
When AI helps make the song, what stays yours?
A songwriter keeps AI away from the fun parts. An opt-in can reach the recording, voice and future work. Suno wants creation and listening to stay inside the same app.
Read the story →News, practical answers and guides for understanding what changes in AI music.

Jag vet, du är inte min reached No. 1 on Spotify Sweden, but its fully synthetic voice produced a different answer under IFPI's chart rules.
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BBL Drizzy began with a comedian's premise and lyrics, then passed through more than 100 Udio versions and a human decision about which one carried the joke.
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Where That Came From combined James Dupré's guide performance, two archive-trained Travis models, months of manual editing and the artist's own approval.
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Xania Monet's songs begin as Telisha Jones's poems and lyrics, then pass through a generative production pipeline that creates the voice and music.
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A Bilan collaboration, Sweden's Jacub hit and a Yesenin adaptation show why “AI song” no longer describes one creative process.
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The UK-based association is building a member voice around platform access, labelling, education and recognition for people who make music with AI.
Read the story →Honestly: no US court has answered this for music yet.
A work generated entirely by AI cannot be copyrighted in the US — the human-authorship requirement was affirmed by the D.C.
Yes — synthetic artist personas are legal and increasingly common, as long as the persona doesn't imitate a real identifiable person and you meet platform disclosure rules.
Suno currently grants commercial-use rights to songs made while subscribed to Pro or Premier; Basic-plan songs are non-commercial.
Increasingly yes — a growing class of contests exists specifically for AI music, and mainstream opportunities are adding explicit AI rules.
Cloning a recognizable artist's voice without permission is the most legally exposed thing you can do in AI music.
A sourced guide to whether AI-assisted and AI-generated artists can sell or finance music royalties, which platforms may consider them, what buyers will check, and how AI risk changes valuation.
A release checklist for separating copyright, tool permissions, voice and training consent, platform rules and proof of human work.
An outcome-first way to compare generators, vocal tools, editing, stem separation, rights tools and developer APIs.
A repeatable checklist for contests, open calls, grants, conferences and submission deadlines.
A low-noise system for separating product announcements, creative work, rights, research and business signals.