Nearly every enterprise is investing in AI, but only 5% say their data is ready
Nearly halfway into 2026, enterprises are beginning to see tangible returns on their AI investments. Yet many are discovering that scaling requires something far less glamorous than flashy frontier models and state-of-the-art benchmarking: Clean, interoperable, governed data. According to a new AI Momentum Survey from Dun & Bradstreet, 97% of organizations report active AI initiatives, but just 5% say their data is ready to support them. This reflects the messy reality of AI as enterprises struggle to move beyond experimentation to operationalization. “You do not need enterprise-wide AI-ready data to launch pilots or isolated AI use cases,” said Cayetano Gea-Carrasco, Dun & Bradstreet’s chief strategy officer. “But you do need it to scale AI reliably across mission-critical workflows and systems.” Early gains seen Organizations are all-in on AI in 2026 and view it as a mission-critical imperative, according to the D&B report. Well over half (67%) are seeing “early signs or pockets” of