Businesses are finally seeing returns on AI investment, but a Seagate study finds that infrastructure is struggling to keep up. Among IT leaders, 99% expect AI to increase data storage needs, yet only 38% are prepared to meet them. That leaves 62% unable to handle the storage demands, a significant readiness gap.
Separate reporting from The Register points to a related bottleneck: legacy IT. Mainframes and older hardware often hold the data and business logic that AI services depend on. As AI investment grows, enterprises are having to sweat these assets. Both the storage study and the legacy-IT report agree that AI's expansion is outpacing the infrastructure needed to support it.
A third piece from Sifted examines a different dimension: how AI is redefining corporate cyber-readiness. Where the other sources focus on data capacity and legacy systems, this one centres on security preparedness and risk. Together, the three stories show that AI's business impact is being felt across storage, infrastructure, and defence.