Seagate Released Enterprise AI Infrastructure Report
Most global IT leaders lack the storage infrastructure needed for growing enterprise AI data demands.
Updated on Sept. 18, 2026 in Artificial Intelligence
Live Poll
Is now a good time for businesses to aggressively expand their AI-based operations?
Seagate Technology has published a new report detailing that while AI adoption yields returns for 86% of organizations, many businesses remain unprepared for the surge in storage requirements. A majority of IT leaders reported that their existing infrastructure is insufficient to support future AI data scaling.
Why it matters
As enterprise AI adoption increases data storage requirements, firms are struggling to balance expansion with sustainability and energy constraints. This infrastructure gap threatens to stall the progress of companies currently reporting significant gains from their AI investments.
Only 38% of organizations report they are currently prepared to meet AI storage demands, with 32% of IT leaders projecting that total capacity needs will grow by more than 50% over the next three years.
The players
Seagate Technology
Seagate Technology is a major American data storage company that manufactures hard disk drives and data storage solutions.
Recon Analytics
Recon Analytics is a research and consulting firm that provides data-driven insights into the technology and telecommunications industries.
The details
The report indicates that 53% of enterprises identify data quality as a primary hurdle to deployment, while 43% point to limitations in storage infrastructure. Despite these challenges, 76% of firms have prioritized data center investments to accommodate their growing AI workloads.
Timeline
May and June 2026: Recon Analytics conducted the global survey of 2,712 decision-makers.
September 14, 2026: Seagate published the Data Infrastructure Readiness Report.
Next three years: IT leaders expect a significant increase in organizational storage needs.
Next five years: 94% of respondents anticipate their storage operations will become more sustainable.
The Tech Race
This report follows a pattern set by the Recon Analytics enterprise infrastructure survey series by quantifying the specific gaps between current data center capabilities and projected AI storage requirements. These findings highlight a critical pivot in the tech race, where infrastructure readiness has become as vital as algorithmic sophistication for sustained enterprise AI success.
The findings suggest that organizations will likely increase their focus on data center upgrades, which could lead to shifts in software service reliability and pricing for enterprise clients. Users may experience improved AI performance as companies prioritize data quality and infrastructure expansion to meet these operational requirements.
The takeaway
Enterprises must address the friction between rapid AI scaling and the realities of sustainable energy usage to maintain their competitive edge. Data quality and robust storage architecture are no longer optional background tasks but central pillars of successful AI deployment.
Further reading
For more information on current industry developments, visit our Artificial Intelligence section.
Live Poll
Is now a good time for businesses to aggressively expand their AI-based operations?
