How frontier firms are pulling ahead
Summary
OpenAI's B2B Signals research, released May 6, 2026, reveals that "frontier firms" (top 5% of AI users) now utilize 3.5x more intelligence per worker than typical firms, an increase from 2x a year prior. This advantage stems from deeper, more complex AI integration rather than just higher message volume, with only 36% of the gap explained by activity. Agentic workflows are a key differentiator, as frontier firms send 16x more Codex messages per worker. The report introduces B2B Signals as a recurring measure of AI diffusion in businesses, based on de-identified, aggregated enterprise usage data. It highlights that AI use is broadening across functions like IT, software development, and finance, moving beyond general productivity to specialized tasks.
Key takeaway
For AI Architects and Product Managers aiming to maximize enterprise AI value, focus on enabling deep, agentic workflows rather than just broad access. Your strategy should shift from measuring basic adoption to fostering complex, delegated tasks using advanced tools like Codex, and integrating AI directly into core business functions. This approach will help your organization move towards the "frontier" of AI utilization and achieve compounding benefits.
Key insights
Frontier firms gain compounding advantages by integrating AI deeply into complex, agentic workflows.
Principles
- Depth of AI use drives greater advantage than mere activity.
- Agentic workflows signify advanced AI adoption.
- AI adoption is broadening into specialized functions.
Method
OpenAI's B2B Signals uses privacy-preserving, aggregated enterprise usage data to measure AI diffusion, focusing on depth, tool association, and broadening use cases across industries and functions.
In practice
- Measure AI depth using tokens generated as a proxy.
- Prioritize agentic tools like Codex for complex tasks.
- Build governance for production AI use.
Topics
- Frontier Firms
- AI Adoption
- Agentic Workflows
- B2B Signals
- OpenAI Codex
Best for: AI Architect, AI Product Manager, Entrepreneur, Director of AI/ML, VP of Engineering/Data, Consultant
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Editorial summary, takeaway, and curation by AIssential. Original article published by OpenAI News.