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

Bin Zhou

No qswzc_v2, OSF Preprints from Center for Open Science

Abstract: This study investigates the transformative impact of generative models on social paradigms, highlighting a shift from predominantly result-oriented frameworks to those that prioritize process orientation. Through a comprehensive literature review, interdisciplinary analysis, and multi-domain case studies, this study examines how generative models influence work, learning, and innovation methods, fostering deeper engagement with process-oriented practices. The findings reveal that generative models diminish the static value of answers by making them easily replicable, while amplifying the significance of inquiry and exploration as dynamic, generative processes. This supports our hypothesis, demonstrating that questioning serves as a critical mechanism linking technical innovation with social adaptation and evolution. Furthermore, a process-oriented paradigm offers a pathway to addressing humanity's "crisis of meaning" by emphasizing inquiry and engagement over static outcomes. In addition, the applicability of this process oriented framework extends to market communication, where generative models enable interactive and co creative brand–consumer relationships. This study underscores the profound interplay between technological advancements and societal evolution, calling for intentional and proactive strategies to navigate the implications of generative AI.

Date: 2025-12-05
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:qswzc_v2

DOI: 10.31219/osf.io/qswzc_v2

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