Enterprise AI hits the wall: NTT DATA research reveals growing privacy and sovereignty barriers
NTT DATA released new research showing that enterprise AI is outgrowing the architecture and infrastructure beneath it as data privacy and sovereignty requirements tighten. The research finds a widening split between enterprises that are redesigning AI for control, locality and security, and organisations still layering AI into environments that were not built to support these requirements.
For years, enterprise architecture moved data across systems, clouds, applications and borders with increasing speed and efficiency. AI is exposing the limits of that model. Sensitive data must be protected, workloads must run inside defined jurisdictions, and models must be governed under tighter controls. Data cannot always move with the speed and fluidity many AI systems expect, making jurisdiction a core architectural constraint. As a result, private and sovereign AI have become critical considerations.
NTT DATA’s 2026 Global AI Report: A Playbook for Private and Sovereign AI reveals a gap between what organisations know...
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