Only 29% of organizations are prioritizing sovereign AI in a concrete, near-term way.

More than 95% of organizations say private and sovereign AI are important.

Nearly 60% of AI leaders cite cross-border data restrictions as a major challenge.

About 35% of Chief AI Officers identify building, integrating and managing complex AI models in private or sovereign environments as their top barrier to adoption.

Only 38% of organizations report high confidence in their cloud security posture.

More than half of organizations cite integration complexity as their top challenge.

48% of organizations cite data security and privacy issues as a top data challenge.

54% of organizations cite data silos as a top data challenge limiting AI adoption.

In some organizations, business users outnumber professional developers by as much as 10 to 1.

46% of organizations cite data format issues as a top data challenge.

12% of organizations actively using, piloting, or exploring AI say AI is embedded directly within the flow of work.

65% of organizations say their structured data is somewhat or fully prepared for AI use.

94% of organizations say well-connected data, processes, and applications are highly important to successful AI adoption.

27% of organizations say data, processes, and applications are well connected in their organization today.

46% of organizations cite insufficient data management and governance as a top data challenge.

45% of organizations say their AI projects are delivering the outcomes they expected.

45% of organizations cite an insufficient or unclear data strategy as a top data challenge.

10% of organizations cite a lack of data as a primary issue for AI adoption.

39% of organizations actively using, piloting, or exploring AI say most AI-enabled workflows still rely on separate, standalone tools.

90% of enterprises are working to standardize AI tool security.