2019/07/21 by Ming-Hui Huang, Ming‐Hui Huang, Roland Rust +2 · 567 citations
Economics, Econometrics and Finance · Engineering · Psychology · Social Sciences · #Computer science #Economic Development and Digital Transformation #Economic and Technological Developments in Russia #Engineering #Feeling #Innovation, Sustainability, Human-Machine Systems #Interpersonal communication #Knowledge management #Psychology #Social psychology #Work (physics)
paper · doi:10.1177/0008125619863436
published in California Management Review 61(4), 43-65 (SAGE Publishing)
openalex publication_date 2019/07/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/25
The capability of AI is currently expanding beyond mechanical and repetitive to analytical and thinking. A “Feeling Economy” is emerging, in which AI performs many of the analytical and thinking tasks, and human workers gravitate more toward interpersonal and empathetic tasks. Although these people-focused tasks have always been important to jobs, they are now becoming more important to an unprecedented degree. To manage more effectively in the Feeling Economy, managers must adapt the nature of jobs to compensate for the fact that many of the analytical and thinking tasks are increasingly being performed by AI, and, thus, human workers must place increased emphasis on the empathetic and emotional dimensions of their work.