Washington just put AI and defense infrastructure back under a spotlight, with plans for an “AI Force” and an AI tsar signaling fresh attention on chips, cloud capacity and contractors that can plug into federal demand. That shift could reshape where capital flows next and it creates both openings and risks for investors watching AI-related equities. This article unpacks 3 US-listed large caps exposed to this policy theme and explains how each stock connects to the AI and defense spending story.
The stocks covered below are only a small sample of the opportunities that fit this federal AI and defense infrastructure theme. The broader screen surfaced 37 more US-listed large caps with similarly detailed stories that are not broken out in this article.
If you want to identify which contractors, chip suppliers and cloud players look most compelling on value, quality and future potential, head straight to the US Federal AI & Defense Infrastructure Contractors screener.
NVIDIA is the clearest pure play on the AI Force theme, since its GPUs, networking gear and software already underpin the heavy compute that federal and defense workloads rely on, which makes the business a natural focal point for investors tracking US AI infrastructure spending.
NVIDIA runs a data center scale AI hardware and software platform, with Compute & Networking generating about US$275.4b and Graphics around US$27.6b in revenue, and the stock carries a roughly US$5.36t market value that reflects this central AI infrastructure role.
“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.”
What happens to NVIDIA’s AI infrastructure edge if a single key assumption about developer loyalty quietly shifts over the next few years?
That loyalty question sits at the center of the full narrative for NVIDIA, which maps how CUDA risk, AI Force demand and valuation could be decoupling beneath the surface.
NasdaqGS:NVDA P/E Ratio as at Sep 2026
Broadcom is one of the clearest ways to access the US Federal AI and Defense Infrastructure theme, supplying custom chips, networking hardware and private cloud software that power AI data centers, secure communications and mission critical systems for both commercial hyperscalers and public sector buyers.
Broadcom generates about US$59.4b from Semiconductor Solutions and US$29.7b from Infrastructure Software, combining AI focused hardware with VMware powered private cloud tools. The stock carries a market value near US$1.71t.
Broadcom has become a key supplier behind the scenes of large AI and cloud platforms, which makes it highly relevant if federal agencies rely on those providers to build out any formal AI Force capability.
“Broadcom benefits from that outcome regardless of which AI model wins, which cloud provider gains share, or which software platform becomes dominant.”
The main question for investors is what happens to that broad advantage if a quiet shift in how customers build and secure AI infrastructure starts to matter more.
That quiet shift is exactly what the full narrative for Broadcom unpacks, showing where Broadcom’s AI and defense role could be accelerating or quietly capped.
NasdaqGS:AVGO P/E Ratio as at Sep 2026
Cerebras Systems is the pure-play AI hardware story in this screen, with wafer-scale processors built specifically for giant inference and training workloads that look a lot like the centralized government and defense AI projects investors are watching.
Cerebras Systems generates about US$680.7 million from Semiconductors and has a market value near US$47.1b, reflecting its role in dedicated AI compute infrastructure.
“Its Wafer-Scale Engine 3 (WSE-3) is a single, giant, uncut piece of silicon… By keeping the wafer intact, Cerebras keeps 44 gigabytes of lightning-fast SRAM memory mere nanometers away from the compute cores, which eliminates the severe latency penalties that occur when traditional GPUs have to retrieve data from external memory pools.”
The key issue for Cerebras Systems is what happens to that AI infrastructure promise if one unseen pressure on its economics suddenly bites.
That pressure is exactly what the full narrative for Cerebras Systems pulls apart so you can see whether Cerebras Systems’ wafer scale bet is accelerating or quietly constrained.
NasdaqGS:CBRS Earnings & Revenue Growth as at Sep 2026 Seeking Fresh Alternatives Before They Fly
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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.
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