AI and data-center spending just got a fresh jolt from stronger than expected U.S. growth, with Q3 GDP at 3.4% and business investment in information processing equipment jumping 37.4%. That kind of momentum can quickly reshuffle which technology stocks benefit most, and which get left behind. This article walks through three U.S. listed AI and data-center related stocks exposed to this backdrop, and explains why each one may deserve a closer look now.
The stocks covered below are just a small sample. The full screen surfaces 53 more U.S.-listed AI and data-center related companies that also have detailed narratives but are not broken out in this article.
To go straight to the source, use the U.S. AI and Data-Center Technology Stocks screener to identify, analyze, and focus on the potential high conviction opportunities that best match your own view of the AI and data-center theme.
Diodes (DIOD)
Overview: Diodes supplies a broad range of power, protection, and mixed-signal semiconductors that sit inside servers, data centers, and connected devices worldwide.
Operations: Diodes generates about US$1.63b from standard semiconductor products, with revenue heavily tied to Asia, Europe, and the Americas through its global customer base.
Market Cap: US$4.04b
Diodes matters for this AI and data-center screen because its power, protection, and signal chips are the quiet plumbing behind servers, switches, and connected hardware that need to handle rising compute loads.
"Rising demand for Diodes' solutions in AI-related computing and the broader ecosystem of connected devices (including data centers, servers, industrial automation, and IoT) is associated with revenue momentum and market share trends, which some observers view as improving longer-term top-line visibility."
What investors may watch closely now is how one unseen pressure could shape future margins if theme-driven demand remains intense.
If that margin pressure angle has your attention, read the full narrative for Diodes to see how Diodes’ AI demand, pricing power, and capital choices could be decoupling.
monday.com (MNDY)
Overview: monday.com provides a cloud-based Work OS that helps businesses manage projects, sales, service, and development workflows with increasing AI-driven automation.
Operations: monday.com generates about US$1.37b from internet software and services, with US$682.7m from the United States and US$292.2m from EMEA.
Market Cap: US$4.14b
monday.com fits this AI and data-centric screen as a workflow hub where automation, machine learning, and software investment convert directly into productivity gains for customers.
"Rapid integration of generative AI and low code or no code capabilities, now reinforced by the monday AI work platform and mondayDB 3.0, indicates a focus on deeper automation and customization that can support higher ARPU and stronger operating margins as AI monetization scales."
What could really move the needle for monday.com now is how one subtle shift in customer adoption changes the trajectory of unit economics.
That inflection in unit economics is exactly where the story sharpens, and the full narrative for monday.com explains how monday.com’s AI shift could accelerate or stall that thesis.
Amdocs (DOX)
Overview: Amdocs builds cloud-based, AI-enabled software and services that run customer experience, billing, and network operations for telecom and media providers worldwide.
Operations: Amdocs generates about US$4.65b from software products and services, with roughly US$3.03b from North America, US$747m from Europe, and US$877m from other regions.
Market Cap: US$6.50b
For this AI and data-center screen, Amdocs matters because its telecom software is where data-heavy customer interactions and network workflows are increasingly infused with GenAI tools and automation.
"At the heart of its operations, Amdocs serves as a critical bridge between legacy infrastructure and modern digital requirements, supporting complex telco IT environments with a focus on business support systems (BSS) and operations support systems (OSS)."
The real swing factor for Amdocs now is how one emerging pressure on AI-driven project economics shapes long-term margins and contract quality.
That pressure point is exactly where the full narrative for Amdocs shows how Amdocs could turn AI project risk into accelerating contracts and stronger long-term economics.
Curious About What You Might Be Missing?
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