Characterizing Agentic Flooding of Government Services
This study addresses the systemic overload of government services caused by AI agent-induced flooding. Pioneering the concept of "agent flooding," this research constructs a risk matrix to assess exposure levels and conducts empirical analysis integrating multi-jurisdictional case studies with policy mapping. The findings reveal current flooding patterns, identify high-risk services, and propose mitigation strategies that ensure equity without performance trade-offs, alongside actionable short-term recommendations. By bridging the governance gap in AI-mediated public service delivery, this work establishes a systematic framework combining theoretical innovation with practical guidance for managing emerging digital risks. Ultimately, it provides critical support for enhancing the resilience of government infrastructure against novel technological disruptions.