AI Infrastructure Stocks To Watch After The Semiconductor Selloff

Lam Research Corporation

Lam Research Corporation

LRCX

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A violent margin call in AI and semiconductor stocks, a sharp selloff in South Korea’s chip giants, and fresh questions about hyperscalers’ spending have turned a crowded trade into a stress test for U.S. Large-Cap Technology Stocks. At the same time, higher margin debt and cooling demand for AI-sector bonds are reshaping how investors think about risk and funding. This article breaks down how those pressures connect, then highlights 3 stocks from our AI & Semiconductor Leaders screener that appear positively exposed to this news shock, and explains why they may still deserve a place on your watchlist.

Rambus (RMBS)

Overview: Rambus is a semiconductor company that supplies memory interface chips and security and interface IP that help move and protect data in AI servers, data centers, government systems and automotive platforms, working closely with memory makers, hyperscalers and chip designers.

Operations: Rambus generates about US$721.2m from semiconductors, with key geographic exposure to South Korea (US$347.7m), Singapore (US$140.4m), the United States (US$119.9m) and other markets (US$113.1m).

Market Cap: US$11.0b

Rambus sits in the core plumbing of AI infrastructure, supplying DDR5 chipsets, PCIe and HBM IP that help hyperscalers push more data through increasingly crowded servers. This can matter when other AI stocks face forced selling and tighter funding. Earnings growth has been strong and margins are high. Recent products such as the 9,600 MT/s DDR5 server chipset and PCIe 7.0 switch IP keep the company tied to the most demanding workloads. A history of buybacks also shows a willingness to return cash. At the same time, heavy reliance on AI and data center cycles, concentration in DDR5 and an ongoing DOJ probe mean the story is not risk free and may warrant a closer look before deciding how it fits your watchlist.

Rambus sits at the crossroads of AI plumbing and high margins, yet its DOJ probe and DDR5 focus leave a big question hanging. Get the full story in the 4 key rewards and 2 important warning signs

NasdaqGS:RMBS Earnings & Revenue History as at Jul 2026
NasdaqGS:RMBS Earnings & Revenue History as at Jul 2026

KLA (KLAC)

Overview: KLA Corporation supplies the inspection, metrology and yield management tools that chipmakers use to spot defects, control processes and improve yields in semiconductor fabs, making its equipment essential for producing advanced AI and high performance computing chips.

Operations: KLA generates most of its roughly US$13.1b in revenue from Semiconductor Process Control (about US$11.9b), with additional contributions from PCB and Component Inspection (around US$663m) and Specialty Semiconductor Process (about US$566m), serving chip and electronics manufacturers across Asia, North America, Europe and Israel.

Market Cap: US$277.9b

KLA sits at the heart of the AI chip build out because its tools help leading fabs squeeze more usable chips out of every wafer, which can matter when hyperscalers recheck spending plans and every point of yield counts. Analysts currently expect earnings growth, margins are high and recurring service revenue helps smooth a cyclical sector, but the stock trades on a rich P/E, insiders have been selling and heavy use of debt inflates an already eye catching ROE. For investors trying to separate quality from hype in the recent AI and semiconductor selloff, how those strengths and pressure points balance out is a key consideration around KLA.

KLA’s high margins and rich P/E suggest something more complex than a simple AI hype story, and the real tension sits in its balance sheet choices. As a result, the 2 key rewards and 2 important warning signs might change how you frame that trade off.

NasdaqGS:KLAC P/E Ratio as at Jul 2026
NasdaqGS:KLAC P/E Ratio as at Jul 2026

Lam Research (LRCX)

Overview: Lam Research supplies the etch, deposition and cleaning equipment that chipmakers need to build advanced semiconductors, from high bandwidth memory to leading edge logic used in AI data centers, smartphones and autos. Its tools sit deep in the production flow, which makes Lam a key partner for fabs in the United States, Asia and Europe.

Operations: Lam Research generates about US$21.7b from semiconductor equipment and services, with major geographic exposure to China (US$8.0b), Korea (US$4.3b), Taiwan (US$4.4b), Japan (US$2.3b), the United States (US$1.2b), Southeast Asia (US$1.1b) and Europe (US$0.5b).

Market Cap: US$391.8b

Lam Research sits at the center of the AI wafer fab equipment story, supplying tools that benefit when memory and logic makers eventually need to rebuild capacity after today’s pullback in spending. However, its reliance on a few large customers, heavy exposure to China and a rich P/E mean the recent AI margin call cuts both ways. Earnings growth of 44.1%, margins around 30.9% and very high ROE suggest the core business is currently delivering, but recent insider selling and funding entirely from external sources add financial and governance questions. With AI servers requiring far more DRAM and storage per box, the real puzzle is how Lam participates if the next leg of AI capex looks different from the last and how that squares with current valuation expectations.

Lam Research’s high margins, strong ROE and rich P/E hint that the story runs deeper than a simple AI wafer fab play. The real twist sits inside the full narrative for Lam Research

NasdaqGS:LRCX P/E Ratio as at Jul 2026
NasdaqGS:LRCX P/E Ratio as at Jul 2026

The stocks in this article are just a starting point, and the full U.S. Large-Cap Technology Stocks (AI & Semiconductor Leaders) screener surfaces 20 more large cap technology companies with equally compelling narratives around AI, semiconductors and software. Use Simply Wall St to identify and analyze the specific catalysts, funding profiles and business models that matter most to you, so you can focus on the highest conviction opportunities in this theme.

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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.