In this article, we look at the 10 Fastest-Growing AI Infrastructure Stocks to Buy.
AI infrastructure has become one of the clearest revenue-growth engines in the technology market, driven by the buildout of compute, storage, memory, networking, power, cooling, and data-center capacity needed to train and run increasingly large AI models. IDC expects global AI infrastructure spending to reach $487 billion in 2026, up about 53% year-over-year, even after the market’s unusually sharp expansion in 2025. Gartner has also forecast worldwide AI spending to rise 47% in 2026, with AI-optimized servers and broader infrastructure buildouts accounting for a major share of that growth.
The scale of the investment cycle is now large enough to reshape several hardware and industrial supply chains at once. Dell’Oro Group expects global data-center capital expenditure to approach $1 trillion in 2026 and reach $1.7 trillion by 2030, largely because AI workloads require denser, faster, and more power-hungry infrastructure than traditional cloud computing. This has pushed growth beyond the most visible chipmakers and into memory, optical components, interconnects, servers, storage, contract manufacturing, and electrical equipment. For investors, the key question is no longer whether AI infrastructure is growing, but which companies are converting that spending boom into the fastest revenue growth without taking on unsustainable financial strain.
Methodology
For this article, we screened AI infrastructure companies across chips, servers, storage, networking, data-center equipment, cloud infrastructure, power, and cooling. We then selected the stocks with the highest reported year-over-year revenue growth. Companies with unusually heavy balance-sheet stress, large losses, or other material concerns were omitted from the list.
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10. Amphenol Corporation (NYSE:APH)
Amphenol Corporation (NYSE:APH) is one of the fastest-growing AI infrastructure stocks to buy. On June 11, 2026, Evercore reiterated Amphenol as a top AI data center infrastructure pick, pointing to its role in high-speed interconnects, connectors, cables, and power products used across increasingly dense AI systems. That is a strong investor angle, because it frames Amphenol as a picks-and-shovels supplier to the AI buildout rather than a peripheral electronics name.
The company’s recent results support that view. In the first quarter of 2026, Amphenol reported sales of $7.6 billion, up 58% year-over-year, while organic sales rose 33%. Orders increased 78% to a record $9.4 billion, giving the company a 1.24:1 book-to-bill ratio. Amphenol also generated $1.1 billion in operating cash flow and $831 million in free cash flow, which gives its AI infrastructure growth story more financial backing than more leveraged names in the space.
Amphenol Corporation (NYSE:APH) designs and manufactures interconnect, sensor, antenna, cable, and connectivity products for information technology, datacom, automotive, industrial, aerospace, defense, broadband, and mobile network markets.
9. NVIDIA Corporation (NASDAQ:NVDA)
NVIDIA Corporation (NASDAQ:NVDA) is one of the fastest-growing AI infrastructure stocks to buy. In its fiscal Q1 2027 results, NVIDIA reported revenue of $81.6 billion, up 85% year-over-year, while data center revenue rose 92% to $75.2 billion.
On June 16, 2026, NVIDIA said NVIDIA XR AI was available in public beta, giving developers a framework for building multimodal AI agents for AR glasses and XR devices.
The release extends NVIDIA’s AI infrastructure story beyond hyperscale training clusters into edge and physical AI, where agents need low-latency inference, video and audio perception, enterprise retrieval, and orchestration across cloud, data center, and on-device systems. NVIDIA said the library connects XR device inputs with models, enterprise data, tools, and accelerated computing, while integrating services such as Metropolis, NeMo Retriever, Nemotron, Cosmos Reason, and DGX/RTX PRO systems.
Early use cases cited by the company include Siemens factory maintenance research, lab workflows from Rana’s LabOS, and surgical-assistance work at UPMC.
NVIDIA Corporation (NASDAQ:NVDA) provides accelerated computing platforms, chips, systems, and software for AI, data centers, digital twins, gaming, professional visualization, automotive, robotics, and other high-performance computing markets.
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