This paper examines artificial intelligence (AI) as a form of infrastructural power that reshapes creativity, sustainability, and labor within contemporary music scenes. Moving beyond approaches that frame AI primarily as a neutral tool for composition and production, the study focuses on AI-mediated platforms, data-driven production environments, and recommendation systems, asking how these infrastructures reorganize the social, material, and symbolic conditions through which music is created, circulated, and valued in everyday musical life. Methodologically, the research combines scene-based analysis with qualitative interpretive perspectives grounded in cultural economy and critical platform studies (Straw 1991; Bennett and Peterson 2004; Hesmondhalgh 2019), tracing how creative agency, authorship, and musical labor are negotiated across human musicians, algorithmic systems, and platform infrastructures. Musical practices shaped within the Turkish context are approached not as a bounded case but as analytical intensifiers that render visible heightened forms of algorithmic visibility, platform dependency, and precarious labor within globally uneven music economies. The paper argues that AI reorganizes collective, affective, and experiential dimensions of musical work while redistributing value and recognition, thereby functioning as a regulatory infrastructure that contributes to the reproduction yet also the potential transformation of inequalities across global music worlds (Zuboff 2019; Couldry and Mejias 2019). By foregrounding lived musical experience alongside technological structures, the study contributes to ethnomusicological debates on creativity, labor, sustainability, and power in contemporary music.