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3 AI Infrastructure Stocks Investors Are Watching As Data Center Spending Climbs
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AI infrastructure has become the market’s main character, with GPU makers, datacenter operators and cloud platforms pulling the S&P 500 to fresh records while much of the market lags under higher rates and rising bond yields. That split is creating both excitement and risk. This piece explains how those crosscurrents relate to AI spending and outlines 3 stocks investors are watching most closely right now.

The three stocks below are just a sample of the AI infrastructure beneficiaries investors are watching, and the full screen surfaced 72 more companies with equally compelling narratives that this article does not cover. If you want to go straight to the source and identify your own highest conviction ideas, head into the AI Infrastructure Beneficiaries (Chips, Datacenters, and Cloud Platforms) screener.

Monolithic Power Systems (MPWR)

Overview: Monolithic Power Systems designs power management chips that feed GPUs, AI accelerators, and cloud servers, helping data centers run high performance workloads efficiently.

Operations: The business generates about US$3.3b from semiconductors, with large contributions from China at US$1.7b and Taiwan at US$771m.

Market Cap: US$72.7b

MPWR is one of the purest plays on the power side of AI infrastructure, supplying the circuitry that lets GPU clusters scale without blowing through energy and thermal limits.

Investor optimism appears anchored in Monolithic Power Systems' exposure to accelerating AI adoption in data centers, and the company has since reported Enterprise Data growth that management now floors at 130% year over year with data center related exposure approaching roughly 50% of revenue, which could support further revenue and earnings expansion if these workloads continue to require higher power density and more complex solutions.

The real swing factor is how one pressure on future capacity planning ultimately feeds through to profitability and AI power demand.

That pressure point is exactly where the full narrative for Monolithic Power Systems connects AI demand, margin risk, and the question of how long data center power spending can keep accelerating.

NasdaqGS:MPWR Earnings & Revenue Growth as at Oct 2026
NasdaqGS:MPWR Earnings & Revenue Growth as at Oct 2026

Advanced Micro Devices (AMD)

Overview: Advanced Micro Devices develops CPUs, GPUs, AI accelerators and adaptive computing platforms that power data center AI training, inference and cloud infrastructure.

Operations: AMD generates about US$39.3b in revenue, with US$22.2b from Data Center, US$11.8b from Client, and smaller contributions from Gaming and Embedded.

Market Cap: US$1,031.3b

AMD is effectively the second pillar of AI compute in this screener, giving you exposure to both GPUs and the server CPUs that feed modern agentic workloads inside hyperscale data centers.

Multi gigawatt, multi generation Helios rack scale AI system commitments from large customers such as OpenAI, Meta and Anthropic, combined with staged production ramps from late Q3 2026 through 2027, give AMD a path to secure data center AI revenue streams.

What ultimately matters for investors is how one unresolved balance between pricing power and cost inflation shapes those AI driven margins.

That margin tug of war is exactly what the full narrative for Advanced Micro Devices unpacks, tracing where accelerating AI demand could widen profitability and where rising costs might quietly cap the upside.

NasdaqGS:AMD Earnings & Revenue Growth as at Oct 2026
NasdaqGS:AMD Earnings & Revenue Growth as at Oct 2026

Arm Holdings (ARM)

Overview: Arm Holdings licenses CPU and related chip designs that power AI data centers, edge devices, and accelerators across global computing infrastructure.

Operations: Arm generates about US$5.2b from semiconductor equipment and services, with key markets in the United States, Japan, China, Taiwan, Korea and other regions.

Market Cap: US$323.5b

Arm Holdings is the pure architecture play in this AI infrastructure screen, since its designs sit inside many of the GPUs, accelerators and cloud CPUs that are pulling so much capital into new data centers.

The first driver is AGI CPU execution. This is the single most important catalyst.

What happens to Arm’s AI royalty run rate and data center economics if a single assumption in that AGI CPU rollout timeline shifts?

That hinge point is exactly what the full narrative for Arm Holdings unpacks. It maps how Arm Holdings’ AGI CPU bets could accelerate royalties while also spotlighting where execution risk might quietly cap the payoff.

NasdaqGS:ARM Earnings & Revenue Growth as at Oct 2026
NasdaqGS:ARM Earnings & Revenue Growth as at Oct 2026

Seeking Alternatives Beyond AI Infrastructure

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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.

Disclaimer:This article represents the opinion of the author only. It does not represent the opinion of Webull, nor should it be viewed as an indication that Webull either agrees with or confirms the truthfulness or accuracy of the information. It should not be considered as investment advice from Webull or anyone else, nor should it be used as the basis of any investment decision.
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