Masayoshi Son’s push to fund huge AI infrastructure projects through DigitalBridge shows how quickly the race for chips, cloud capacity, and large language models is scaling up. Capital is chasing the picks and shovels of the ChatGPT era, yet many AI linked businesses still trade on undemanding valuations. This article highlights three underpriced US AI stocks from our screener that directly plug into this build out.
The three stocks below are just a starting sample, and the full screen flags 44 more AI linked businesses with equally compelling stories that do not fit into a short article.
If you want to identify your own highest conviction ideas across chips, cloud and software, head straight into the Undervalued Artificial Intelligence/ AI Stocks screener.
Overview: NVIDIA develops data center AI computing platforms and GPUs, supplying chips, software and systems that power generative AI and advanced graphics.
Operations: NVIDIA generates about US$275.4b from Compute & Networking and US$27.6b from Graphics, with most sales coming from the United States and Taiwan.
Market Cap: US$5.6 trillion
NVIDIA matters for this AI screener because its data center GPUs and software stack are the core tools many cloud providers rely on to build and run large language models at scale.
“Uptake of an open-source, cheaper, or 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). $400b revenue also assumes data centre customers (mainly AI model producers/operators) continue to find sufficient revenue and financing to continue investing in better models at pace.”
The real swing factor for NVIDIA is what happens if a single key assumption about future AI infrastructure spending starts to fray.
When that assumption starts to wobble, the full story sits inside the full narrative for NVIDIA, where AI demand, capital intensity, and competitive risk are all pulled together.
NasdaqGS:NVDA Earnings & Revenue Growth as at Oct 2026
Overview: Broadcom supplies high-performance semiconductor connectivity and infrastructure software, linking AI accelerators, data centers, and private clouds that run large language models.
Operations: Broadcom generates about US$59.4b from Semiconductor Solutions and US$29.7b from Infrastructure Software across global enterprise and cloud customers.
Market Cap: US$1.7 trillion
Broadcom matters for this AI-focused screen because its networking chips and custom accelerators help move and connect the torrents of data that modern AI models depend on. Its VMware-powered software stack also gives enterprises tools to run private AI workloads on their own terms.
“Broadcom benefits from that outcome regardless of which AI model wins, which cloud provider gains share, or which software platform becomes dominant.”
The real test comes if one assumed pillar of AI infrastructure demand shifts, and investors see how that ripples through margins and cash generation.
If that pillar holds or bends, the full story sits inside the full narrative for Broadcom, where Broadcom’s AI leverage, risks, and cash generation all come into sharp focus.
NasdaqGS:AVGO Earnings & Revenue Growth as at Oct 2026
Overview: Alphabet runs Google Cloud’s Vertex AI and Gemini platforms alongside its larger ads and consumer services, giving enterprises direct access to managed generative AI tools.
Operations: Alphabet generates about US$367.1b from Google Services and US$77.6b from Google Cloud, with most revenue coming from the United States and EMEA.
Market Cap: US$4,183.6b
Alphabet matters for this AI screen because Vertex AI and Gemini turn Google Cloud into an enterprise-grade engine for training, running, and managing large language models at scale.
“Google Cloud, which crossed the $20 billion quarterly revenue threshold for the first time, showed revenue of $20.03 billion (+63% YoY) and operating income of $6.6 billion, with backlog nearly doubled quarter on quarter to over $460 billion, fueled by demand for enterprise AI infrastructure.”
What happens to Alphabet’s AI upside if a single assumption about how quickly enterprises shift core workloads into this stack starts to fray?
That inflection point is exactly what the full narrative for Alphabet unpacks, revealing where Alphabet’s AI momentum could accelerate, stall, or quietly decouple from headline cloud figures.
NasdaqGS:GOOGL Earnings & Revenue Growth as at Oct 2026 Seeking Fresh Alternatives Beyond AI?
Market momentum shifts fast. Fresh ideas get picked over once the crowd arrives and the easy entry points vanish. Scan these curated lists while it matters and get in early.
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.
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