Measuring Human Leadership Skills with AI Agents

Ben Weidmann, Yixian Xu and David Deming

No 33662, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: We show that leadership skill with artificially intelligent (AI) agents predicts leadership skill with human groups. In a large pre-registered lab experiment, human leaders worked with AI agents to solve problems. Their performance on this “AI leadership test” was strongly correlated (ρ=0.81) with their causal impact as leaders of human teams, which we estimate by repeatedly randomly assigning leaders to groups of human followers and measuring team performance. Successful leaders of both humans and AI agents ask more questions and engage in more conversational turn-taking; they score higher on measures of social intelligence, fluid intelligence, and decision-making skill, but do not differ in gender, age, ethnicity or education. Our findings indicate that AI agents can be effective proxies for human participants in social experiments, which greatly simplifies the measurement of leadership and teamwork skills.

JEL-codes: J24 M54 O30 (search for similar items in EconPapers)
Date: 2025-04
Note: ED LS PR
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