Current AI agents in healthcare can exchange data but cannot yet coordinate complex objectives. MIT Technology Review highlights the friction between specialized agents managing symptoms, scheduling, and insurance. This lack of synchronization prevents the transition from simple tool-use to autonomous systems. Practitioners must solve this coordination bottleneck to achieve reliable agentic workflows.