Findings from McKinsey’s 2026 AI Trust Maturity Survey reveal progress in trust maturity, alongside persistent gaps in strategy, governance, and risk management.
AI adoption is accelerating rapidly, with organizations moving beyond experimentation toward scaled deployment of gen AI and, increasingly, agentic AI across core business functions. But as AI systems take on greater autonomy—making recommendations, triggering actions, and interacting with other systems—the consequences of failure grow materially. In this environment, AI trust and the responsible AI (RAI) practices that enable trust are no longer a tangential concern but a foundational requirement for realizing the full potential of the technology.
