AI trade crowded around NVIDIA, but analysts point to storage picks as the demand story widens

NVIDIA remains the headline name in AI, but investors who are already “owning the winner” may be overlooking companies closer to the next bottleneck: storing the data that AI systems generate and consume. In a market-focused piece published by Yahoo Finance on July 16, the argument is that attention has concentrated on NVIDIA’s growth, even as demand for storage capacity rises alongside the broader buildout of AI infrastructure.

The article highlights Western Digital and Seagate as potential beneficiaries of that trend. It characterizes both companies as riding an AI-driven storage demand wave, citing what it calls strong revenue outlooks, improving margins, and expectations for earnings growth. The core takeaway is less about a new product cycle and more about where AI spending lands after semiconductors, in the form of memory and disk capacity required for data-heavy workloads.

While the note frames these stocks as “smaller” relative to NVIDIA, it emphasizes operating momentum rather than purely valuation. In other words, the storage providers are presented as companies that could convert AI-driven demand into financial performance, with margin expansion and earnings growth supporting further upside. The article does not lay out a detailed model of how demand translates to specific unit sales, pricing, or capacity utilization in the excerpt available for this story.

Storage demand is closely tied to how AI systems are trained and deployed. Training runs typically involve large-scale data sets, and inference deployments can require substantial ongoing data pipelines for logging, retrieval, and analytics. As data centers expand to keep up with AI workloads, storage suppliers can see incremental orders for drives and related infrastructure, which in turn can support higher revenues if supply and pricing dynamics cooperate.

For NVIDIA, the market narrative often centers on graphics processing units and accelerated computing platforms used to run AI workloads, particularly in data centers. NVIDIA’s investor visibility can pull capital toward the semiconductor layer of the stack, sometimes leaving other parts of the infrastructure less discussed. Still, NVIDIA itself has long positioned its platform approach as a full stack spanning data center systems and software, and the market tends to treat infrastructure spending as interconnected even when beneficiaries are different companies within that chain.

The key uncertainty is the level of specificity behind the storage thesis in the July 16 note. The available information does not include company-by-company figures such as expected revenue growth rates, margin targets, or timeframes for when AI-related storage demand is expected to peak or normalize. It also does not identify the particular drivers within storage that matter most, such as hyperscaler spending patterns, enterprise adoption, or shifts in drive mixes, so readers are left with a directional view rather than a quantified roadmap.

Until more detailed disclosures are reviewed, the most prudent way to interpret the storage angle is as a scenario-driven complement to the dominant NVIDIA narrative. If AI data center investment continues, storage capacity needs may keep rising, supporting the operational trends the market piece points to. But if spending slows, if pricing weakens, or if the storage demand mix changes, the margin and earnings benefits described in the note could prove less durable than investors expect. The next meaningful check will be each company’s reporting on revenue, margins, and guidance, alongside any indicates from customers about storage purchasing cadence.

In the meantime, the market will likely continue to balance two impulses at once. One is the draw toward NVIDIA as the perceived growth engine for AI compute. The other is the search for “picks and shovels” that capture adjacent spend. The Yahoo Finance piece argues that Western Digital and Seagate are among the most direct places to look for that spillover, though the full investment debate will turn on the next set of results and any updates to demand visibility.