arXiv:2504.11443econ.GNcs.LG2025-04被引 3

M365 Copilot让知识工作者每周少花半小时读邮件,文档撰写快12%。

Early Impacts of M365 Copilot

  • 通过6000名员工的随机实验,测试Copilot在真实工作中的效果。
  • 使用工具者每周少读30分钟邮件,文档完成速度提升12%。
  • 近40%员工持续使用,证明其在实际工作中的实用价值。

生成式AI的进展迅速拓展了计算机在传统人类任务中执行或辅助的能力。我们分析了一项覆盖56家公司的大规模真实世界随机实验,涉及超过6000名员工,提供了关于此类技术如何改变知识型工作者工作方式的一些最早证据。研究发现,在多个行业和职业中,使用该技术的员工在常见核心任务上显著节省时间:使用该工具的员工每周阅读邮件的时间减少了半小时,文档完成速度提高了12%。尽管技术尚属新颖,但在为期六个月的研究期间,近40%获得访问权限的员工仍定期在工作中使用该工具。

原文摘要 · Abstract (English)

Advances in generative AI have rapidly expanded the potential of computers to perform or assist in a wide array of tasks traditionally performed by humans. We analyze a large, real-world randomized experiment of over 6,000 workers at 56 firms to present some of the earliest evidence on how these technologies are changing the way knowledge workers do their jobs. We find substantial time savings on common core tasks across a wide range of industries and occupations: workers who make use of this technology spent half an hour less reading email each week and completed documents 12% faster. Despite the newness of the technology, nearly 40% of workers who were given access to the tool used it regularly in their work throughout the 6-month study.

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