OpenAI’s latest enterprise materials point to a widening difference between organizations that use AI occasionally and those that build it into everyday work. Its public B2B Signals data indicates that frontier firms use 3.5 times more AI intelligence per worker than typical firms on average, up from 2 times a year earlier. Separately, OpenAI has expanded Codex with role-specific plugins, Sites and annotations, signaling a product direction centered on more delegated, tool-connected knowledge work.
That evidence supports a more useful conclusion than the specific adoption figures circulating in the original signal. OpenAI’s public documentation does not substantiate the exact claim that the top 10% of enterprises use plugins twice as often and skills six times as often as typical firms. What it does document is a substantial frontier-versus-typical gap in the depth and intensity of AI use, alongside a broader plugin-enabled workflow toolkit for Codex.
What OpenAI’s enterprise data shows
OpenAI’s State of Enterprise AI 2025 report and its May 2026 B2B Signals materials frame enterprise adoption as more than a question of how many employees have access to an AI assistant. The relevant distinction is whether employees use AI repeatedly, across meaningful work, and with enough organizational support to make that usage part of normal operations.
