Editor's Synopsis
This research paper examines how AI agents are transforming knowledge work by analyzing production data from Perplexity's Search and Computer products. The study compares conversational AI assistants with autonomous agents that execute tasks end-to-end, revealing three key findings. First, Computer performs 26 minutes of autonomous work per session compared to just 33 seconds for Search, automating task decomposition and execution while shifting user follow-up queries toward higher-order work like verification and extension. Per-query dissatisfaction rates are 55% lower on the autonomous Computer product.
Second, the autonomy advantage dramatically reduces task completion time from 269 to 36 minutes on matched tasks, lowering estimated time and cost by 87% and 94% respectively compared to humans using Search alone. Third, and perhaps most significantly, the study finds that AI agents change the scope of work users attempt — Computer queries more frequently cross occupational boundaries, require higher-order cognition, draw on broader expertise, and bundle interdependent subtasks into composite queries. The research demonstrates that autonomous AI agents don't just speed up existing workflows but fundamentally expand the breadth and depth of automated work that users are willing to undertake.
