Despite AI hype, Google's data shows workers aren't automating themselves away
摘要
谷歌研究团队基于1500万次Gemini交互数据的研究显示，目前没有证据支持AI将大规模取代白领工作的说法。研究发现，虽然AI在多种职业中有所应用，但使用程度较浅，且以协作为主，端到端的任务自动化范围有限。AI仅对部分任务有用，整体上并未引发工作自动化浪潮。该研究通过自动化分类器对工作场景中的AI交互进行分析，并经人工验证确认了方法的可靠性。
Anyone following the AI space is by now familiar with lofty claims that AI models will soon be better than humans at everything and capable of replacing vast swaths of the human workforce. In a new study from Google Research, though, a team that looked at how workers are actually using Gemini "[did] not find evidence... to support the claims that AI is about to cause massive automation and displacement of white-collar work..."
The paper, released last week, introduces the "AI & Economy ATLAS," an Activity, Task, Landscape, and Adoption Study of 15 million anonymized AI interactions across the Gemini App, Google's AI Mode, and the Gemini API. Their initial review of the data finds that, while AI sees some significant use across a wide variety of occupations, that use "remains shallow and overwhelmingly collaborative in nature, with end-to-end task automation limited in scope."
"AI appears useful for a subset of tasks..."
To come to these conclusions, Google researchers used an automated classifier to sort work-based AI interactions using the Bureau of Labor Statistics' Standard Occupational Classifications and O*NET's more detailed database of specific work interactions. While this method required some probabilistic classification of "inherently uncertain" interactions, verification by human reviewers found it to be a reliable gauge of how Gemini prompts were being used for work.
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