AI governance is being pulled into a new phase as frontier systems become more capable and politically consequential. The Interconnects analysis argues that the field has crossed a one-way door: policy choices now have to account for increasingly general systems, not just narrow product risks.
That matters because governments, labs, and companies are still building the institutions that would manage such systems. The debate is no longer only about model evaluations or voluntary commitments, but about whether governance can move quickly enough as AI capability and deployment pressure accelerate.