3 AI Stocks With Up To 30% Revenue Growth Mitch Lawler Thu, November 12, 2026 at 3:14 AM EST 5 min read NVDA -3.71% MU +8.60% QCOM -0.51% Explore stocks on Coinbase Trading disclosure Trading disclosure The above button links to Coinbase. Yahoo Finance is not a broker-dealer or investment adviser and does not offer securities or cryptocurrencies for sale or facilitate trading. Coinbase pays us for certain activity generated through this link. Prices displayed are informational.
Public funds worldwide are pouring money into artificial intelligence and the infrastructure behind it, with sovereign wealth and pension assets projected to reach $22.4 trillion by 2030. That is a large pool hunting for places to park long term capital. When large institutions target the physical backbone of AI, individual investors often follow later at less attractive entry points. This article highlights three AI infrastructure stocks from our screener that align with that theme.
The three featured AI infrastructure stocks are only a starter pack from this theme, and the full screen surfaced 50 more companies with equally interesting stories that are not covered below. If you want to identify and analyze the setups that best fit your own playbook, head straight into the AI Infrastructure Stocks screener.
Overview: NVIDIA is a global chip designer whose data center GPUs and networking platforms power AI training and inference in large-scale data centers.
Operations: NVIDIA generates about US$275.4b from Compute & Networking and US$27.6b from Graphics, with most revenue sourced from the United States and Taiwan.
NVIDIA matters for this AI infrastructure theme because its data center GPU and networking stack is where hyperscalers turn AI demand into physical hardware. KiwiInvest, an investor in the Simply Wall St Community, argues this creates both strong economics and a very specific technological risk.
"Uptake of an open-source/cheaper/better platform than Nvidia's CUDA would heavily undermine Nvidia's moat and enable any sizeable firm to directly engage semiconductor manufacturers, such as TSMC, to produce their own chips, stealing away Nvidia's high margin products (similar to what Apple did with its M-Series chips)"
What happens to NVIDIA's AI data center advantage if a single unseen pressure quietly chips away at pricing power and long-term demand confidence?
That quiet pressure point is exactly what the full narrative for NVIDIA unpacks in detail, separating real moat erosion risks from noise for long term NVIDIA holders.
Overview: Micron Technology produces DRAM, high bandwidth memory, and NAND storage that feed GPUs and AI data centers with essential memory capacity.
Operations: Micron generates most of its roughly US$136.7b revenue from Cloud Memory and Core Data Center segments, with significant sales into the United States and Taiwan.
Micron Technology matters for this AI infrastructure theme because its HBM and data center DRAM sit inside the racks that turn theoretical model demand into real compute capacity. HedgeY, an investor in the Simply Wall St Community, argues that one shift in how this memory works could reshape the whole AI buildout.
"The central change is HBM. High bandwidth memory is stacked DRAM designed to feed AI accelerators with enough bandwidth to keep them busy. It is more complex, more valuable, and more capacity-hungry than conventional DRAM."
What happens to Micron's margins and pricing power if that one critical lever in the AI memory stack tightens just a bit further?
If that squeeze on the AI memory stack is what worries you, read the full narrative for Micron Technology to see how Micron Technology could still accelerate from here.
Overview: QUALCOMM designs wireless and computing chips, software and licensing for smartphones, connected cars, IoT devices and AI powered data center and edge hardware.
Operations: QUALCOMM generates about US$37.2b from QCT and US$5.6b from QTL, with roughly US$18.1b from China and US$10.8b from the United States.
QUALCOMM matters for this AI infrastructure theme because its Cloud AI 100 accelerators, Snapdragon X platforms and supporting software push AI inference into the physical racks, edge boxes and connected devices that need to process workloads in real time. This is exactly where the analyst consensus Narrative on Simply Wall St sees the next leg of its business mix heading.
"Scaling of Qualcomm's High Bandwidth Compute architecture in data center AI workloads, supported by claimed step changes in bandwidth and capacity per watt and early interest from memory vendors and hyperscalers, has the potential to support the company's target of more than 5% share of a roughly US$1t AI data center market and to influence QCT revenue and gross margin over the coming years."
What happens to Qualcomm's AI economics if a single large customer decision quietly shifts how much of that infrastructure run rate materialises?
If that shift is what you are watching, read the full narrative for QUALCOMM to see how Qualcomm's AI story could be accelerating beneath the surface.
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This article is general in nature and was produced with the assistance of AI automation, based on data and analysis from Simply Wall St. 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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