Introduction
Artificial Intelligence (“AI”) and generative AI such as ChatGPT necessitate the need for substantial memory and storage capabilities for the storage of extensive datasets, training intricate models, and handling vast volumes of data processing.
Nvidia (NVDA) is the poster child of AI and generative AI through its GPU (graphical processing units) chips. GPUs are highly parallel processors designed for tasks like graphics rendering and general-purpose computing. In a data center, GPUs are increasingly used for accelerating complex computations, such as machine learning, deep learning, and scientific simulations.
But the storage of these extensive datasets is done through Hard Disk Drives (HDDs) and Solid State Drives (SSDs). HDDs and SSDs store the large datasets required for training generative AI models. HDDs provide high-capacity storage at a lower cost, while SSDs offer faster data access speeds. Data Retrieval: Fast data retrieval from SSDs significantly reduces the time it takes to load training data into memory for processing. This minimizes training bottlenecks caused by slow data access.
In other words, while GPUs have become the computational engine of AI, the enormous amount of data being created by AI applications is increasingly driving demand for high-capacity storage. That trend is now becoming obvious not only in hyperscaler data centers, but increasingly in pricing, margins, and equity performance across the storage industry.
In recent weeks, memory and storage have moved back to the center of the technology narrative, but the market response has been uneven. Both Seagate Technology Holdings (STX) and Western Digital (WDC) held their earnings calls in recent weeks. Along with new advances in hyperscaler AI infrastructure, the same conclusion was reached by both CEOs: AI-driven data growth is accelerating faster than many investors anticipated. The strong recent performance of storage-related stocks is shown in the Investor Summary of this article. It suggests investors are increasingly recognizing that AI infrastructure extends well beyond GPUs and into the long-term economics of data storage and retention.
The issue is no longer whether AI generates data, but how that data is stored and at what cost. Flash remains essential for high-performance layers, but capacity economics increasingly favor HDDs for training datasets, inference logs, cloud archives, and long-duration retention. As hyperscalers continue expanding AI infrastructure, the ability to store rapidly growing amounts of data economically is becoming increasingly important.
Seagate and Western Digital stand at the center of this transformation. Both companies are benefiting from AI-driven storage demand, but through different strategic models. Western Digital emphasizes execution, nearline scale, and pricing discipline. Seagate is positioning around areal density leadership through HAMR. The divergence between the two is increasingly reflected in how investors are valuing long-term storage growth tied to AI infrastructure.
Exabyte Growth Resets the Industry Baseline
According to Chart 1, total HDD exabyte shipments resumed a sustained upward trajectory following the 2023 downturn, surpassing 450 exabytes by late 2025 and remaining elevated into 2026. All data in this article comes from my report entitled “The Hard Disk Drive (HDD) and Solid State Drive (SSD) Industries: Market Analysis And Processing Trends,” which can be previewed on my website at The Information Network.
What defines this expansion is not simply magnitude, but composition. Unit shipments remain structurally lower, yet total capacity continues to increase. Each drive carries more data, altering pricing dynamics and capital discipline across the industry.
For both Seagate and Western Digital, this shift decouples revenue from unit volatility. The key question is no longer how many drives ship, but how effectively each company converts capacity growth into pricing power and margin expansion.
Chart 1
Revenue Recovery Reflects Different Operating Models
According to Chart 2, HDD revenues recovered sharply through 2024 and stabilized above $6 billion per quarter into early 2026.
Western Digital’s recovery reflects disciplined execution. Nearline volume leadership, improved pricing, and restructuring benefits are translating into steadier cash generation and stronger operating leverage.
Seagate’s recovery reflects mix. Higher-capacity drives and early HAMR adoption are driving ASP expansion and improving revenue quality. While historically more volatile, Seagate’s financial profile is becoming increasingly leveraged to areal density gains.
The divergence is clear. Western Digital monetizes scale and operational execution, while Seagate monetizes technology progression and density leadership.
Recent earnings calls reinforced this trend. Both companies indicated that hyperscaler customers continue to prioritize high-capacity storage deployments despite broader macro uncertainty in technology spending.
Chart 2
Nearline Dominance Benefits Both—but Unevenly
Nearline HDDs are known for their high storage capacities. They are often used in data center environments and enterprise storage systems to store large amounts of data that doesn’t need to be accessed as frequently as data stored on SSDs.
