Reskilling the Workforce for AI: Domain Expertise and Algorithmic Literacy

• 成果类型: Article; Early Access
• 署名作者: Tambe, Prasanna B.
• 署名单位: University of Pennsylvania
• 刊物名称: MANAGEMENT SCIENCE
• ISSN/ISSBN: 0025-1909
• DOI: 10.1287/mnsc.2022.03968
• 发表日期: 2025
• 关键词: ai; AI augmentation; workplace transformation; human capital; algorithms; AI literacy; future of work; IT complements; domain expertise; generalists

摘要

This study provides evidence that AI and algorithms act as complements to domain expertise, creating the greatest value when algorithmic literacy is broadly diffused among workers. Unlike earlier business technologies that concentrated expertise in IT specialists, AI and algorithms are most effective when domain experts themselves can interpret and apply them. Using two workforce datasets, I show that demand for algorithmic skills is rising among domain experts, frontier firms diffuse these skills broadly, and markets reward firms' AI and algorithmic investments more when such capabilities are dispersed. The spread of no-code and natural language tools accelerates this shift by lowering barriers to use and allowing domain experts to integrate algorithms into their decisionmaking processes. These patterns underscore the importance of workforce training and organizational design in realizing productivity gains from AI adoption.