State of AI Trust 2026: Shifting to the Agentic Era
Summary
McKinsey's 2026 AI Trust Maturity Survey finds that the average Responsible AI (RAI) maturity score rose to 2.3 (out of 5), up from 2.0 in 2025 — but only ~one-third of organizations score 3 or above on strategy, governance, and agentic AI governance. The key shift: agentic AI expands the risk surface from AI "saying the wrong thing" to AI "doing the wrong thing." Organizations lack orchestration and governance discipline to scale.
Key Insights
- Average Responsible AI maturity increased from 2.0 in 2025 to 2.3 in 2026.
- Only about one-third of organizations achieved maturity scores of 3 or higher.
- Governance and risk management remain major challenges for enterprises.
- Agentic AI introduces new requirements for oversight and accountability.
- Organizations with stronger AI governance frameworks report higher trust and adoption rates.
- Responsible AI practices are increasingly becoming a competitive differentiator.
About the Author
Hammad Zubair
AI Transformation Leader | Founder of Zylo Technologies | Helping businesses unlock value through AI.
Hammad Zubair is an AI Transformation Leader and Founder of Zylo Technologies. He helps businesses discover practical AI opportunities that reduce costs, improve efficiency, and accelerate growth. Through AI readiness assessments and transformation strategies, he enables organizations to identify high-impact automation and AI implementation opportunities.