The state of enterprise AI

ChatGPT 现在每周为超过 8 亿名用户提供服务，这种消费者端的快速采纳形成了强大的正向循环，加速了 AI 在工作场景和专业领域的渗透。

从蒸汽机到半导体，通用技术的历史表明，真正的经济价值往往在企业将底层能力转化为大规模应用之后才会显现。如今，企业级 AI 似乎正进入这一阶段。

我们很高兴推出名为 state of enterprise AI report 的报告。这是我们首次全面披露企业如何采用 AI、员工从中获得了哪些收益，以及组织领导者如何把试验转化为可量化的生产力提升和新能力。

本次分析依托两类新颖数据来源：

• 来自 OpenAI 企业客户的真实使用数据；
• 由 OpenAI 对近 100 家企业、约 9,000 名员工开展的调查，记录了 AI 采纳的模式。

为保护隐私，所有数据都经过去标识化与汇总处理。

采纳速度在加快且更为深入

画面清晰可见：企业级 AI 的采用不仅覆盖面在扩大，使用深度也在加深，它正在重塑个人工作方式、团队协作模式以及组织的产品构建与交付。

• 过去一年中， ChatGPT Enterprise 中的周消息量大约增长了 8 倍，且普通员工发送的消息平均增加了 30%。
• 像 Projects 和 Custom GPTs 这样的结构化工作流使用量年内增长约 19 倍，显示出从随意提问向集成化、可复用流程的转变。
• 每个组织平均用于推理的 token 消耗在过去 12 个月里约增长了 320 倍，表明更智能的模型正被系统性地嵌入到不断扩展的产品和服务中。

人们不仅更频繁地使用 AI，而且把它用于越来越复杂的任务。企业在广度（更多员工开始使用）和深度（现有用户使用得更深入）上同时扩张。

各行业与地区都在快速增长

AI 在各个行业均有推进，但我们观察到特别强劲的动能集中在：

• 技术、医疗保健和制造业（增速最快）；
• 专业服务、金融和技术（运行规模最大）。

按地域看，增长最快的企业客户群体包括澳大利亚、巴西、荷兰和法国，年增长均超过 140%。

过去六个月，国际层面的 API 客户增长超过 70%，在美国之外，日本拥有最多的企业级 API 客户。

员工反馈显示 AI 带来可衡量的价值

在被调查的企业中，75% 的员工表示在工作中使用 AI 提升了产出速度或质量。员工普遍报告每天节省 40–60 分钟，重度用户每周节省超过 10 小时。按部门看，AI 带来的价值包括：

• 87% 的 IT 员工报告 IT 问题解决更快；
• 85% 的市场与产品人员报告活动执行更快；
• 75% 的人力资源人员报告员工参与度提升；
• 73% 的工程师报告代码交付更快。

关键在于，AI 不仅让人们更快地完成既有工作，还使他们能做以前做不到的新工作：

• 非技术岗位员工的编程相关消息量增加了 36%；
• 75% 的用户表示能完成以前无法完成的新任务。

AI 缩短了从意图到实现的距离，使不同专业背景或技术能力的人都能把想法转化为具体产出。

“前沿”用户和组织正在拉开差距

数据还显示，“ front ier ”（前沿）员工与公司正在逐渐拉开与中位数的差距：

• 所谓前沿员工（第 95 百分位）发送的消息量是中位员工的 6 倍，并且在更高级能力上的参与更为密集；
• 前沿公司的人均消息量是其他公司的 2 倍，并且在团队层面展现出更深的 AI 整合。

这些差距尤其重要，因为数据显示，随着用户消费更高阶的智能并在更多不同任务中应用，节省的时间也会随之增加。

AI 生态快速演进； OpenAI 大约每三天就会发布一项新功能或能力。对组织而言，主要约束已不再是模型性能或工具本身，而是组织准备程度与落地执行能力。

展望未来：AI 重塑现代企业

这份 state of enterprise AI report 不只是描述 AI 采用如何变化，更旨在帮助组织更有效地规划部署。基于真实使用数据，报告对领先企业今日如何部署 AI、在哪些环节实现价值，以及更深整合如何随着时间复合放大影响力进行了基准化分析。

我们鼓励高管、运营者与建设者阅读报告、思考其中洞见，并欢迎就报告提出的问题和未来研究方向给予反馈。我们将持续跟踪从试验到可持续、高影响力部署的演进，并分享所学。

如果您想阅读全文或了解如何在组织内负责地引入 AI，我们也愿意沟通交流。

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. 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.

People aren’t just using AI more often. They are using it for increasingly sophisticated tasks. Enterprises are expanding both the extensive margin—more workers adopting AI—and the intensive margin—existing users going deeper.

Growth is rapid across industries and geographies

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

• Technology, healthcare, and manufacturing, which are the fastest growing sectors.
• Professional services, finance, and technology, which operate at the largest scale.

Globally, the fastest‑growing business customer bases include Australia, Brazil, the Netherlands, and France, each exceeding 140% year‑over‑year growth.

International API customer growth has exceeded 70% over the last six months, with Japan having the largest number of corporate API customers outside of the U.S.

Workers report measurable value from using AI

Across surveyed enterprises, 75% of workers report that using AI at work has improved either the speed or quality of their output. Workers report saving 40-60 minutes per day, with heavy users reporting more than 10 hours per week. Workers report AI is contributing to value across departments:

• 87% of IT workers report faster IT issue resolution.
• 85% of marketing and product users report faster campaign execution.
• 75% of HR professionals report improved employee engagement.
• 73% of engineers report faster code delivery.

Crucially, AI is not just helping people do the same work faster—it is enabling people to do new kinds of work.

• Coding-related messages increased 36% for workers outside of technical functions.
• 75% of users report being able to complete new tasks they previously could not perform.

AI reduces the gap between intent and execution. Individuals can translate ideas into concrete outputs, regardless of their specialization or technical expertise.

Frontier users and organizations are pulling ahead

Our data shows a widening gap between “frontier” workers and firms, and the median.

• Frontier workers (95th percentile) send 6× more messages than the median employee and engage more intensively across advanced capabilities.
• Frontier firms send 2× more messages per seat and show deeper integration of AI across teams.
• These patterns are particularly meaningful given the finding that time savings increase as users consume more intelligence and engage across more distinct tasks.

The AI landscape is evolving rapidly; OpenAI releases a new feature or capability roughly every three days. The primary constraints for organizations are no longer model performance or tooling, but rather organizational readiness and implementation.

Looking ahead: AI reshaping the modern enterprise

The state of enterprise AI report⁠ is designed to do more than describe how AI adoption is changing, it’s meant to help organizations plan how to deploy more effectively. Based on real-world usage data, the report benchmarks how leading enterprises are deploying AI today, where they’re realizing value, and how deeper integration compounds impact over time.

We encourage executives, operators, and builders to read the report and engage with the underlying insights. We also welcome feedback on the questions it surfaces, and those still to come, as we continue to study how organizations move from experimentation to durable, high-impact AI deployment. This is an ongoing effort, and we’ll keep sharing what we learn as the frontier evolves.

If you’d like to explore the full findings or learn how to bring AI into your organization responsibly, we’d love to connect⁠.

Generated by RSStT. The copyright belongs to the original author.

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