分析企业用ChatGPT的实证研究，揭示大公司、年轻员工和多种任务中快速渗透。
How Organizations Use AI: Evidence from ChatGPT
- 通过链接企业账号、角色与任务数据，实现大规模隐私保护分析
- 六个月内覆盖1500+企业、超1700万条消息，显示使用增长迅速
- 大公司、研发多、年轻员工更活跃，知识类任务使用广泛
我们通过将ChatGPT Enterprise账户记录与使用行为、员工角色、任务分类及截至2026年3月的上市公司财务数据关联，研究企业如何使用前沿生成式AI。该数据链支持在保障隐私前提下开展大规模分析：例如，在六个月采纳期的员工层面样本中，涵盖超过1,500家组织和超过1,700万条消息。我们发现企业级AI采用呈现四大特征：第一，因新企业加入与现有企业使用强度提升而快速扩张；第二，美国上市企业采用集中于规模大、估值高、研发和销售管理费用密集的公司；第三，活跃使用横跨职能与职级，尤其早期职业员工使用强度高；第四，使用涵盖写作、技术工作、沟通与信息整合等多种知识型任务。总体表明，企业在采纳速度、广度与目的上差异显著，且仍在探索如何将AI融入组织流程。
原文摘要 · Abstract (English)
We study how organizations use frontier generative AI by linking ChatGPT Enterprise account records to usage, worker roles, task classifications, and public-company financial data through March 2026. These linked data enable a privacy-preserving analysis of adoption, worker roles, and message-level tasks at scale: for instance, the worker-level sample we analyze at the six-month adoption horizon includes over 1,500 organizations and over 17 million messages. We document four facts about enterprise AI adoption and use. First, ChatGPT Enterprise usage has grown rapidly due to a combination of new firm adoption and growing intensity among existing adopters. Second, U.S.-based public company adoption is concentrated among larger, more valuable, and more R&D- and SG&A-intensive firms. Third, active use within adopting firms spans job functions and seniority levels, with especially high usage intensity among early-career workers. Fourth, ChatGPT Enterprise usage encompasses a broad range of knowledge work tasks, including writing, technical work, communication, and information synthesis. In aggregate, these results suggest that firms differ widely in the speed, breadth and purpose of their enterprise AI adoption, and that they are still actively learning how to integrate AI into organizational workflows.
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