If There Is AI in a Recording, Where Is the Human?
Human contributions, creative choices, the history of creation and why credits should tell the truth.
Real experiments from the working life of an independent artist — creation, AI-assisted production, sound, audience behaviour, releases, promotion, data, failures and discoveries.
Not tutorials about buttons. Field research about what technology changes in real creative work.
Human contributions, creative choices, the history of creation and why credits should tell the truth.

Notes after attending the Music & IP webinar: metadata, credits and the people behind the sound.
Why Spotify pre-save still fails to fully accomplish its main purpose — even with paid tools, better design and fewer steps.
Suno, BMG, and the new architecture emerging between generative AI, rights holders, artists and the music market.
Where AI music is measured, how it compares with human-led releases, and what chart success really tells us in August 2026.
A comparative study of authorship, moral rights and economic ownership across the EU, UK, US, Russia and selected CIS jurisdictions.
Why official figures can be accurate within their methodology while still missing much of AI-assisted and hybrid music production.
Technical signs, file provenance, and why confidence about the origin of a recording is not the same as proof.
How automated music factories differ from responsible AI-assisted creation—and why artificial streams are only one part of the system.
Why download limits may be very good news—and why every track entering a professional production process needs a documented history.
The AI music market is moving from prompt-to-song generation toward full production ecosystems built around editing, voices, references, stems, rights and provenance.
What Klangio and Basic Pitch actually heard when tested on the same vocal stem and full rock mix from “When the Soul Aches.”