Here's a figure to understand - 71% of musicians are using AI to separate stems, not to replace themselves.
The debate about AI and music has been almost entirely about text-to-song generators. The actual data shows that's what the least number of musicians use AI for. Most are using it for stem separation, backing tracks, ear training, and mixing assistance - tools that make their practice more viable, not tools that replace it.
Bottom line - musicians are still making music. I think they always will. No-one can replace passion with technology. The consent and royalty dilution problems are real. The training data problem is real. Seven million AI-generated tracks are being uploaded every day and they are absolutely affecting the royalty pool. None of that is resolved by pretending the 71% using AI as a tool to enhance their practice are doing the same thing as the content farms flooding distribution infrastructure with synthetic material. They are not.
The Pack's position is about what kind of content the platform supports, not about which software musicians use to make it. Keeping those two questions distinct matters for the quality of the argument - and for the working musicians who don't need to be told the tools they rely on are disqualifying.
New blog explores what musicians actually use AI for, and why conflating different uses has been confusing the conversation.
👉 https://www.packmusic.au/blog/the-71-percent
#AIandMusic #MusicIndustry #IndependentArtists #AIethics #MusicTechnology #ThePackMusic #HumanCuration #ArtistRights








