60% of enterprises are investing millions in agentic AI, but only 15% have the
data foundation to run it securely and effectively at scale. Our new report
explores why so many organizations struggle to turn that investment into real
outcomes — and what separates those successfully scaling agentic AI from
those stuck in costly, ongoing experiments.
Based on a global survey of 400 data leaders, the report uncovers where data
foundations are breaking down and outlines what it actually takes to support
AI systems that act, not just analyze.
Key takeaways include:
- AI investment is outpacing data readiness: Organizations are moving
aggressively into agentic AI without the underlying infrastructure to
support it at scale. - Weak data foundations are limiting AI outcomes: Gaps in consistency,
governance, and control are slowing progress as teams try to move from
pilots to production. - Interoperability is critical: AI depends on seamless data access across
tools, but most systems remain fragmented and tightly coupled.
Download the full report to see where your organization stands and what it will
take to move from AI investment to AI impact.