AI has become a universal corporate mandate, but a new global study from Tata Communications and Bloomberg Media Studios reveals a sharper question taking shape inside enterprises: AI investment is no longer in doubt, but the systems beneath it may not be built to carry it, at scale.
According to Building Durable AI Advantage, a report sponsored by Tata Communications and produced in partnership with Bloomberg Media Studios, three in four enterprise leaders (77%) now treat AI as a board-level priority. Yet 65% are still operating on legacy or developing infrastructure not designed for the data intensity and integration demands of enterprise AI. Just 29% say their infrastructure can scale with evolving business demands — a critical gap, given that AI workloads do not rise in a smooth line. They surge, shift across environments and place pressure on the weakest parts of the system.
The study, which surveyed 501 senior executives across North America, Europe and Asia at enterprises with revenues above $500 million, identifies five reinforcing systems — or “loops” — that determine whether AI investment compounds in value or plateaus over time. The loops span Foundation (infrastructure modernisation), Integration (interoperability across systems), Skills (capability distribution), Governance (decision velocity) and ROI (visibility of value). Enterprises can generate isolated gains even when a single loop is under strain. Lasting performance, however, depends on alignment across all five: when the loops reinforce one another, progress accelerates and advantages compound; when any one stalls, constraints spread and momentum weakens.
