The expansion of digital platforms and the diffusion of Generative AI have accelerated the integration of everyday practices into industrial value chains. This study aims to theoretically examine how “Living Culture Activities,” voluntarily perfor...
The expansion of digital platforms and the diffusion of Generative AI have accelerated the integration of everyday practices into industrial value chains. This study aims to theoretically examine how “Living Culture Activities,” voluntarily performed in contemporary society, can evolve into valuable assets within the content industry. To address this issue, the pre-creation phase (often overlooked in industry-oriented approaches) is conceptualized as the “Non-industrial Content Generation Stage,” encompassing the initial phases of voluntary play and skill accumulation. By introducing Massimo Airoldi’s concept of “Machine Habitus,” this study discusses how a “Hybrid Habitus,” emerging from the interaction between embodied human sensibilities and algorithmic data logic, may function as a key driver in creative processes. The mechanism of content transformation is structured as a five-step cyclical process: voluntary practice, augmented proficiency and hybrid habitus formation, digital formalization, participatory value authentication, and industrial re-contextualization. Platform affordance operates as a mediating mechanism that translates tacit knowledge into digital data, while social verification through algorithmic governance constitutes a conditional threshold for the potential conversion of such data into economic assets. This study systematizes the pathway through which living culture enters the creator economy and simultaneously highlights critical issues concerning self-exploitative labor and data sovereignty. Ultimately, it calls for integrated governance to overcome fragmented cultural policy structures and proposes a stage-based “ladder support strategy” as a policy alternative.