift toward leading edge foundry logic, DRAM including high bandwidth memory, and advanced packaging is expected to account for most wafer fab equipment growth in 2026 and 2027. Applied Materials is forecasting more than 70% growth in advanced packaging revenue and more than 50% growth in process diagnostics and control in 2026."
The real swing factor is how one developing shift in its higher value product mix ultimately feeds through into margins and earnings power.
How that product mix reshapes earnings power sits at the heart of the full narrative for Applied Materials , which tracks where AI capital could be accelerating and where risks still lurk.
ASML Holding (ENXTAM:ASML)
ASML Holding is the specialist that supplies the lithography gear chipmakers need for the most advanced AI oriented semiconductor nodes. Its extreme ultraviolet systems are at the center of that role, and all of its €39.5b in sales come from semiconductor equipment and services. The business has grown into a European heavyweight with a market value of about €572.1b.
ASML Holding's EUV tools make it one of the clearest equipment plays on the AI hardware build out. Its role in enabling leading edge chip production has turned the company into a focal point for policymakers and investors alike.
"Export restrictions, especially involving China, have turned ASML into a geopolitical chokepoint. Governments understand that controlling ASML means influencing the future of computing, AI, and defense technologies."
A key issue is what happens to pricing power if a single, not yet fully visible pressure on AI focused lithography demand, capacity plans, and customer capex decisions begins to have a material impact.
That pressure point is exactly where the full narrative for ASML Holding shows how ASML Holding's geopolitical role, customer roadmaps, and AI demand could be quietly decoupling from headline export noise.
Lam Research (LRCX)
Lam Research is one of the key equipment makers in the Semiconductor Supply Chain screener, supplying etch, deposition, and cleaning tools that help foundries and memory producers build AI ready chips and memory. All of its roughly US$26.1b in revenue comes from wafer processing equipment and services, and the stock carries a market value near US$300.9b.
For investors following how AI capital spending flows into the physical build out, Lam Research offers a direct line into the tools memory and logic manufacturers rely on. Its etch and deposition platforms are closely tied to denser storage and more complex chips that underpin accelerators.
"NAND conversion pace. The June quarter's doubling is the first real evidence the upgrade cycle has started."
The real tension is what happens to that high grade tool mix and profitability if one key spending cycle in AI focused memory equipment peaks earlier than expected.
That cycle risk is only part of the story, and the full narrative for Lam Research shows how Lam Research's AI tooling mix could still be quietly accelerating.
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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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