It`s All About Speed: AI`s Impact on Workflow in Music Production

Fuente: arXiv
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Main Authors: McClellan, Finn, Morreale, Fabio
Format: Preprint
Published: 2026
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author McClellan, Finn
Morreale, Fabio
author_facet McClellan, Finn
Morreale, Fabio
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2605_29931
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle It`s All About Speed: AI`s Impact on Workflow in Music Production
McClellan, Finn
Morreale, Fabio
Artificial Intelligence
Audio and Speech Processing
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.
title It`s All About Speed: AI`s Impact on Workflow in Music Production
topic Artificial Intelligence
Audio and Speech Processing
url https://arxiv.org/abs/2605.29931