Introduction to Agentic Workflow
OpenAI’s Chief Revenue Officer, Denise Dresser, dropped a bombshell: enterprise AI now accounts for over 40% of the company’s revenue. This shift towards agentic workflow is not just a trend, it’s a full-blown revolution. Companies are no longer just using AI to write emails or summarize documents; they’re deploying teams of agents that can coordinate with each other, hold context across sessions, and take action inside business tools without constant human oversight.
The Rise of Enterprise AI
The question on everyone’s mind is no longer “should we use AI?” but “how many agents should we run?” OpenAI’s enterprise agent platform is at the forefront of this movement, and its AI coding agent, Codex, has already crossed 3 million users. Paying business users have hit 9 million, up from 5 million in August. Weekly active users across all of OpenAI’s products have reached a staggering 910 million.
The Power of Agents
But what’s really missing for most companies is a straightforward path to integrate agentic AI without rebuilding their business structure. Dresser believes that OpenAI’s agent platform can be the answer to this problem. With the launch of ChatGPT Agent, which can plan trips, book hotel rooms, research competitors, generate slide decks, and place online orders without a human in the loop, the possibilities are endless.
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Market Mechanics
The market is responding positively to OpenAI’s moves, with the company hitting $25 billion in annualized revenue in February, up from $20 billion at the end of 2025. According to a report by Bloomberg, this growth is not just limited to OpenAI, but is a broader trend in the AI industry.
Technical Implications
The technical implications of this shift are significant. As companies begin to deploy teams of agents, they will need to ensure that these agents are able to coordinate with each other seamlessly. This will require significant investments in infrastructure, including high-performance computing and advanced software systems.
Historical Context
The rise of agentic AI is not a new phenomenon, but rather the culmination of years of research and development in the field. From the early days of AI to the current era of deep learning, the technology has been evolving rapidly. With the advent of agentic AI, we are seeing a new era of AI that is capable of not just processing information, but also taking action.
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As we look to the future, it’s clear that agentic AI will play a major role in shaping the world of business and beyond. With OpenAI at the forefront of this movement, we can expect to see significant advancements in the field in the coming years.
Conclusion is for Paper Hands
No, just kidding. Let’s get back to the action. OpenAI’s rise to prominence is not just a story of AI; it’s a story of innovation, disruption, and the relentless pursuit of progress. As we apes continue to push the boundaries of what is possible, we can expect to see even more exciting developments in the world of agentic AI.