Artificial Intelligence in the Knowledge Economy

• 成果类型: Article
• 署名作者: Ide, Enrique; Talamas, Eduard
• 署名单位: University of Navarra; IESE Business School
• 刊物名称: JOURNAL OF POLITICAL ECONOMY
• ISSN/ISSBN: 0022-3808
• DOI: 10.1086/737233
• 发表日期: 2025
• 关键词: organization; hierarchies; GROWTH; IMPACT; specialization; INEQUALITY; MARKET; tasks; LABOR

摘要

Artificial intelligence (AI) can transform the knowledge economy by automating noncodifiable work. To analyze this transformation, we incorporate AI into an economy where humans form hierarchical organizations: less knowledgeable individuals become workers doing routine work, while others become solvers handling exceptions. We model AI as a technology that converts computational resources into AI agents that operate autonomously (as coworkers and solvers/copilots) or nonautonomously (solely as copilots). Autonomous AI primarily benefits the most knowledgeable individuals; nonautonomous AI benefits the least knowledgeable. However, output is higher with autonomous AI. These findings reconcile contradictory empirical evidence and reveal trade-offs when regulating AI autonomy.