As artificial intelligence systems transition from single-model deployments to complex multi-agent architectures, the concept of the “broken actor” becomes critical. A broken actor refers to an agent whose behavior deviates from its design specifications due to internal malfunction, reward misspecification, or environmental interaction. This paper defines broken actors, categorizes their failure modes, and discusses implications for robustness, safety, and alignment.