95% of enterprises just admitted they can't run AI. Their architectures are the problem.

95% of enterprises delayed or canceled AI projects in the past year.

Not because the models weren't good enough.

Because their data infrastructure couldn't handle them.

Cloudera surveyed 1,500 enterprise architects and infrastructure leads worldwide. The numbers are a wake-up call.

72% say their current data architecture requires a significant overhaul to meet AI demands.

84% report increased infrastructure costs driven by AI workloads.

And here's the move that should alarm every cloud vendor: 66% of organizations moved AI workloads FROM public cloud back to private cloud or on-premises in the past year.

The Great AI Re-Architecture isn't a buzzword. It's a migration.

Governance is the bottleneck nobody budgeted for. 73% say AI made data governance more complex. 55% delayed or canceled more than six AI projects because of compliance and regulatory challenges.

The enterprises winning at AI aren't the ones with the best models. They're the ones who rebuilt their data foundations first.

Audit your data architecture today. If your governance can't keep pace with your AI ambitions, you're building on sand.

SOURCE: https://enterpriseit.news/95-of-enterprises-delayed-ai-projects-as-infrastructure-limitations-spark-the-great-ai-re-architecture/
VERIFIED: Enterprise IT News (Aug 19, 2026), Cloudera survey report "The Great AI Re-Architecture" (1,500 respondents globally)
SIGNAL: This is the infrastructure reality check the AI hype cycle doesn't want you to see. 95% project delays means the bottleneck isn't models or talent — it's the pipes underneath.