According to Chart 3, nearline HDDs now account for roughly 90 percent of industry exabyte shipments, defining the modern HDD market.
Western Digital remains the volume leader, supported by hyperscaler relationships and UltraSMR deployment. This provides near-term revenue visibility and utilization stability.
Seagate continues to gain share through HAMR-based platforms. While shipping fewer units, its higher-capacity drives provide greater long-term leverage as hyperscalers increasingly optimize around rack efficiency, power consumption, and total cost per stored exabyte.
Nearline dominance supports both companies, but through different mechanisms—scale versus density.
Chart 3
Legacy Segments Continue to Dilute Differently
According to Chart 4, non-nearline segments have declined to a low-teens percentage of total industry exabytes and continue to contract.
Western Digital’s greater historical exposure to client and consumer HDDs reinforces the importance of nearline execution. Continued erosion in legacy segments remains a structural headwind.
Seagate’s concentration in enterprise and nearline markets reduces this drag. As a result, mix improvements translate more directly into margin expansion and free cash flow leverage.
The decline of legacy HDD markets is no longer cyclical. It is structural, rewarding companies positioned around cloud infrastructure while penalizing exposure to shrinking consumer segments.
Chart 4
Equity Markets Are Revaluing Storage Economics
According to Chart 5, Seagate and Western Digital shares have significantly outperformed their own long-term trendlines in recent months, indicating sustained institutional accumulation rather than short-term cyclical momentum.
Seagate shares have appreciated nearly 189 percent versus approximately 94 percent growth in its 200-day moving average. Western Digital has gained nearly 180 percent versus approximately 131 percent growth in its long-term trendline.
What is important is not simply the magnitude of the gains, but what they imply about investor perception. The market is increasingly revaluing storage economics around AI infrastructure demand rather than traditional PC and enterprise replacement cycles.
This distinction matters because the current cycle is not being driven by unit growth. It is being driven by pricing discipline, capacity optimization, hyperscaler demand visibility, and increasing economic value per stored exabyte.
The recent earnings calls reinforced that shift. Both companies discussed strong cloud demand, improving pricing environments, as well as a continued deployment of high-capacity nearline storage into AI infrastructure environments.
As shown above in Charts 1-3, growth is across all segments. In other words, this is no longer a theoretical AI storage thesis appearing only in exabyte shipment charts. It is increasingly visible in revenue growth, margins, pricing, and equity performance.
Chart 5
Technology Paths Separate Long-Term Outcomes
The most consequential difference between Seagate and Western Digital remains technology.
Seagate’s HAMR platform enables step-function increases in areal density, with 30TB+ drives entering broader deployment and a visible path toward 40TB-class products. This positions Seagate for long-term cost-per-terabyte leadership as hyperscalers continue scaling AI infrastructure.
Western Digital’s UltraSMR strategy delivers incremental capacity gains with lower complexity and strong near-term execution. However, its longer-term scaling potential remains more limited until its own HAMR roadmap matures.
This is not a question of correct versus incorrect strategy. It is a difference in time horizon. Western Digital is optimized for current-cycle execution and operational consistency. Seagate is positioning for longer-term density leadership.
Investor Takeaway
What has changed since earlier analysis is not the thesis, but the evidence behind it.
The HDD industry is no longer defined by unit shipments or cyclical recovery patterns. It is increasingly defined by exabyte growth, cost-per-terabyte efficiency, and hyperscaler-driven AI infrastructure demand. AI has reset storage economics around capacity and retention rather than traditional enterprise refresh cycles.
Western Digital represents execution within this framework. Its nearline leadership, pricing discipline, and operational improvements provide investors with lower-risk exposure to current demand trends.
Seagate represents leverage. As HAMR adoption expands, the company is positioned to capture disproportionate economic value from areal density leadership and long-term capacity scaling.
The most important shift, however, may be occurring in market perception itself. Storage is no longer being valued solely as a mature legacy segment. Increasingly, investors are treating high-capacity storage as a core layer of AI infrastructure, with stronger visibility than many other parts of the semiconductor and memory ecosystem. This perception is recognized in the performance of the stocks of STX and WDC.
The question for investors is no longer whether AI benefits storage. The question is how far the market still underestimates the long-term economics of storing, retaining, and managing exponentially expanding AI-generated data.
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