NTT DATA’s new research 2026 Global AI Report: A Playbook for Private and Sovereign AI, revealing that enterprise AI is outgrowing the architecture and infrastructure beneath it as data privacy and sovereignty requirements tighten.
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.
The research finds a widening split between enterprises that are redesigning AI for control, locality and security, and organizations still layering AI into environments that were not built to support these requirements.
“As AI evolves, private and sovereign approaches are testing enterprise readiness,” said Abhijit Dubey, CEO and Chief AI Officer, NTT DATA, Inc. “The organizations that are succeeding are going beyond regulatory compliance and risk mitigation.
They are building the operating foundation for AI that can perform across markets, jurisdictions and business environments. Our research shows AI leaders are pulling ahead by treating architecture, infrastructure and governance as strategic requirements.” The report identifies 5 shifts defining the next phase of enterprise AI:
