Despite AI hype, Google's data shows workers aren't automating themselves away
Google/DeepMind
A Google Research study analyzing 15 million Gemini AI interactions found no evidence that AI is causing massive automation or displacement of white-collar workers. The use remains shallow, collaborative, and limited in scope, with heavy use in fields like computers and finance, but minimal use in sales, transportation, and food service.
Google Research released a study using the AI & Economy ATLAS, examining 15 million anonymized AI interactions across Gemini App, Google's AI Mode, and the Gemini API. The study found that while AI is used across many occupations, its use remains shallow and overwhelmingly collaborative, with end-to-end task automation limited in scope. Researchers used an automated classifier based on Bureau of Labor Statistics and O*NET databases, verified by human reviewers. White-collar jobs in computers, finance, and arts/entertainment showed overrepresented AI use, with financial analysts, software developers, and systems administrators among the heaviest users. In contrast, salespeople, transportation workers, and food preparation/service workers were heavily underrepresented.
Source: Ars Technica —
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