The Coordination Gap in Frontier AI Safety Policies

Frontier AI Safety Policies concentrate on prevention—capability evaluations, deployment gates, usage constraints—while neglecting institutional capacity to coordinate responses when prevention fails. We argue this coordination gap is structural: investments in ecosystem robustness yield diffuse benefits but concentrated costs, generating systematic underinvestment. Drawing on risk regimes in nuclear safety, pandemic preparedness, and critical infrastructure, we propose that similar mechanisms—precommitment, shared protocols, standing coordination venues—could be adapted to frontier AI governance. Without such architecture, institutions cannot learn from failures at the pace of relevance.