AI Adoption Hits Inflection Point as Data Readiness Emerges as Key Bottleneck — The Dun & Bradstreet Holdings, Inc. (D&B)

Event summary

97% of organizations report active AI initiatives, with 56% planning to increase investment in the next 12 months.
Only 5% of businesses say their data is fully ready for AI, highlighting a critical bottleneck.
60% of organizations now report at least some measurable ROI from AI, up from single-digit results in 2025.
44% of businesses cite privacy and compliance risks as a major obstacle to AI deployment.
Dun & Bradstreet emphasizes the need for a verified business identity layer to enable deterministic AI decision-making.

The big picture

The survey results indicate a structural shift in AI adoption, with enterprises moving beyond experimentation to measurable returns. However, the systemic constraints around data readiness and verified business identity highlight a critical bottleneck that could determine which companies successfully scale AI. Dun & Bradstreet positions its D-U-N-S® Number and Commercial Graph as foundational solutions for this challenge, emphasizing the need for consistent entity resolution across systems.

What we're watching

Data Infrastructure: How the lack of verified business identity layers will affect AI scalability and ROI.
Regulatory Compliance: Whether enterprises can mitigate privacy and compliance risks to accelerate AI adoption.
Talent Gap: The pace at which the shortage of skilled AI professionals will be addressed.