The Global CIO Report – Enterprise AI Adoption: Risks, Readiness, and Ensuring Strategic Value
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AI is everywhere – but enterprise leaders are telling a consistent story: adoption is outpacing visibility and governance.
We surveyed 500 CIOs to capture what’s actually happening inside large enterprises as AI scales. The findings are stark:
- 98% of CIOs lack visibility into the technical and business risk of AI – creating governance blind spots as adoption accelerates.
- 78% of CIOs struggle with shadow AI, driven by unsanctioned tools, unclear usage, and weak enforcement.
- 82% of CIOs rely on enterprise architects to identify and assess AI-related risks – highlighting the need for architectural visibility into systems, dependencies, data flows, and capabilities.
The report gives CIOs and enterprise architecture leaders a peer-led fact base and a four-step roadmap to:
- Regain visibility into where AI is being used and where risk is accumulating
- Strengthen AI governance with approaches that scale beyond manual controls
- Align AI initiatives to enterprise capabilities and value streams – so AI investment drives outcomes, not noise
Last updated on
March 10, 2026
AI is everywhere – but enterprise leaders are telling a consistent story: adoption is outpacing visibility and governance.
We surveyed 500 CIOs to capture what’s actually happening inside large enterprises as AI scales. The findings are stark:
- 98% of CIOs lack visibility into the technical and business risk of AI – creating governance blind spots as adoption accelerates.
- 78% of CIOs struggle with shadow AI, driven by unsanctioned tools, unclear usage, and weak enforcement.
- 82% of CIOs rely on enterprise architects to identify and assess AI-related risks – highlighting the need for architectural visibility into systems, dependencies, data flows, and capabilities.
The report gives CIOs and enterprise architecture leaders a peer-led fact base and a four-step roadmap to:
- Regain visibility into where AI is being used and where risk is accumulating
- Strengthen AI governance with approaches that scale beyond manual controls
- Align AI initiatives to enterprise capabilities and value streams – so AI investment drives outcomes, not noise