OpenAI Enterprise Revenue Hits 40% as Codex Reaches 3 Million Weekly Users.

OpenAI has disclosed that enterprise customers now account for more than 40% of the company's revenue, marking a significant shift in its business model. The milestone comes as demand for AI tools in business settings continues to accelerate, with OpenAI's APIs processing over 15 billion tokens per minute.

The announcement was shared on LinkedIn by Denise Dresser, discussing trends observed during her first 90 days at the company. According to Dresser, enterprise revenue is on track to reach parity with consumer revenue by 2026.

Perhaps most striking is the growth trajectory of Codex, OpenAI's AI coding assistant. The tool has reached 3 million weekly users, up from 2 million just weeks earlier. That represents more than 5x growth since the start of the year.

In response to this momentum, OpenAI reset Codex rate limits to reduce friction for developers. The company committed to resetting limits with every additional 1 million weekly users as it works toward a goal of 10 million. As previously covered, OpenAI has been actively expanding Codex use cases beyond pure coding tasks.

The growth puts OpenAI in more direct competition with tools like Cursor and Windsurf, both of which have carved out significant market share in AI-assisted development.

OpenAI cited GPT-5.4 as driving record engagement across agentic workflows, though the company provided limited technical detail about the model. New and existing enterprise customers mentioned include Cursor, DoorDash, Phillips, State Farm, Thermo Fisher, and LY Corporation.

The shift toward enterprise reflects what Dresser described as AI moving from the app layer to an operating layer. Companies are moving past experimentation into production deployments that deliver measurable business outcomes.

To support enterprise adoption, OpenAI is working with Frontier Alliance partners McKinsey, BCG, Accenture, and Capgemini, as well as infrastructure partners like Amazon Web Services, Databricks, and Snowflake. The partnerships aim to integrate AI into existing enterprise systems and workflows rather than requiring complete platform migrations.

The 40% enterprise revenue figure suggests that business use cases have matured faster than many observers expected. For small business owners and independent builders, this enterprise momentum could accelerate feature development, improve reliability, and potentially influence pricing structures as OpenAI optimizes for larger contracts.

The aggressive rate limit resets for Codex indicate OpenAI is prioritizing developer retention in a competitive market. Tools built on OpenAI's API may benefit from improved performance and capacity, though builders should monitor pricing as enterprise demand grows.

OpenAI's emphasis on trust and security in enterprise deployments also signals that compliance features and audit capabilities will likely receive continued investment, which could benefit smaller teams looking for enterprise-grade tools without enterprise budgets.