arXiv:2605.29931v1 Announce Type: new Abstract: 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,
The proliferation of AI tools has reached a critical mass in creative industries, making their impact on established workflows a pressing subject for ethnographic study.
This paper offers direct, qualitative insight into how professional creatives are currently experiencing and adapting to AI integration, revealing tensions around speed, control, and creative agency that are broadly applicable across white-collar sectors.
The understanding of the specific friction points and benefits AI introduces into creative professional workflows is enhanced, particularly regarding efficiency demands versus creative integrity.
- · AI software developers
- · Music tech companies
- · Professionals skilled in AI integration
- · Consumers of creative content
- · Traditionalists in creative fields
- · Professionals resistant to AI tools
- · Companies relying on slow, manual workflows
Increased adoption of AI tools in music production to meet demands for speed and efficiency.
A shift in skills required for music producers, emphasizing AI proficiency and workflow optimization.
The potential for AI-generated music to become indistinguishable from human-created content, questioning authorship and intellectual property.
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Read at arXiv cs.AI