Most Organizations Have Stalled AI Infrastructure Growth
A new industry report highlights that energy and sustainability concerns are forcing enterprises to rethink data storage.
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 report finding that while 99% of IT leaders expect AI to increase storage needs, only 38% feel prepared to manage the demand. The analysis follows a global survey of 2,712 technology decision-makers who cite energy constraints and data readiness as primary hurdles.
Why it matters
Enterprises are currently caught between the need to scale data infrastructure for AI and the operational limits imposed by energy requirements. This tension explains why 77% of organizations have recently restructured or delayed their expansion plans.
Data indicates that 32% of IT leaders anticipate storage demand growth exceeding 50% over the next three years, yet 53% point to data quality as a fundamental barrier to successful deployment. These figures contrast with the 38% of firms currently reporting readiness to handle the load.
The players
Seagate Technology
A global leader in mass-capacity data storage solutions, known for developing hard drives and solid-state storage systems for enterprise AI and cloud environments.
Recon Analytics
A research firm specializing in analyzing the behavior and strategic investment patterns of enterprise technology decision-makers across global markets.
The details
Organizations are attempting to address these bottlenecks through a combination of revamped data strategy, refined governance, and targeted investment in data centers, which 76% of firms now rank as a top-three priority. The process involves shifting toward more sustainable architectures to circumvent the energy concerns causing current project stalls. This approach is intended to prepare systems for the rapid growth in storage requirements predicted by 99% of surveyed leaders.
Timeline
May and June 2026: Recon Analytics conducted the global survey of enterprise decision-makers.
September 14, 2026: Seagate published the Data Infrastructure Readiness Report.
Next three years: IT leaders anticipate a surge in organizational data storage needs.
Next five years: Firms expect their storage operations will transition to more sustainable models.
The Tech Race
The current pivot toward energy-conscious AI infrastructure marks a departure from the unconstrained deployment patterns seen during the 2020 pandemic-era cloud infrastructure migration. While companies continue to chase performance, the focus is shifting from simple capacity expansion to sustainable scaling models.
IT professionals and enterprise architects should expect ongoing shifts in internal data policies as companies move to balance performance with energy constraints. Organizations that fail to address data quality as a precursor to infrastructure investment may face continued delays in their AI rollouts.
The takeaway
Enterprise AI initiatives are hitting an energy and infrastructure ceiling that is forcing a revaluation of current growth strategies. Watch for companies announcing new sustainability benchmarks or energy-efficient storage hardware in the coming quarters to validate their revised deployment plans.
Further reading
For broader trends in scaling enterprise systems, explore our Artificial Intelligence section.
Live Poll
Is now a good time for businesses to aggressively expand their AI-based operations?
