In an internal memo released 90 days into her tenure, OpenAI Chief Revenue Officer Denise Dresser noted that the pace of corporate AI adoption is experiencing unprecedented growth. As businesses shift from the experimental phase to full-scale deployment, OpenAI’s commercial focus is rapidly tilting toward the enterprise market.
Data shows that enterprise operations now contribute more than 40% of OpenAI’s total revenue. The company expects this share to reach parity with its consumer business by the end of 2026. Currently, the Codex tool has reached 3 million weekly active users, the API processes over 15 billion tokens per minute, and GPT-5.4 is demonstrating record-breaking engagement levels within automated workflows.
Building a Full-Stack Intelligent Infrastructure
Dresser stated that the addition of new clients such as Goldman Sachs, Philips, and State Farm, alongside the expansion of existing accounts like DoorDash and LY Corporation, reflects an urgent market demand for AI to evolve from a "copilot" into a "full-process operator." To meet this need, OpenAI is providing a unified intelligent operating layer for enterprises through its "OpenAI Frontier" platform.
Unlike the fragmented point solutions currently on the market, Frontier is designed to enable AI agents to collaborate across an enterprise's various systems, data sources, and tools. OpenAI has formed alliances with consulting firms such as McKinsey, Boston Consulting Group, and Accenture, as well as cloud providers like AWS and Databricks, to help companies deeply integrate these models into their existing infrastructure.
Regarding workflow integration, OpenAI is working to develop a unified AI super-app. This application will consolidate ChatGPT, Codex, and agentic browsing capabilities, allowing employees to manage multiple agents within a single interface to complete end-to-end tasks, from research to CRM updates. Dresser emphasized that with the usage of agentic tools like Codex growing more than fivefold since the beginning of the year, enterprises are moving away from seeking AI assistance and toward managing teams of AI agents to achieve full business process automation.