A new study by Seagate Technology, the 2026 Data Infrastructure Readiness Report, reveals that artificial intelligence is significantly increasing data storage requirements for organizations. The report found that 99% of IT leaders anticipate AI will lead to greater storage needs within the next three years, with 32% expecting more than a 50% increase in demand.
Despite the projected surge in storage needs, only 38% of organizations believe their current infrastructure is equipped to handle the expansion. This indicates that 62% of businesses are unprepared for the growing data demands associated with AI adoption, creating a gap between AI implementation and the underlying data infrastructure required.
The research, conducted by Recon Analytics for Seagate, surveyed 2,712 enterprise technology decision-makers across seven countries during May and June 2026.
The most frequently cited challenge for deploying AI is data quality and readiness, reported by 53% of respondents. Storage infrastructure was the second most common challenge, cited by 43% of respondents. These issues were reported at higher rates than other concerns such as compute availability (27%) and energy constraints (24%).
The report also notes that 86% of organizations are currently seeing moderate or significant returns on their AI investments. This indicates that while AI is delivering value, many organizations are struggling with the foundational infrastructure necessary to support its continued growth and maximize its benefits.
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A Seagate Technology report indicates that 62% of organizations are not prepared for the increased data storage demands driven by AI, despite 99% of IT leaders expecting storage needs to rise. This highlights a growing gap between AI adoption rates and the necessary data infrastructure to support it, with data quality and storage infrastructure being primary challenges.