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Enterprise signals: What frontier firms are doing differently

OpenAI, OpenAI Signals · 2026-08-12.August 12, 2026

Summary

OpenAI’s Enterprise Signals shows that the gap between companies using AI deeply and those using it mainly as a chat assistant is widening. The leading firms are moving from asking AI for help to delegating substantive work to agents, giving them the context, tools, and persistence needed to complete multi-step tasks across functions such as sales, legal, recruiting, marketing, finance, and engineering. For knowledge workers, the useful point is that advantage increasingly comes from redesigning how work gets done around agents, not simply giving employees access to better models.

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OpenAI, OpenAI Signals · 2026-08-12

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PublicationOpenAI Signals
Author / creatorOpenAI
Source dateAugust 12, 2026
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Key Takeaways

  • Enterprise AI is shifting from assistance to execution: agentic systems such as Codex and ChatGPT Work can operate tools, work with files and systems, and carry tasks through multiple steps rather than merely answering questions.
  • The adoption gap is compounding. OpenAI reports that its top 10% of enterprise customers now generate 8.3× more output tokens per active user than typical firms, up from 2.6× in January, suggesting much deeper delegation of work to AI.
  • The differentiator is not access to better models but the working environment around the model: frontier firms give agents company context, reusable instructions, access to tools and data, and ways to keep working until a task is completed.
  • Agentic work is spreading beyond software development. Since February, weekly enterprise Codex users grew far faster in functions such as legal, sales, recruiting, and marketing than in engineering, indicating that general knowledge work is becoming an important frontier for agents.
  • Deeper delegation also requires stronger human control. Organizations need clear boundaries around what agents can access and do, alongside review of higher-risk decisions; the practical challenge is therefore learning how to delegate safely, not simply maximizing automation.