AI capabilities are advancing exponentially while policy and legislation lag years behind, creating a dangerous gap. This article argues for binding, FAA-style regulation of frontier models, plus updates to tax, innovation, social power balance, and geopolitical strategies to keep pace.

• AI capabilities went from barely coherent code to handling most software work at top AI firms in four years, tracking scaling laws that predict continued exponential gains
• Frontier models already pose real threats to cybersecurity, finance, critical infrastructure and national security (e.g. the Claude Mythos Preview breach), with bio and autonomy risks likely next
• Voluntary disclosure and optionality-preserving measures (transparency rules, export controls) are no longer sufficient given these demonstrated risks
• Anthropic will back binding federal pre-deployment testing requirements for frontier AI plus job-displacement policy, modeled on an FAA-style certification and audit system, building on early state laws like California's SB 53, New York's RAISE act and Illinois's SB 315