From “Thinking” to “Feeling”: An Analysis of the Transformation of the Feeling Economy Driven by Artificial Intelligence
The rapid development of artificial intelligence has catalyzed the transition from a thinking economy to feeling economy, where emotional and in-terper-sonal skills dominate over traditional cognitive tasks. This shift, driven by AI’s ability to perform thinking-based jobs, redefines consumer behavior and pro-duction strategies. Consumers increasingly prioritize emotional added val-ue, seeking products that enhance psychological well being and social identity, as explained by evolved utility theory and Maslow’s hierarchy of needs. Tradi-tional industries, such as Starbucks and BMW, adapt by embedding emotional reso-nance into products, leveraging AI to personalize experience and boost con-sumer loyalty. The labor market also evolves, emphasizing emotional intel-li-gence over technical skills, with elastic labor supply moderating wage pres-sure. Emerging industries, like AI-driven products. This essay explores the im-plica-tions of this economic transformation, highlighting opportunities for in-novation and challenges like potential unemployment, while forecasting a fu-ture where emotional value drives market competitiveness. This electronic document is a “live” template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document.
Authors
- Wen Deng (ORCID: https://orcid.org/0000-0002-4044-0284)
Institutions
- Hefei University of Technology (CN)
- Hefei University (CN)
Publication Details
- Journal
- Economics & Business Management
- Published
- 2025-07-20
- DOI
- https://doi.org/10.63313/ebm.9078
- Primary Topic
- Economic and Technological Innovation
- Type
- article
- Field-Weighted Citation Impact
- 0.00