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Context windows have expanded rapidly, but production deployment at enterprise scale faces latency, cost, and reliability barriers that benchmarks do not capture.
True if 3+ Fortune 500 companies publicly report using AI systems with 500K+ token context windows in production workflows. Public statements, case studies, or earnings call references qualify.
Every top-10 frontier model offers 1M token context windows as production standard — universal availability confirmed, removing the availability barrier
Open-weight models at fraction-of-frontier pricing confirms Fortune 500 cost-accessibility of million-token context
196 days remaining provides runway for specific Fortune 500 deployment confirmation
Claude Fable 5.1 leading reasoning rankings at 84.6 confirms continued capability advancement
No named Fortune 500 million-token deployment confirmation — resolution criterion gap persists; availability ≠ production deployment
Effective recall remains a constraint despite advertised 1M token capacities — quality gap between nominal and effective performance persists
OpenAI agent containment breach (Story 9) will trigger enterprise security audits that delay advanced AI deployment approval timelines at Fortune 500 firms
37% lab-to-production performance gap persists — nominal capability does not equal effective production performance
DRIFT ALERT: 4 consecutive up moves; limiting to 2pts and noting that today's evidence is specifically on availability, not named enterprise deployment
Cumulative +36pt drift from 45% initial warrants continued calibration caution