Agentic AI Explained: Why Governance Belongs Here, Not in Functional AI

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Agentic AI refers to systems built around AI models that can take actions, call tools, trigger processes, and affect the external world — making it fundamentally different from purely functional AI. Unlike Functional AI, Agentic AI is the first system type that intersects all three authority layers: regulated, ethical, and human legitimacy frameworks. Despite appearances, these systems do not possess intent, self-awareness, or moral reasoning; they execute learned patterns within wrappers that simulate agency. When deployed in specific fields such as medicine, law, or finance, they become domain agents, though this does not grant them real understanding or intent. Governance challenges around Agentic AI centre on questions of authorisation, accountability, and constraint-setting — issues that belong to political and institutional authority, not ethics alone.

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