Consulting data maps uneven enterprise human-AI collaboration
A TMTPost analysis drawing on Stanford HAI, McKinsey, Gartner and other research finds that enterprise AI use is widespread, but scaled AI-agent deployment remains limited. A 2025 survey of 68 Chinese mid-sized and large companies finds relatively shallow adoption, with only 7.4% saying AI agents had improved overall organizational efficiency and translated that improvement into operating value. The article argues that stable human-AI teams depend on exception handling, quality safeguards and explainable judgment criteria rather than model capability alone.
The analysis provides a business-focused view of AI deployment that contrasts broad tool adoption with limited organization-wide impact, while noting that some cited figures are secondary references or vendor claims.
（本文作者为 穆胜，钛媒体经授权发布）
文 | 穆胜
本篇文章，我们将通过主流咨询公司的数据，看看中外企业的人机协同团队建设情况。看到最后会发现，现状可能和大多数人印象中的不一样。
01 渗透程度——AI技术广泛普及
首先看AI智能体的普及。我们前面的定义中，人机协同团队中，至少要有一个AI智能体被赋予固定职责，与上下游形成稳定工作关系，并拥有一定程度的决策权，以至于能够影响一个作业单元。从这个意义上说，大多使用AI智能体的企业，至少在一个组织局部范围内建起来人机协同团队。
我们首先引用两个国外机构的数据。
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