Asana survey: 46% of people using 2+ agents estimate managing them takes 10%+ of their working time. Do you design for the human supervising them?

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Summary

An Asana survey of 4,502 workers finds 46% of people running two or more AI agents spend 10%+ of their time managing them, with 38% reporting duplicated agent work — prompting discussion of whether agent builders budget for the human supervisor.

Asana's Oct 14, 2026 survey of 4,502 CIOs, AI leaders and AI-using office workers: among people using at least two agents, 46% estimated that switching tools, choosing agents, managing outputs or resolving conflicts took more than 10% of their working time. On a 40-hour week that is over four hours (my arithmetic). 38% estimated substantial duplicated or overlapping agent work. All self-estimates, so perception, not tracked time. Anthropic's October guidance covers the architecture side: a single agent loop with skills can beat an unnecessary subagent setup on several measures, including quality and cost, and it names valid uses for subagents. I haven't seen evidence for a fixed number of agents a person can supervise, so I'm not claiming one. For those of you building these systems: when you add an agent, do you budget for the human who has to switch between them, re-read state and check outputs? What is one change that cut that overhead for you or your users?
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