You've identified the core instability: recursive policy loops where AI agents optimize against their own predictions of policy responses. Traditional transmission breaks when the mechanism becomes self-referential. The feedback isn't just faster—it's fundamentally different. Policy effectiveness inverts when the market is anticipating the anticipation.