This report synthesises eight major global AI surveys from 2025–2026, covering over 60,000 respondents across 100+ countries, to identify and rank the ten most consequential barriers between enterprise AI adoption and enterprise value.
‍The Adoption Paradox: 88% of organisations now use AI. Only 6% capture meaningful financial returns. Why the gap between deployment and value keeps widening.

‍10 Issues, Ranked by Impact: Each barrier assessed by cross-survey convergence, reported financial harm, and breadth of affected organisations. Three impact tiers: Critical, High, and Emerging.

‍The Reinforcing System: How data readiness constrains scaling, scaling exposes governance gaps, governance is harder across legacy systems, and all of it weakens ROI. The issues compound each other.

‍What Separates the 6%: The three characteristics that distinguish high performers from the remaining 94%, based on McKinsey, Deloitte, and MIT research.

‍What to Watch in 2026: Two emerging risk frontiers — silent semantic drift at system boundaries and the governance gap in agentic AI — that current monitoring tools are not designed to detect.