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Cloudera Anywhere Cloud Powers Agentic AI Era
Cloudera’s new global survey, *The Great AI Re-Architecture*, reveals that legacy data architectures are forcing enterprises to overhaul IT infrastructure to meet the demands of scalable and secure AI, marking a fundamental shift toward hybrid cloud environments. The report, based on responses from 1,500 enterprise architects and data leaders, shows that while 77% of organizations actively use AI, 95% have delayed or canceled AI initiatives in the past year due to data governance, compliance, or regulatory hurdles. Consequently, 72% state their current data architecture requires significant changes to support future AI requirements, underscoring that existing infrastructure was not built for modern AI workloads. The findings highlight a mass transition from legacy systems to hybrid architectures, driven by the need to bring trusted AI to data wherever it resides. Key data points show that 75% of respondents say AI has altered their data storage and architecture practices, while 84% report increased infrastructure costs from AI workloads. Governance remains a critical challenge, with 73% noting AI has made data governance more complex and 55% delaying over six AI projects in the past year due to compliance issues. As data becomes increasingly distributed—97% move data between environments monthly—consistent governance across cloud, private cloud, and on-premises is essential. The survey also signals a shift away from public cloud dominance, as 66% of organizations have moved AI workloads back to private or on-premises infrastructure. Looking ahead, 25% plan to prioritize a hybrid-first architecture over the next two years, emphasizing flexibility over a single deployment model. Cloudera’s CTO, Sergio Gago, notes that success depends on building a data foundation that allows AI to run where it performs best without compromising control or security. The research was conducted by Wakefield Research across nine markets between June 5-22, 2026.