State of AI Trust in 2026: Shifting to the Agentic Era
McKinsey 2026 AI Trust Maturity Survey reveals progress in responsible AI maturity, with the average score rising to 2.3 from 2.0 in 2025. However, persistent gaps remain in strategy, governance, and risk management as organizations navigate the shift to agentic AI. The survey highlights that trust is becoming a competitive differentiator — organizations with mature AI governance frameworks report significantly better business outcomes. As agentic AI systems gain autonomy, traditional oversight models need fundamental redesign to maintain accountability and build stakeholder confidence.
Key Facts
- Responsible AI maturity score improved to 2.3 from 2.0 year-over-year
- Persistent gaps in AI strategy, governance, and risk management
- Trust becoming a competitive differentiator in enterprise AI
- Agentic AI shift requires fundamental redesign of oversight models
- Organizations with mature AI governance report better business outcomes
Summary
McKinsey 2026 AI Trust Maturity Survey shows average responsible AI maturity improved to 2.3 from 2.0, but persistent gaps remain in strategy, governance, and risk management as organizations shift to agentic AI.