Show summary Hide summary
The meeting of code and composition is reshaping pop and experimental music. From studio experiments to full albums, several high-profile artists have folded artificial intelligence into songwriting, sound design and performance. Below we profile four acts that pushed AI from novelty to a central creative tool.
Holly Herndon: Sculpting Human Choruses with Machine Intelligence
Holly Herndon built a public reputation by combining vocal performance with cutting-edge tech. Her work treats the human voice as both instrument and dataset.
Nas slams music industry over disrespect: teases new music, vows to address it
1992 vocal performances: 3 jaw-dropping moments that still amaze
How she uses AI in composition and performance
- She developed a custom neural model to process and respond to live vocals.
- Her ensemble mixes trained AI “voices” with a real choir.
- Live shows become collaborative sessions between humans and algorithms.
Tools, sound design and impact
- Her approach uses machine learning to create timbres that are neither fully human nor purely synthetic.
- The result is music that asks who — or what — is singing.
- Her projects highlight ethical questions about agency, authorship and consent in music.
YACHT: Reimagining a Band’s Catalog with Generative AI
Indie pop band YACHT turned their back catalog into training data. They then used that data to co-write a record with neural networks.
Process and creative choices
- The band fed past songs into models to generate melodies and lyrics.
- Humans curated and rearranged AI outputs into finished songs.
- This workflow reframed the band as editors of a machine’s imagination.
Why their experiment matters
- YACHT made AI authorship visible. Fans saw how machine suggestions can be shaped into artistic choices.
- The project sparked debate about copyright, creativity and the role of training data.
Taryn Southern: Pop Songs Co-Produced by AI
Taryn Southern embraced AI early as a co-producer. Her album demonstrated how accessible tools can generate backing tracks and melodic ideas.
Practical uses in the studio
- She used commercial AI composition platforms to create chord progressions and arrangements.
- AI-generated stems were edited to fit her vocal performance and vision.
- The process accelerated idea generation and opened unusual sonic directions.
Lessons for independent musicians
- Southern showed that AI can be a creative collaborator for DIY artists.
- AI tools can lower the barrier for producing richly arranged pop music.
- The choice of prompts and curation remains fully human.
Grimes: Blurring Visuals, Voice and Machine-Made Sounds
Grimes has experimented with AI across sound, visuals and digital art. Her projects mix processor-driven ideas with pop sensibility.
Where AI appears in her practice
- She has used algorithmic techniques for vocal manipulation and texture design.
- AI-generated visuals and NFTs have been part of her creative output.
- Her public discourse often explores AI’s cultural and aesthetic implications.
Creative and commercial implications
- Grimes has pushed the idea of AI as collaborator and as a medium for art.
- By pairing machine tools with strong personal identity, she kept the artist center-stage.
- Her work highlights how AI can amplify an artist’s aesthetic instead of replacing it.
