OpenAI launches B2B Signals, frontier firms use 3.5x more AI

OpenAI's B2B Signals report arrives as enterprise AI adoption matures from a phase of simple access—who has tools and how many seats—to a focus on depth and integration. The data shows that the frontier advantage is not just about sending more messages; it's about asking AI to perform more complex work with richer context. This finding shifts the leadership question from measuring seats or logins to measuring where AI is deepening workflows and changing team operations.

The report identifies agentic workflows as a key marker of maturity, with the largest advantages appearing in advanced tools like Codex. Firms leading in this area are treating AI less as an interface and more as a way to redesign work, as seen in Cisco's production use and Travelers Insurance's customer-facing assistant. The note that education and learning show the largest task-level frontier advantage suggests these leading firms are also using AI to build employee skills, not just complete tasks.

Looking ahead, the durability of this frontier advantage is likely to hinge on whether organizations can systematically adopt the practices the report outlines: measuring depth, building governance for production use, investing in enablement, and moving toward delegated work with agents. These signals are presented as both a benchmark and a roadmap, implying that while the gap is real, it is not necessarily a fixed divide. Future updates to B2B Signals will track whether these practices help more firms close the distance or whether the leaders pull further ahead.