Two items this week converge on a single architectural risk: OAuth 2.x token standards do not provide the delegation, per-user attribution, or per-instance identity fields that AI agents require for granular access control and audit attribution, and legacy PAM/IAM session-scoped privilege models are architecturally incompatible with machine-speed agentic workflows. Every enterprise AI agent deployment operating under current standards carries a live privilege escalation, token abuse, and audit gap risk that scales with the number of agents deployed. This is not a patchable condition; it requires architectural remediation at both the standards level (IETF OAuth working group) and the enterprise configuration level.