US semiconductor and AI hardware stocks are back in focus after allegations that China’s Moonshot AI stole advanced US models and accessed restricted Nvidia servers. For investors, the story is less about courtroom drama and more about how intellectual property risk, supply chain security, and possible US sanctions could reshape where capital flows next. This article breaks down how that news links to three large US chip related companies from our screener, all potentially positioned on the positive side of this rift, and what that might mean for your watchlist, risk tolerance, and approach to AI hardware exposure.

Astera Labs (ALAB)

Overview: Astera Labs designs semiconductor based connectivity solutions that help cloud and AI data centers move data quickly and reliably between GPUs, memory and servers using its intelligent hardware platform and COSMOS management software. Its products, including PCIe/CXL retimers, Ethernet smart cable modules, CXL memory controllers and fabric switches, are built for large scale hyperscalers and system makers running AI workloads.

Operations: Astera Labs currently reports revenue solely from its Semiconductors segment, totaling about US$1.0b, with sales spread across China, Singapore, Taiwan, the United States and other regions.

Market Cap: US$54.8b

Astera Labs sits at the heart of AI data centers. The Moonshot AI allegations highlight why hyperscalers may increasingly value trusted US based suppliers for critical connectivity hardware and system management software. The company is tightly linked to AI infrastructure spending, has high earnings and revenue growth forecasts, and benefits from deep relationships with major cloud customers and AI chip vendors. However, this also means heavy exposure to a concentrated customer base, rapid technology shifts and a high valuation that already prices in strong expectations. For investors watching US AI hardware supply chains, the key question is whether Astera Labs’ position in open, rack scale AI “Infrastructure 2.0” justifies those expectations or leaves little room for disappointment.

Astera Labs’ AI data center story is all about high expectations meeting real infrastructure demand, but the missing context is how future growth assumptions stack up against concentration risk in one place: the analyst forecasts for Astera Labs

Applied Optoelectronics (AAOI)

Overview: Applied Optoelectronics is a Texas based manufacturer of fiber optic modules and related components that carry high speed data inside AI data centers and broadband networks, supplying internet data center operators, cable companies and telecom providers in the United States and Asia.

Operations: Applied Optoelectronics generates about US$507m of revenue from optical networking equipment, with roughly US$303.6m from China, US$184.3m from Taiwan and US$19.1m from the United States.

Market Cap: US$9.6b

Applied Optoelectronics operates in the slipstream of rising AI and data traffic by supplying 800G and 1.6T optical transceivers that help keep GPU clusters and broadband upgrades running at full speed. The company is scaling new US facilities in Texas and leans heavily on in house equipment and laser know how, which can matter for customers that want secure, flexible supply amid US China tech tensions and IP concerns. At the same time, the stock carries notable tension points, including recent dilution, significant insider selling and a high P/S multiple for a business that is still loss making. For investors, the appeal centers on a fast growing AI infrastructure supplier whose outlook depends on converting large orders into durable, profitable operations.

Applied Optoelectronics sits at the crossroads of rising AI data traffic and a still loss making business, and the real story sits inside the 2 key rewards and 3 important warning signs (2 are major!)

Silicon Motion Technology (SIMO)

Overview: Silicon Motion Technology designs the controllers that sit inside solid state drives and other flash storage, helping PCs, smartphones, cars, industrial systems and AI data centers reliably read and write data to NAND memory. It sells these controllers and single chip SSD solutions under its SMI and Ferri brands to flash makers, module manufacturers, hyperscalers and equipment producers worldwide.

Operations: Silicon Motion Technology generates about US$1.1b in revenue from developing NAND flash controllers for solid state storage devices.

Market Cap: US$9.4b

Silicon Motion Technology sits at the intersection of AI storage demand and tight global memory supply, with its controllers used across client PCs, smartphones and increasingly AI focused data centers. Management highlights that AI workloads are straining NAND and HDD capacity, while NAND makers are leaning more on Silicon Motion to fill controller gaps as they focus resources on DRAM and HBM. This helps explain why earnings recently grew 80.5% and margins improved to 16%. The trade off for investors is a rich valuation, high non cash earnings and exposure to pricing pressure and customer concentration. The key question is whether AI driven storage demand can keep supporting this growth before those risks catch up.

Silicon Motion’s earnings surge and 16% margin leave a big question hanging: is AI storage demand masking deeper pressure in the model, or setting up a stronger foundation than the market assumes in the analysis report for Silicon Motion Technology?

The three stocks in this article are just a starting point, and the full US Semiconductor and AI Hardware Companies screener surfaced 46 more companies with equally compelling narratives across chip design, manufacturing and AI infrastructure in the US Semiconductor and AI Hardware Companies screener. With Simply Wall St, you can identify and analyze the specific catalysts, risk profiles and business narratives that matter to you so you can focus on the highest conviction semiconductor and AI hardware ideas.

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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.