2026-09-19 · Fuente:TechRadar

New Seagate research finds AI sharply raising storage demands, with nearly all respondents expecting AI-driven storage needs and costs to balloon while 43% say infrastructure falls short.
A new Seagate survey points to a widening gap between how much data AI workloads demand and how ready enterprise storage estates actually are. The research, highlighted by TechRadar, concludes that AI is increasing the value of data while sharply raising storage requirements. Nearly every respondent — 99% — expects AI-related storage demand, and the costs that come with it, to explode. Yet 43% of businesses say they lack adequate data storage infrastructure to handle the shift.
The findings land at a moment when storage has often been treated as an afterthought in AI planning, with attention fixed on accelerators and compute. Seagate's data suggests capacity, performance and cost trajectories are all moving in one direction: sharply upward. A near-universal expectation that AI storage spend will explode signals that planning assumptions built around traditional data growth may not hold once AI-scale workloads become the norm, pushing storage up the procurement agenda.
Beyond raw capacity, the survey flags unpreparedness on sustainability and data-management demands as well. Organizations, in other words, are not only short on infrastructure; they also lag on the practices needed to govern fast-growing volumes of AI-relevant data. That pairing — sharply rising requirements on one side, readiness gaps on the other — captures the central tension the study describes, and helps explain why the 43% infrastructure shortfall matters more now than it would have in a pre-AI context.
For AI compute buyers and investors, the message is that storage now belongs in the same conversation as GPUs and accelerators. With 99% of respondents forecasting a surge in AI storage needs and costs, and 43% conceding inadequate infrastructure, procurement teams face mounting pressure to modernize storage strategies before AI programs outgrow them — a dynamic that Seagate's own research frames as a market primed for rapid expansion.
Etiquetas: Seagate · Data Storage · AI Infrastructure · Storage Costs · Sustainability · Enterprise Data Management
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