AI agents don’t just speed up knowledge work; they change its nature. In a field study of Perplexity’s conversational assistant and autonomous agent, researchers found that not only did the agent perform more autonomous work, cut task time, lowered cost, and left users more satisfied, but it also expanded the scope of work people attempted—crossing occupational boundaries, tackling more complex, multi-step projects, and generating tasks that rarely appeared with a standard assistant. As workers shift from operators to supervisors, leaders must redesign roles, workflows, and oversight to harness agents’ potential while governing their expanded autonomy.

AI agents don’t just speed up knowledge work; they change its nature. In a field study of Perplexity’s conversational assistant and autonomous agent, researchers found that not…

While many companies now use AI to improve individual tasks, most still struggle to apply it to the cross-functional work that makes or breaks enterprise performance. Drawing on…