企业人工智能的现状（英）

2025 REPORTThe state of enterprise AIThe state of enterprise AI | 2025 Report2ForewordAt OpenAI, our mission is to ensure that artificial intelligence benefits all of humanity, 
and helping enterprises solve problems is 
central to this mission. The majority of economically valuable activity takes place inside organizations, where innovation translates directly into improved outcomes for workers, customers, and other stakeholders. Enterprise problems also present the hardest technical challenges for frontier intelligence, requiring reliability, safety, and security at scale. The revenue generated from solving these problems can help fund broad, free access to powerful AI for hundreds of millions of people worldwide. For much of the past three years, the visible impact of AI has been most apparent among consumers. However, 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, as many of the world’s largest and most complex organizations are starting to use AI as core infrastructure.More than 1 million business customers now use OpenAI’s tools. This report brings together evidence from de-identified and aggregated enterprise usage data and a variety of other sources to provide a grounded view of how AI is being deployed inside organizations today.The state of enterprise AI | 2025 Report301Enterprise usage is scaling, with deeper workflow integration. ChatGPT message 
volume grew 8x and API reasoning token consumption per organization increased 
320x year-over-year, demonstrating that more enterprises are using AI and their 
intensity of usage has increased.02Enterprises that leverage AI are experiencing measurable productivity and business impact. Enterprise users report saving 40–60 minutes per day and being able to complete new technical tasks such as data analysis and coding. Case studies indicate AI is contributing to important outcomes such as revenue growth, improved customer experience, and shorter product-development cycles.03Enterprise growth is global and rapidly accelerating across industries. Over the past six 
months, international adoption has surged as organizations worldwide deepen their use of AI, complementing continued strong momentum in the U.S. In the past 12 months, the median 
sector grew by more than 6x, with the technology sector leading the pack at 11x.04A widening gap is emerging between leaders and laggards. Frontier workers are sending 
6x more messages and frontier firms are sending 2x as many messages per seat than the median enterprise. There’s a substantive gap in the likelihood to utilize the most capable 
AI tools today, despite broad availability of these tools. Models are capable of far more than most organizations have embedded into workflows, and this presents an opportunity for firms.Four key findings stand