The missing middle in AI native music production: Compression, editorial musicianship, and governance in the generative stack

Abstract

This article examines the structural reconfiguration of contemporary music‐making within AI‐mediated production environments. From a historical perspective of music technology, it compares algorithmic composition, electronic instruments, and Digital audio workstations (DAWs) to argue that the present transition represents not a rupture but a compression of musical practice. As generation, transformation, evaluation, and distribution converge within an AI‐native stack, the intermediate layer of musical work is increasingly absorbed into system‐level processes. Judgments that once appeared as externally visible artifacts, such as sketches, edit histories, chord charts, and revision processes, are now executed within integrated computational environments. The so‐called “missing middle” therefore signals not disappearance but a relocation of musical decision making. Prompt‐based creation is reframed as a shift from writing to direction, and as iteration becomes inexpensive, revision moves from stepwise rewriting toward regeneration‐centered cycles. In response, this article proposes the reconstruction of a “constructive middle” suited to AI‐native production, redefining controllability and revisability as core design parameters of AI‐mediated creative systems. In doing so, it articulates the design and governance conditions under which controllable and accountable generative music systems can sustain creative depth within accelerated production infrastructures. For AI leaders and decision‐makers, this framework identifies four priorities beyond output quality and speed: inspectable intermediate states, constrained local editing, portable provenance, and workforce capabilities for directing and auditing generative systems.