Hyperdigimodernism: Asymmetrical Co-Authorship and the Reconfiguration of Selfhood, Agency, and Belonging under Platform Capitalism

This theoretical article introduces hyperdigimodernism as a conceptual framework for analyzing how artificial intelligence participates in contemporary digital culture. Existing approaches largely treat AI as infrastructural mediation that filters or organizes expression. This article argues that machine learning systems now operate as generative co-authors, participating directly in everyday meaning-making practices. Building on postmodern and digimodern accounts, it conceptualizes a historical shift toward asymmetrical co-production in which AI systems actively shape identity, agency, and collective belonging. Through theoretical genealogy and synthesis of empirical literature on influencer culture, three interrelated dimensions are elaborated: algorithmic co-authorship of selfhood, distributed agency between human intention and computational prediction, and algorithmically mediated retribalization. The framework specifies how AI’s generative role operates within platform-based political economies, offering new conceptual vocabulary for understanding how machine learning reconfigures authorship, decision-making, and community formation under contemporary digital conditions.