谷歌的AI与经济ATLAS v1.0：映射Gemini在经济中的应用
Google's AI & Economy ATLAS v1.0: Mapping Gemini Usage in the Economy
- Google（谷歌）
- Google DeepMind（谷歌DeepMind）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本研究推出AI与经济ATLAS v1.0，基于1500万条去标识化交互数据映射Gemini的经济应用，揭示AI在美及全球的使用特征，为AI转型相关研究提供实证支撑。
AI中文摘要：
本文介绍了AI与经济ATLAS（活动、任务、格局与采用情况研究），这是一项利用谷歌AI使用数据开展的持续经济研究计划。ATLAS的首个版本基于Gemini应用、谷歌AI模式及Gemini API中1500万条去标识化交互数据构建。我们采用隐私保护算法，以及成熟与定制化分类方法，将AI使用情况映射至800余种职业、4000项任务、300项家庭活动、150个国家和140种语言。随后，我们对数据揭示的AI扩散情况、工作场景与日常生活中的使用情况展开多项观察：工作场景中，AI采用覆盖了美国约88%以上就业的职业，但渗透程度较浅，且绝大多数为协作性质，端到端任务自动化的范围有限；工作之外，AI覆盖了美国人约98%的非睡眠时间活动，在与政府、专业服务提供商互动等高摩擦任务中使用比例过高，可能产生标准国民账户未涵盖的经济价值。全球范围内，AI采用随国家财富增长而提升，且语言分布广泛，英文查询仅占总量的约三分之一。随着我们推进ATLAS的建设并扩展其范围与能力，将持续提供大规模实证证据，为公众、政策制定及学术界关于正在进行的AI转型的问题提供参考。
英文摘要：
This paper introduces the AI & Economy ATLAS (Activity, Task, Landscape, and Adoption Study), an ongoing economic research initiative using Google AI usage data. The first iteration of ATLAS is built on 15 million de-identified interactions across the Gemini App, Google AI Mode, and Gemini API. Using privacy-preserving algorithms as well as established and bespoke classification methods, we map AI usage to over 800 occupations, 4000 tasks, 300 household activities, 150 countries, and 140 languages. We then make a number of observations on what the data reveals about AI's diffusion, and its usage at work and in day-to-day life. In the workplace, we show that while AI adoption spans occupations covering just above 88% of US employment, penetration remains shallow and overwhelmingly collaborative in nature, with end-to-end task automation limited in scope. Outside of work, AI spans activities making up about 98% of Americans' non-sleep time, with disproportionately high use in high-friction tasks such as engaging with government and professional service providers, likely delivering economic value that standard national accounts may miss. Globally, adoption scales with national wealth and has broad linguistic distribution, with English queries representing only around a third of volume. As we build upon ATLAS and expand its scope and capabilities, we will continue to provide large-scale empirical evidence to inform the public, policy and academic questions about the ongoing AI transformation.
