The state of enterprise AI

ChatGPT now serves more than 800 million users every week, and this rapid consumer adoption has created a powerful flywheel, accelerating the pace at which AI is being brought into work and professional settings.

The history of general purpose technologies—from steam engines to semiconductors—shows that significant economic value is created after firms translate underlying capabilities into scaled use cases. Enterprise AI now appears to be entering this phase.

Today, we’re excited to introduce the state of enterprise AI report⁠(opens in a new window). For the first time, we’re sharing a comprehensive look at how enterprises are adopting AI, what workers say they’re gaining, and how organizational leaders are turning experimentation into measurable productivity and new capabilities.

This analysis draws on two novel sources of data:

• Real-world usage data from enterprise customers of OpenAI.

• An OpenAI survey of 9,000 workers across almost 100 enterprises documenting patterns of AI adoption.

All data points were deidentified and aggregated to preserve privacy.

Adoption is accelerating and deepening

The picture that emerges is clear: enterprise AI adoption is accelerating not just in breadth, but in depth. It is reshaping how people work, how teams collaborate, and how organizations build and deliver products.

• Over the past year weekly messages in ChatGPT Enterprise increased roughly 8×, and the average worker is sending 30% more messages.

• Usage of structured workflows such as Projects and Custom GPTs has increased 19× year-to-date, showing a shift from casual querying to integrated, repeatable processes.

• Average reasoning token consumption per organization has increased by approximately 320× in the past 12 months, suggesting that more intelligent models are being systematically integrated into expanding products and services.

Growth is rapid across industries and geographies

AI is gaining traction across every sector, but we’re seeing especially strong momentum in: