AI Readiness Gap Threatens Enterprise ROI as Data Integrity Concerns Mount

Event summary

  • A new study from Precisely and Drexel University surveyed over 500 data and analytics leaders in the U.S. and EMEA.
  • 85% of respondents have adopted Agentic AI, but significant gaps exist between perceived readiness and operational reality.
  • Only 31% of organizations tie AI initiatives to key performance indicators (KPIs).
  • 71% of organizations with a data strategy and governance program report high trust in their data, compared to 50% without.
  • 51% of organizations cite skills as a top need for AI initiatives, with deployment at scale and responsible AI being key deficiencies.

The big picture

The study highlights a growing disconnect between AI enthusiasm and the foundational data infrastructure required for successful enterprise-wide implementation. The emergence of 'Agentic AI' is raising the stakes for data integrity, as autonomous systems require a level of data trust and governance that many organizations currently lack. This gap represents a significant risk to AI ROI and could lead to a consolidation of AI capabilities among those with the resources and expertise to address these challenges.

What we're watching

Governance Dynamics
The divergence between organizations with and without data governance programs suggests that robust governance will become a critical differentiator for AI success, potentially creating a two-tiered market.
Execution Risk
The lack of KPI alignment and skills gaps indicate that many organizations may struggle to translate AI ambition into tangible business results, potentially leading to project abandonment and wasted investment.
Talent Migration
The demand for professionals who bridge data, business strategy, and AI governance will likely intensify, driving up salaries and potentially creating a talent war as organizations compete for limited expertise.

Related topics

Technology ROI