In the executive forums where AI leaders compare notes, the conversation has shifted. A year ago it was about what AI agents could do. Now it is about what happens after the enthusiasm wears off: the agent nobody owns, the instructions nobody versioned, the approval nobody can produce when an auditor asks, the experiment that leaks company IP onto the open internet.