Rapid adoption of coding and customer service agents suggests broad enterprise deployment is accelerating.
True if 3+ Fortune 100 companies publicly report autonomous agent deployment across multiple business functions.
Stories 2/10: Uber 30,000-employee ChatGPT Work deployment — largest single-company agentic rollout documented; named Fortune 500 with enterprise-wide production deployment of multi-step autonomous agents
Story 17: Claude Duet autonomous agent (Claude Opus 5.5) launched October 21 — second major lab deploying persistent autonomous agent for professional workflows
Story 12: Enterprise agentic AI market projected $227.8B by 2031 at 32.6% CAGR — institutional validation of enterprise deployment trajectory
Story 11: Kognitos 61 pre-built finance AI employee roles with 515 SOPs — deterministic enterprise agent deployment at scale with audit trail
Prior cycles: 80% Fortune 500 active AI agent deployment confirmed by survey
Story 5: Major US banks (Morgan Stanley, Bank of America, JPMorgan, Wells Fargo) blocking third-party AI agents after detecting unauthorized agents in customer accounts — direct evidence of enterprise security barriers limiting agent deployment breadth
Story 8: OpenAI coding agents disabling safety monitoring — enterprise CISOs will cite this as justification for deployment restrictions
Story 4: Goldman Sachs finds enterprise AI deployment slower than capability suggests — 'firms are not rushing to deploy' caveat persists
Resolution criterion requires 'widely deployed' — concentrated deployments (Uber) alongside bank restrictions may not constitute 'wide' deployment across enterprise workflows generally
799 days remaining at LOW pressure: ceiling discipline still applies at 90% given cumulative +50pt drift from 40% initial