Fivetran Index Reveals 85% of Enterprises Lack Data Readiness for Agentic AI

Event summary

  • Fivetran's 2026 Agentic AI Readiness Index shows only 15% of enterprises are fully prepared for production-grade agentic AI.
  • Nearly 60% of organizations have invested millions in agentic AI despite significant data infrastructure gaps.
  • 41% of companies are already using agentic AI in production, risking operational failures due to data quality issues.
  • Data quality, lineage, and interoperability are the top barriers to successful agentic AI deployment.
  • The average readiness score across respondents is 61-62%, indicating critical gaps in data foundations.

The big picture

Fivetran's findings highlight a critical disconnect between AI investment and data readiness, with enterprises risking operational failures as they deploy agentic systems. This gap underscores how data infrastructure has become the limiting factor in AI adoption, potentially derailing up to 60% of projects according to Gartner. The report suggests that organizations prioritizing data freshness, lineage, governance, and interoperability will gain a competitive advantage in AI deployment.

What we're watching

Data Infrastructure
How enterprises will address data quality and interoperability gaps to support agentic AI at scale.
Vendor Lock-In
Whether organizations can avoid data integration platform lock-in while building AI-ready foundations.
AI Investment
The pace at which companies will shift from AI experimentation to production-grade deployments.

Related topics

Technology