# Agentic AI has to earn autonomy

> A system should grant agents more room to act only when risk, evidence, and reversibility support it.

Published: 2026-06-27
Reading time: 3 min read
Canonical URL: https://aidanmarshall.ai/writing/agentic-ai-has-to-earn-autonomy/
Source: AidanMarshall.ai — https://aidanmarshall.ai/writing/agentic-ai-has-to-earn-autonomy/
Provenance: First-party analysis
Provenance note: Original first-party analysis published on aidanmarshall.ai.

Autonomy should be treated as a measured privilege, not a default setting. In regulated environments, the agent's technical capability is only one part of the decision. The system also needs a clear view of task risk, reversibility, confidence, cost, and the blast radius of a bad action.

That is the idea behind Agent Autonomy Score: make supervision a first-class control. Low-risk, reversible work can move quickly. High-risk work should slow down, ask for review, or provide a stronger audit trail before it touches production systems or client-facing workflows.

A useful control records why an agent was allowed to act, when it was stopped, and what evidence informed the decision.

## Topics

Agentic AI, AI governance, Autonomous agents, AI-assisted development