Enterprise AI Adoption Grows, but Data Readiness Lags

  • 76% of enterprises report measurable ROI from AI initiatives, with 28% seeing broad or strong returns across multiple projects.
  • Only 6% of organizations have enterprise data fully ready to support AI at scale.
  • 34% of businesses are scaling AI into production, up from earlier phases of planning and piloting.
  • Dun & Bradstreet's Q3 2026 survey polled 10,000 businesses across 32 countries.

Enterprise AI is maturing, with a growing number of organizations reporting measurable returns. However, the challenge lies in scaling these benefits consistently across departments, which hinges on improving data readiness. Dun & Bradstreet positions itself as a solution provider, emphasizing the need for accurate, validated data to support AI-driven decisions.

Data Infrastructure Gap
How the gap between AI adoption and data readiness will impact enterprise-wide scalability.
AI Deployment Phases
The pace at which organizations transition from pilot projects to full-scale AI integration.
Contextual Accuracy
Whether verified business context can minimize AI hallucinations and improve decision-making across teams.