From “Thinking” to “Feeling”: An Analysis of the Transformation of the Feeling Economy Driven by Artificial Intelligence

Abstract

The rapid development of artificial intelligence has catalyzed the transition from a thinking economy to feeling economy, where emotional and interper-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 value, seeking products that enhance psychological well being and social identity, as explained by evolved utility theory and Maslow’s hierarchy of needs. Traditional 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 intelli-gence over technical skills, with elastic labor supply moderating wage pressure. Emerging industries, like AI-driven products. This essay explores the implica-tions of this economic transformation, highlighting opportunities for innovation and challenges like potential unemployment, while forecasting a future 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.