How people are using ChatGPT
OpenAI News我们发布了迄今为止最大规模的关于人们如何使用 ChatGPT 的研究，首次提供了这项广泛普及的技术如何通过提升工作效率和个人收益创造经济价值的独特视角。
研究结果显示，消费者的使用群体已超越早期用户，尤其是性别差距显著缩小；大多数对话集中在日常任务上，如获取信息和实用指导；使用方式持续演变，在个人和职业领域均创造经济价值。这种日益广泛的采用进一步印证了我们的信念：AI 访问权应被视为一项基本权利——人们可以利用这项技术释放潜能，塑造自己的未来。
该研究由 OpenAI 经济研究团队与哈佛经济学家 David Deming 合作完成，作为国家经济研究局（NBER）工作论文发布。研究基于对 150 万次对话的大规模隐私保护分析，追踪了自 ChatGPT 三年前发布以来消费者使用的演变。鉴于样本规模及 ChatGPT 每周 7 亿活跃用户数量，这是迄今为止最全面的 AI 消费者实际使用研究。值得注意的是，尽管研究仅涵盖消费者计划，结果仍凸显了工作和非工作场景中经济价值的创造。
论文的主要发现包括：
使用者群体
随着 AI 的日益普及，使用差距正在缩小。截至 2025 年中，ChatGPT 早期的性别差距大幅缩小，用户性别比例已接近成年人口的整体分布。2024 年 1 月，用户中带有典型女性名字的占 37%；到 2025 年 7 月，这一比例已超过一半（52%）。
ChatGPT 也成为了全球广泛可用的工具，尤其在中低收入国家增长迅速。到 2025 年 5 月，最低收入国家的 ChatGPT 采用增长率是最高收入国家的 4 倍以上。
使用目的
ChatGPT 的消费者使用主要集中于完成日常任务。75% 的对话涉及实用指导、信息查询和写作，其中写作是最常见的工作任务，编码和自我表达则相对小众。
使用模式可分为“提问”、“执行”和“表达”三类。约 49% 的消息属于“提问”，这一类别增长迅速且评价较高，表明用户更看重 ChatGPT 作为顾问的角色，而非仅仅完成任务。“执行”占 40%（其中约三分之一用于工作），包括起草文本、规划或编程等任务导向的互动，模型被用来生成内容或完成实际工作。“表达”占 11%，涵盖非提问非执行的用途，通常涉及个人反思、探索和娱乐。
使用演变
ChatGPT 的经济影响涵盖工作和个人生活。约 30% 的使用与工作相关，约 70% 属于非工作用途，且两者均持续增长，凸显 ChatGPT 既是生产力工具，也是日常生活中为消费者创造价值的驱动力。在某些情况下，它创造的价值甚至超出了传统 GDP 等指标的衡量范围。
价值创造的关键途径之一是决策支持：ChatGPT 有助于提升判断力和生产力，尤其在知识密集型工作中表现突出。随着用户发现这些及其他益处，使用深度不断加深——用户群体通过更先进的模型和新用例的发现，逐渐增加使用频率。
综上所述，这项迄今最大规模的 ChatGPT 消费者使用研究不仅揭示了谁在使用 AI、用途为何，还展示了其如何创造日益重要的实际经济价值，贯穿于人们的工作和日常生活。
阅读全文：完整结果、方法论及稳健性检验请参见完整工作论文（新窗口打开） [https://cdn.openai.com/pdf/a253471f-8260-40c6-a2cc-aa93fe9f142e/economic-research-chatgpt-usage-paper.pdf]。 我们期待随着产品变化和新功能发布，进一步分析这些结果的演变。
用户隐私保护说明：本研究中，研究人员未阅读用户消息。我们使用自动化工具对使用模式进行分类，无需人工审查消息内容。
We’re releasing the largest study to date of how people are using ChatGPT, offering a first-of-its-kind view into how this broadly democratized technology creates economic value through both increased productivity at work and personal benefit.
The findings show that consumer adoption has broadened beyond early-user groups, shrinking the gender gap in particular; that most conversations focus on everyday tasks like seeking information and practical guidance; and that usage continues to evolve in ways that create economic value through both personal and professional use. This widening adoption underscores our belief that access to AI should be treated as a basic right—a technology that people can access to unlock their potential and shape their own future.
The study, a National Bureau of Economic Research (NBER) working paper by OpenAI’s Economic Research team and Harvard economist David Deming, draws on a large-scale, privacy-preserving analysis of 1.5 million conversations to track how consumer usage has evolved since ChatGPT’s launch three years ago. Given the sample size and 700 million weekly active users of ChatGPT, this is the most comprehensive study of actual consumer use of AI ever released. Notably, while the study covers consumer plans only, the results still highlight the creation of economic value both at work and outside of work.
Some of the paper’s key takeaways:
Who’s using it
Usage gaps are closing as we increasingly democratize AI. As of mid-2025, ChatGPT’s early gender gaps have narrowed dramatically, with adoption resembling the general adult population. In January 2024, among users with names that could be classified as either masculine or feminine, 37% had typically feminine names. By July 2025, that share had risen to more than half (52%).
ChatGPT has also become a broadly accessible global tool, with especially rapid growth in low- and middle-income countries. By May 2025, ChatGPT adoption growth rates in the lowest income countries were over 4x those in the highest income countries.
What they’re using it for
ChatGPT consumer usage is largely about getting everyday tasks done. Three-quarters of conversations focus on practical guidance, seeking information, and writing—with writing being the most common work task, while coding and self-expression remain niche activities.
Patterns of use can also be thought of in terms of Asking, Doing, and Expressing. About half of messages (49%) are “Asking,” a growing and highly rated category that shows people value ChatGPT most as an advisor rather than only for task completion. Doing (40% of usage, including about one third of use for work) encompasses task-oriented interactions such as drafting text, planning, or programming, where the model is enlisted to generate outputs or complete practical work. Expressing (11% of usage) captures uses that are neither asking nor doing, usually involving personal reflection, exploration, and play.
How use is evolving
ChatGPT’s economic impact extends to both work and personal life. Approximately 30% of consumer usage is work-related and approximately 70% is non-work—with both categories continuing to grow over time, underscoring ChatGPT’s dual role as both a productivity tool and a driver of value for consumers in daily life. In some cases, it’s generating value that traditional measures like GDP fail to capture.
A key way that value is created is through decision support: ChatGPT helps improve judgment and productivity, especially in knowledge-intensive jobs. And as people discover these and other benefits, usage deepens—with user cohorts increasing their activity over time through improved models and new use-case discovery.
Together, these findings from the largest study of ChatGPT consumer usage to date show not only who is using AI and what they’re using it for, but also how it is creating real economic value that is increasingly central to people’s work and everyday lives.
Read the paper: For the complete results, methodology, and robustness checks, see the full working paper. We look forward to analyzing how these results may evolve as the product changes and new capabilities ship.
Notes on preserving user privacy: In this study, researchers did not read user messages. We used automated tools that categorized usage patterns without need for human review of message content.
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