The Hacker News report on shrinking exploitation windows captures the surface symptom but misses the deeper structural failure: AI has decoupled vulnerability discovery from human-scale response loops, creating an irreversible asymmetry where automated attackers operate in hours while enterprise processes remain anchored in weeks. Beyond the cited Anthropic Project Glasswing findings and Verizon DBIR median patch times rising to 43 days, this reflects a pattern seen in prior automated campaigns, such as the 2021 Log4Shell cascade where AI-assisted fuzzing tools accelerated weaponization far ahead of CERT coordination. India's CERT-IN sub-day mandates compound the mismatch by ignoring operational constraints like change windows and stability testing, a regulatory blind spot also evident in earlier EU NIS2 implementations that overestimated patching velocity. The core error in existing coverage is assuming remediation velocity is adjustable; in reality, the bottleneck has migrated from detection to validation and temporary control deployment. Organizations must now prioritize preemptive exposure mapping and exploitability simulation over blanket patching, a shift already foreshadowed in MITRE ATT&CK framework evolutions tracking AI-augmented TTPs. This collapse signals broader power realignment where state and criminal actors leveraging similar models gain persistent first-mover advantages in critical infrastructure targeting.