# Google 研究：Gemini 实际使用数据未发现 AI 将大规模取代白领工作的证据

- 来源：Ars Technica：AI（RSS）
- 作者：Kyle Orland
- 发布时间：2026-07-29 04:20
- AIHOT 分数：49
- AIHOT 链接：https://aihot.virxact.com/items/cms53y4o800esro1ho3xsyqd0
- 原文链接：https://arstechnica.com/ai/2026/07/despite-ai-hype-googles-data-shows-workers-arent-automating-themselves-away

## AI 摘要

Google Research 一项基于 Gemini App、AI Mode 及 Gemini API 中 1500 万次匿名 AI 交互的研究显示，AI 在各职业中虽有显著使用，但“仍然浅层且以协作为主”，端到端任务自动化范围有限。研究未发现支持 AI 将导致白领工作大规模自动化和替代的说法。

## 正文

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.