Sasha Jovanovic
4 min read
Recent cyber security alerts around a critical PHP flaw show how quickly the digital world can be knocked off balance when core infrastructure cracks. That same urgency is pushing capital toward the physical backbone that keeps AI running, from power hungry data centers to chips that need serious cooling. This piece breaks down three stocks tied to that build out, drawn from a curated AI infrastructure screen.
The stocks highlighted below are just a sample of the AI infrastructure theme, and the full screen surfaced 52 more companies with equally compelling narratives that are not covered in this article. To go deeper into the AI build out, identify potential frontrunners, and analyze them side by side, head straight into the AI Infrastructure Stocks screener.
NVIDIA (NVDA)
NVIDIA is the clearest pure play on the AI infrastructure build out, with its chips and software effectively turning data center electricity and floor space into AI compute capacity that customers rent by the token and by the minute.
NVIDIA runs two main lines of business, with Compute & Networking tied to AI data centers generating about US$275.4b and Graphics contributing roughly US$27.6b, and the group carries a market value near US$5,359.9b.
“$400b annual revenue assumes Nvidia continues to be dominant in GPU design and AI software stack. Successful competition from AMD, Intel, or a Chinese firm could undermine this.”
Everything hinges on how long customers are willing to keep paying current prices for ever more compute before that single pressure shifts.
That pricing pressure is exactly what the NVIDIA story tries to get ahead of in the full narrative for NVIDIA, including where competition or demand shocks could accelerate shifts.
Cerebras Systems (CBRS)
Cerebras Systems builds the heavy compute gear that turns AI ambitions into actual data center capacity, with its wafer scale chips and rack scale systems supplying the kind of dense infrastructure this screener targets.
Cerebras generates about US$680.7 million from semiconductors tied to its AI compute platform, and the stock carries a market value near US$25.9b.
“In March 2026, AWS integrated Cerebras CS-3 systems directly into Amazon Bedrock, solving a classic engineering headache by splitting the inference workload into two parts and delivering up to a 15x speed improvement over monolithic GPU setups.”
What ultimately matters for investors is how one crucial dependency shapes future pricing power and the conversion of that demand into lasting cash flow.
