随着全球人工智能采用加速，Gemini AI 平台背后的公司 Google 宣布启动一项重大研究计划，考察其AI产品在实际中如何被使用。不同于 McKinsey 或 Pew Research 等咨询机构基于调查的采用研究，Google 的这项工作基于直接观察到的用户行为，提供了自我报告式调查难以轻易捕捉的细粒度行为图景。

Google 表示，“we as a society must work together to positively shape how AI impacts our lives, jobs, and economy. In order for this shared work to be effective, it is critical to have a rich understanding of how AI is being adopted and used in the economy. Society needs empirical insights and evidence-based research to inform decisions, initiatives, and actions.”

该公司称，其“is launching the first iteration of the AI & Economy ATLAS (Activity, Task, Landscape and Adoption Study), an ongoing, large-scale, de-identified study of how people are using Google's AI products and tools.”

Google 表示，该分析基于用户与其AI系统的实际互动。“ATLAS's first dataset (v1.0) is built from 15 million aggregated and de-identified human-AI interactions across the Gemini App, AI Mode, and the Gemini API, which together are used by more than 1 billion people monthly. ATLAS v1.0 insights span more than 150 countries, 140 languages, 800 occupations, and 4,000 tasks; ATLAS is the most comprehensive look to date at how real people are using AI at scale,” 该公司指出。

根据这份长篇报告，大多数对话式AI使用发生在工作场所之外。报告称：“We observe most conversational AI usage happens at home: over 86% of conversations occur outside formal work,”。

在职场采用方面，研究结果显示，“while AI adoption spans occupations covering just above 88% of U.S. employment, penetration remains shallow and overwhelmingly collaborative in nature, with end-to-end task automation limited in scope.” 这表明，尽管AI工具已在各类岗位中广泛可用，但多数员工尚未使用AI来完全自动化核心任务——这一差异与有关AI近期对就业影响的持续讨论相关。

报告的执行摘要还强调了用户的语言多样性。“English accounts for only about a third of global conversations, and users do not show signs of systematically abandoning their native languages for complex professional tasks, as work and non-work activities show nearly identical language distributions.” 这一发现凸显出，随着AI提供商在英语市场之外争夺全球用户，多语言模型质量的重要性。