How agents are transforming work
Summary
OpenAI's Economic Research paper, "How agents are transforming work," details the rapid internal and external adoption of Codex, an agentic AI tool, by June 2026. Codex shifts AI usage from short chatbot interactions to delegated, long-horizon tasks, becoming the primary AI tool across all OpenAI departments, including Legal and Recruiting. By June 2026, Codex accounted for 99.8% of weekly output tokens within OpenAI. The tool is increasingly used for complex, longer-duration tasks; by May 2026, 80.6% of individual users made requests estimated to exceed 30 minutes, and 25.6% for tasks over eight hours. Non-developer adoption surged, with individual non-developer users increasing 137x since August 2025, enabling workers to perform tasks outside their job descriptions, such as coding for business functions. This trend suggests a future where agentic tools expand productive work capabilities.
Key takeaway
For Directors of AI/ML or business leaders evaluating AI integration, recognize that agentic tools like Codex are shifting the paradigm from chatbots to autonomous task execution. Your teams should prioritize exploring agentic AI for long-horizon, cross-functional work, especially for non-technical departments. This approach can significantly expand individual worker capabilities and redefine workflow design, moving beyond simple conversational interfaces.
Key insights
Agentic AI tools like Codex are rapidly becoming the primary interface for knowledge work, enabling longer, more complex, and cross-functional tasks.
Principles
- Agentic AI enables long-horizon, delegated tasks.
- Non-technical users drive rapid agent adoption.
- Agents expand worker capabilities beyond job roles.
In practice
- Delegate multi-hour, complex tasks to agents.
- Enable non-developers for technical workflows.
- Orchestrate multiple parallel agent tasks daily.
Topics
- Agentic AI
- OpenAI Codex
- AI Adoption Trends
- Workflow Transformation
- Non-technical AI Use
- Economic Potential of AI
Best for: Executive, Investor, Entrepreneur, Research Scientist, Director of AI/ML, Consultant
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Editorial summary, takeaway, and curation by AIssential. Original article published by OpenAI News.