OpenAI publishes State of Enterprise AI report as adoption accelerates
OpenAI has published its first State of Enterprise AI report, and senior company figures have taken to LinkedIn to share perspectives on the findings.
Among them, revenue leader Ashley Kramer commented on the announcement, highlighting how the research reflects real-world enterprise behavior. She wrote: “Today we released OpenAI's first-ever State of Enterprise AI report which shows how organizations are actually adopting AI, where they’re seeing value, and what separates early leaders from the pack.”
OpenAI develops enterprise AI products such as ChatGPT Enterprise, Custom GPTs, Projects, and the OpenAI API.
Report data shows rapid growth in workflow integration
The report draws on usage data from OpenAI’s enterprise customers and a survey of nine thousand workers across almost one hundred firms. It shows that enterprise AI usage has increased significantly during the past year. Weekly ChatGPT Enterprise messages grew roughly eight times year-on-year, and the average worker is sending 30 percent more messages, reflecting deeper integration into routine tasks.
Structured workflows are now a substantial portion of activity. Usage of Custom GPTs and Projects increased nineteen times year-to-date, with around 20 percent of enterprise ChatGPT traffic passing through these standardized processes.
API usage has also expanded. More than nine thousand organizations have processed over ten billion tokens, and nearly two hundred firms have surpassed one trillion tokens. Average reasoning token consumption rose 320x over the past 12 months, showing that higher-intelligence models are increasingly embedded into products, systems, and internal tools.
Workers report measurable impact alongside widening usage gaps
Survey results included in the report show that 75 percent of workers say AI improves the speed or quality of their output. Workers report saving 40–60 minutes per active day, with some technical roles reporting savings of 60–80 minutes.
However, the findings also highlight clear differences in depth of use. Frontier workers, those in the 95th percentile, send six times more messages than median users and work across a wider range of task types. Coding shows the largest usage gap, with frontier users sending seventeen times more coding-related messages than the median.
Despite access to advanced tools, some employees are not using them. Nineteen percent of monthly active users have never used data analysis features, fourteen percent have never used reasoning, and twelve percent have yet to use enterprise search tools.
Industry and geographic patterns show uneven but accelerating adoption
The report shows that enterprise adoption is expanding across all major regions, with countries such as Australia, Brazil, the Netherlands, and France growing by more than 140 percent year-on-year. The United States, Germany, and Japan remain the most active markets by message volume, according to data.
Sector growth varies. Technology, healthcare, and manufacturing are the fastest-growing industries, while finance and professional services operate at the largest scale. API adoption continues to diversify, with organizations using AI for customer-facing assistants, workflow automation, data extraction, and coding tools.
Case studies highlight operational improvements across sectors
Intercom, Lowe’s, Indeed, BBVA, Oscar Health, and Moderna appear in a series of case studies illustrating how AI deployment is delivering measurable outcomes. These range from reduced latency in customer service calls to streamlined legal checks, accelerated research workflows, and improved job-matching experiences.
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