South Korea’s latest trade data reads like a real time snapshot of where global money is flowing, with semiconductor exports surging 259.4% and computer shipments rising very sharply on the back of AI server demand. That kind of activity can ripple through AI exposed chipmakers and hardware suppliers, creating both enthusiasm and risk. This article breaks down three stocks from our screener that appear closely tied to this story.
The three stocks covered below are just a small sample, and the full screen surfaced 71 more large and liquid companies with AI linked semiconductor and server hardware stories that are not detailed in this article.
To explore the opportunity set in more detail, identify your own angles, and quickly analyze which businesses fit your risk tolerance, head straight into the AI-Driven Semiconductor and Server Hardware Stocks screener
Applied Materials (AMAT)
Applied Materials sits near the front of the AI buildout, providing the tools chipmakers need to manufacture advanced AI processors and high bandwidth memory that feed data center demand worldwide.
Applied Materials, Inc. generates most of its revenue from Semiconductor Systems at about US$22.4b, with Applied Global Services contributing roughly US$7.2b and a segment adjustment of about US$1.3b, and the company carries a market value of around US$309.6b.
"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."
What happens if one unseen pressure on how that future mix turns into sustainable margins and cash generation finally shows up in the numbers?
That pressure point is exactly what the full narrative for Applied Materials unpacks, so read the full narrative for Applied Materials to see how the AI cycle and margins could decouple.
Lattice Semiconductor (LSCC)
Lattice Semiconductor plugs into the screener through its low power FPGAs that help manage and secure AI oriented servers and infrastructure, giving investors exposure to the control and security layer around data center and edge AI hardware.
Lattice Semiconductor generates about US$651 million from its Core Lattice segment, selling FPGAs, software, IP and hardware tools, and has a market value of roughly US$13.2b.
"AI focused server demand is expected to keep increasing FPGA content per rack for Lattice Semiconductor, with reported attach rates above 3x per rack in many systems and some AI racks using up to 100 devices, which points to a larger unit base and higher average selling prices that can support revenue and gross margin growth."
The real tension for Lattice Semiconductor is how one emerging constraint could shape whether that richer product mix actually turns into durable margins.
If that constraint is what you are weighing, read the full narrative for Lattice Semiconductor to see how Lattice Semiconductor’s AI rack momentum could accelerate or quietly stall.
Nova (NVMI)
Nova gives you a way into the plumbing of the AI chip boom by supplying process control gear that helps fabs keep yields tight as designs get more complex and AI data center demand pushes manufacturers to squeeze more usable chips from every wafer.
Nova generates about US$937 million from Semiconductor Equipment and Services, supplying metrology platforms across logic, foundry, memory and packaging customers worldwide, and the stock carries a market value of roughly US$10.6b.
"The accelerating complexity of semiconductor devices driven by AI workloads, larger die sizes, advanced nodes and heterogeneous packaging continues to fuel demand for Nova’s advanced metrology solutions across logic, foundry and memory, which can support higher revenue and earnings as customers expand metrology intensity."
What really moves the needle for Nova is how one less visible shift in where chipmakers spend their metrology budgets shapes that earnings story.
That quieter budget shift is exactly what the full narrative for Nova breaks down, revealing where Nova’s metrology demand could quietly accelerate or start to decouple.
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