Google Study Finds Little Evidence of AI-Driven Automation in White-Collar Work

A new Google Research study analyzed 15 million anonymized AI interactions across Gemini products and found no evidence that AI is causing massive automation or displacement of white-collar jobs. Instead, workplace use of AI remains mostly shallow and collaborative, with limited end-to-end task automation.

The researchers classified interactions using official occupational standards and found AI useful for only a subset of tasks. Human review confirmed the findings, suggesting current AI adoption is far from replacing most workers.

vidgetc Tech, gaming & AI news — always at hand Google Play · Soon App Store · Soon
💬 Discuss

Comments

Next articleAnthropic’s Opus 5 Prioritizes Token Efficiency Over Major Performance Gains
Start typing to search