Stanford Analyzes 250K Claude Conversations: Most Users Collaborate Deeply, Not Shortcut
StanfordHAI · x · 2026-10-13
- A Stanford HAI team led by Diyi Yang analyzed 250,000 anonymized Claude conversations using Anthropic's Insights tool; the paper is accepted at Nature Human Behavior.
- Counter to the "AI as shortcut" assumption, most users engage substantively: asking for explanations, working through friction, refining work, and letting AI push back on their reasoning.
- People increasingly bring critical tasks to chatbots, and productive outcomes depend on how the collaboration unfolds.
- The authors argue AI users are largely not treating it as a "free lunch" but as a collaborator that improves their own work.
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