How AI Agents Reshape Knowledge Work: Autonomy, Efficiency, and Scope

The shift from AI as a search tool to AI as an autonomous worker represents one of the most significant productivity transitions in modern history. Using real production data, this study quantifies what that shift actually looks like: agents perform dramatically more work per session, complete tasks far faster, and push users toward higher-order thinking rather than routine execution. For businesses, the implications touch hiring, task delegation, and competitive advantage. For individuals, it raises questions about which skills remain distinctively human. The data suggests that agentic AI doesn't just speed up existing work — it changes what work people attempt in the first place. Authors: Jeremy Yang, Kate Zyskowski, Noah Yonack, Jerry Ma Paper: https://arxiv.org/abs/2606.07489v1