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ARTICLE · 01 JULY 2026

AI Agents Shouldn’t Go Where Humans Cannot See

As agentic AI systems rapidly advance beyond human cognitive capacity to oversee them, the traditional safety approach of keeping humans in the loop becomes obsolete for high-complexity, high-consequence deployments. This analysis explores why current governance frameworks are inadequate and proposes a new paradigm where machine oversight re-empowers human control over increasingly autonomous AI agents.

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Since my original worries about agentic AI in October last year, advances in their capabilities have been prolific. Tools such as OpenAI’s Codex, Anthropic’s Cowork, and open-source projects like OpenClaw are bringing powerful agentic capabilities within the reach of non-developers. Many are enthusiastically heralding the arrival of a golden agentic age.

My previous advice was always to keep a human-in-the-loop and ensure there is a kill switch, but, as I will explain, this is now impossible in the very scenarios that need it most.

After six months – a long time in AI – my guidance needs an upgrade.

The twin perils of complexity and consequence

Not all agents are created equal, and I find it helpful to think of them in two dimensions: complexity and consequence. In this scheme, complexity is closely related to whether a human can understand an agent’s operations in a timely way, and consequences are defined by what it is capable of doing.

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