Used hard drives are selling at higher prices across many resale markets as buyers look for alternatives to new, high-capacity enterprise drives that have become harder to source. Recent company commentary and industry research point to AI-related infrastructure demand tightening availability for high-capacity nearline HDDs, with some production committed under long-lead-time ordering models. TrendForce has reported nearline HDD lead times extending beyond 52 weeks, a delay that can push more buyers into secondhand channels.
AI Workloads Are Draining New Drive Supply
The core mechanism behind rising used drive prices is straightforward: new drives are not available fast enough to meet demand, so buyers turn to the secondary market and bid prices up. The demand side of this equation is dominated by AI infrastructure buildouts at hyperscale data centers, which require enormous volumes of high-capacity nearline hard drives for storing training data and inference outputs. Western Digital, one of the world’s two major HDD producers, reported quarterly revenue of $3.017 billion for its fiscal second quarter ending January 2, 2026, a 25% increase year over year. The company posted a GAAP gross margin of 45.7% and operating income of $908 million, reflecting strong pricing power in a market where buyers have limited alternatives.
Western Digital attributed this performance to what it called the “AI-driven data economy,” a phrase that captures how generative AI applications have reshaped storage purchasing patterns. Free cash flow hit $653 million in the same quarter, underscoring that the company is not struggling to move inventory; it is selling everything it can produce at margins that would have looked exceptional just two years ago. When original equipment manufacturers and cloud providers absorb the full output of new production lines, the downstream effect is predictable: refurbished and used drives become the pressure valve, and prices in those channels rise accordingly as smaller buyers fight over whatever capacity remains.
Factory Output Locked Up Through 2026 and Beyond
The supply side of the equation is equally tight. Seagate Technology, Western Digital’s primary competitor, said during its Q1 FY2026 earnings call that high-capacity nearline production is “largely committed” under build-to-order arrangements through calendar 2026. Seagate leadership also described visibility extending into 2027, meaning the company’s factory capacity is effectively spoken for by a small number of large customers placing orders well in advance. This build-to-order model, where drives are manufactured against confirmed purchase commitments rather than built speculatively for open-market sale, leaves almost no surplus inventory to flow into distribution channels or the used market through normal equipment refresh cycles.
That dynamic matters because a significant share of used enterprise drives historically enters the secondary market when data centers retire equipment after three to five years of service. If those same data centers are now holding onto drives longer because replacements are hard to secure, the supply of quality used drives shrinks at the same time demand for them grows. The result is a bidding war in resale channels that pushes prices well above historical norms for equivalent capacity and condition. Smaller cloud providers, regional hosting companies, and IT asset disposition firms that once relied on predictable refresh schedules are now competing directly with value-conscious enterprises and even individual buyers for any batch of decommissioned drives that hits the market.
Lead Times Signal a Structural, Not Cyclical, Shortage
Industry research firm TrendForce has quantified the bottleneck in stark terms: nearline HDD lead times have ballooned to more than 52 weeks. A year-long wait for some high-capacity nearline enterprise drives is more than a routine supply hiccup; it suggests a mismatch between available capacity and demand that built up over time. According to TrendForce, major HDD makers have not expanded production capacity recently, a deliberate choice that kept margins healthy during a period of soft demand but left the industry unable to ramp quickly when AI spending accelerated. Even as orders surged, the physical constraints of cleanroom space, component supply, and engineering talent limited how fast output could grow.
This is where the standard narrative about storage shortages deserves some pushback. The conventional framing treats the current squeeze as an unexpected consequence of AI growth. But one interpretation is that limited recent capacity expansion left the industry less able to ramp quickly when demand accelerated. In that view, the shortage can become self-reinforcing: strong pricing and long-term commitments can make it easier to prioritize margin and contracted volume over rapid capacity additions. The used market, in this context, is absorbing the cost of an investment gap that predates the AI boom by several years, and it will take time for any new capacity decisions made today to translate into additional drives circulating in secondary channels.
Trade Data Points to Global Price Pressure
The price effects are not confined to any single region. The trade statistics published by the United States International Trade Commission for 2025, accessible through its DataWeb platform, offer a way to track how import and export flows for storage hardware change over time. However, without citing specific tariff lines and unit-value figures here, those datasets can only be used as contextual background rather than direct proof of resale-price moves. The clearer, source-linked signals in this story come from manufacturers’ commentary and TrendForce’s reported lead times for nearline HDDs.
For businesses that rely on used drives to keep storage costs manageable, particularly small and midsize firms running on-premises servers, the implications are direct and painful. In practical terms, buyers report paying meaningfully more for comparable used capacity than they did a year or two ago, and availability at any price can be less certain. IT managers who once treated capacity upgrades as routine maintenance are now forced to plan months ahead, pre-purchasing spares or delaying projects that require large data stores. Cloud storage costs, which are ultimately tied to the same underlying hardware economics, face upward pressure as well, especially for archival and object storage tiers that depend heavily on nearline HDDs. Companies that assumed storage would continue getting cheaper on a per-terabyte basis are being forced to revisit budgets, procurement strategies, and even data retention policies.
SSDs Offer a Partial Escape, Not a Full Solution
TrendForce has also flagged QLC SSD shipments as a potential growth area in 2026, suggesting that some enterprise buyers may shift workloads to solid-state storage as HDD availability remains constrained. QLC, or quad-level cell, technology stores more data per chip and has been closing the cost gap with hard drives in certain use cases. For read-heavy AI inference workloads, SSDs can offer performance advantages that justify a price premium even when HDDs are scarce. Some organizations are responding to HDD shortages by accelerating migrations to all-flash arrays for latency-sensitive applications, reserving their limited hard drive capacity for colder data that cannot justify SSD pricing.
Yet solid-state storage is not a complete substitute. QLC drives typically have lower write endurance than enterprise HDDs, making them less suitable for constant-ingest logging, large-scale training data pipelines, or backup workloads that involve frequent overwrites. The manufacturing ecosystem for NAND flash is also subject to its own boom-bust cycles, and a rapid swing in demand from HDDs to SSDs could create new bottlenecks rather than resolving the existing ones. For many buyers, the most realistic strategy in the near term is a hybrid approach: aggressively optimize data placement across HDDs and SSDs, extend the life of existing hard drives through careful monitoring and redundancy, and treat used drives as a scarce asset that must be vetted thoroughly before being trusted with critical workloads.
In the meantime, the economics of storage are being rewritten. AI has transformed high-capacity drives from a commoditized afterthought into a strategic resource, and the secondary market is feeling the shockwaves. Unless manufacturers commit to meaningful capacity expansions and follow through over several years, used hard drives are likely to remain expensive, and organizations that depend on cheap spinning disks will need to adapt their architectures and expectations accordingly.
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*This article was researched with the help of AI, with human editors creating the final content.
