Descriptions:
Two major enterprise AI reports released in close succession—OpenAI’s State of Enterprise AI and Menlo Ventures’ third annual State of Generative AI in the Enterprise—paint a consistent picture of accelerating adoption, emerging ROI, and a widening divide between AI leaders and laggards. OpenAI’s report draws on usage data from enterprise customers plus a survey of 9,000 workers across nearly 100 companies, while Menlo surveyed 495 US enterprise AI decision-makers in November.
The numbers from OpenAI are striking: enterprise ChatGPT seats have grown 900% year-over-year, weekly enterprise messages are up approximately 800%, and reasoning token consumption per organization has surged 320x over the past twelve months. Coding has emerged as the clear first killer app for enterprise AI, with non-technical employees generating 36% more coding-related messages than a year prior. The fastest-growing sectors for OpenAI are technology (11x), healthcare (8x), and manufacturing (7x).
The widening leader-laggard gap may be the most structurally important finding. Frontier firms—those in the 95th percentile of adoption intensity—generate twice as many messages per seat overall and seven times as many messages to custom GPTs where organizational knowledge lives. These firms treat AI as core infrastructure rather than a productivity add-on. Both reports broadly point to boom rather than bubble dynamics, with enterprise ROI solidifying across industries and the gap between early adopters and the rest compounding over time.
📺 Source: The AI Daily Brief: Artificial Intelligence News · Published December 11, 2025
🏷️ Format: News Analysis
