It`s All About Speed: AI`s Impact on Workflow in Music Production
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Abstract (arXiv)
In this paper, we present the results of an ethnographic study into the impact of AI and automated tools on music production workflow. Focusing specifically on professional participants who identified as recording engineers, mixers, and producers, we discuss their usage of common AI and automated software, as well as their sentiments on the proliferation of these tools. We discuss tensions that may be created between users and automated tools in key areas such as the need for speed and efficiency, controllability, and maintaining creative agency, and how these tensions may be alleviated through tool design.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 22 references that are in the map. First posted on arXiv 28 May 2026.
Builds on
3 of 22 references.
References · 3
- 2020Automatic multitrack mixing with a differentiable mixing console of neural audio effectscited by 27
- 2022Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effectscited by 18
- 2025Exploring the Collaborative Co-Creation Process with AI: A Case Study in Novice Music Productioncited by 9
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