95% of Enterprises Delay AI Projects as Infrastructure Gaps Spark 'Great Re-Architecture' — Cloudera, Inc.

Event summary

Cloudera's survey of 1,500 enterprise IT leaders reveals 95% delayed or canceled AI projects in the past year due to infrastructure limitations.
72% of organizations require significant data architecture overhauls to meet future AI demands.
66% have moved AI workloads from public clouds back to private cloud or on-premises infrastructure in the past year.
55% delayed or canceled more than six AI projects due to governance, compliance, or regulatory challenges.

The big picture

Cloudera's findings highlight a fundamental shift in enterprise IT architecture as organizations struggle to adapt legacy systems for modern AI demands. The 'Great AI Re-Architecture' trend underscores the need for hybrid environments that balance performance, governance, cost, and flexibility. This transition is critical as AI moves from pilot projects to embedded enterprise operations, with governance emerging as a foundational challenge for scaling secure AI solutions.

What we're watching

Hybrid Architecture Shift: The pace at which enterprises adopt hybrid-first architectures will determine AI scalability and cost efficiency.
Governance Complexity: How organizations manage increasingly distributed data environments while maintaining consistent governance across multiple platforms.
Infrastructure Costs: Whether the 84% of respondents reporting increased infrastructure costs can optimize spending without compromising AI performance.