Social Paradigm Shift Promoted by Generative Models: A Study on the Trend from Result-Oriented to Process-Oriented Paradigm

This study explores the transformative impact of generative models on social paradigms, focusing on the shift from a predominantly result-oriented paradigm to one that emphasizes process orientation. We hypothesize that the widespread application of generative models will promote this paradigm shift, driven primarily by their technical principles and significant process-oriented features. Through a comprehensive literature review, case studies, and interdisciplinary analysis, we examine how the technical characteristics of generative models facilitate this paradigm shift across various fields. The findings indicate that these models are reshaping work practices, learning methods, and innovation processes, emphasizing the importance of process, thereby supporting our main hypothesis. In our conclusions, we predict four major long-term social changes: 1) In an algorithm-driven future, a process-oriented paradigm will offer new approaches to resolving the "crisis of meaning"; 2) The emergence of "fluid reality," blurring the boundaries between virtual and physical spaces; 3) The development of dynamic ethical decision-making frameworks capable of adapting to complex real-time scenarios; 4) Innovation will exhibit a unique duality: both humans and generative AI will play key roles in the innovation process, each predominantly leading different types of innovation. Overall, this study underscores the profound interaction between technological advancement and social evolution, emphasizing the need to actively and thoughtfully shape our collective future in the era of generative AI. Future research may further explore the long-term effects of this paradigm shift and cross-cultural differences.