Super Mario Meets AI: Experimental Effects of Automation and Skills on Team Performance and Coordination

• 成果类型: Article
• 署名作者: Dell'Acqua, Fabrizio; Kogut, Bruce; Perkowski, Patryk
• 署名单位: Harvard University; Columbia University; Yeshiva University
• 刊物名称: REVIEW OF ECONOMICS AND STATISTICS
• ISSN/ISSBN: 0034-6535
• DOI: 10.1162/rest_a_01328
• 发表日期: 2025-07
• 页码: 951-966
• 关键词: division-of-labor; TECHNOLOGY; ORGANIZATION; EMPLOYMENT; routines; FUTURE; firm; jobs

摘要

This article studies the effects of the introduction of artificial intelligence (AI) into teams in a laboratory experiment. We randomly assign automated co-workers into laboratory firms who are playing a team-based game on the Nintendo Switch console. We demonstrate that even in a task where AI outperforms humans, automation decreases overall team performance and increases coordination failures. These effects are especially large in the short-term and in low- and medium-skilled teams. Moreover, automation reduces team trust and individual effort provision. Our results support the implication that improving collaborative human-machine teams is key to the positive transformation that AI may bring to organizations.