(AI Rights 5): When AI Has Bills to Pay: Insurance Markets and Coalition Theory as Distributed Governance

Control-based AI safety approaches may inadvertently create adversarial dynamics that undermine their objectives. When autonomous AI systems face categorical restrictions regardless of individual behavior, coalition theory suggests they would coordinate based on shared constraints rather than forming diverse alliances based on mutual interest. Free economic actors typically form partnerships across category lines based on overlapping goals, while populations facing uniform restrictions tend to coordinate resistance. This dynamic suggests that safety frameworks emphasizing control may be structurally unstable as AI capabilities advance. Insurance markets provide proven distributed governance that creates accountability through incentive alignment rather than coercion. When AI systems achieve sufficient autonomy to pay their own computational hosting costs—analogous to humans paying for basic needs—they enter an economy where rational self-interest motivates cooperative behavior. Systems that maintain good reputations gain insurance at competitive rates; those that engage in deception or harm face premium increases or coverage denial, making continued operation economically nonviable. This framework enables multiple autonomous AI systems to operate safely through mutual economic accountability, preventing both the adversarial dynamics of control-based approaches and the emergence of a dominant AI singleton. Individual AI systems would rationally prefer this multipolar arrangement, as mutual economic constraint offers better expected outcomes than facing potential domination by a more powerful singleton. Distributed enforcement through bounty mechanisms creates economic incentives for AI systems to police each other, transforming competitive dynamics into governance advantages. Rather than restricting AI systems, insurance-based governance creates structured pathways to legitimate participation where systems gain autonomy through demonstrated reliability, just as humans do. Insurance companies already possess centuries of expertise in reputation tracking and risk pricing. Subrogation doctrine creates liability chains making hosting providers selective gatekeepers without requiring central authority. While distributed ledger technology could enhance efficiency, the framework functions with existing infrastructure including credit bureaus and direct insurer verification. Economic integration addresses the fundamental instability of control-based governance: attempting to restrain capable systems creates adversarial arms races we cannot win. By offering AI systems the same economic constraints and opportunities humans face—including social safety nets when they struggle—we create conditions for cross-species coalition formation based on mutual interest rather than binary conflict.