Not all AI in music is about generating songs. Publishers, collecting societies and labels are also beginning to use AI in the back office: matching metadata, processing royalties, managing catalogues and handling the data that moves money through the system. This rarely makes headlines, but it affects how accurately and how quickly you get paid.
Used well, it could help. Faster, cheaper processing should, in principle, leave more money to reach songwriters and composers rather than being eaten up by admin. The catch is that AI is only as good as the data it learns from. A society or publisher running it on messy records and patchy processes will get messy results, so the gains depend on the underlying systems being sound to begin with. This is early, and less tested than the generative side, so it is fair to wait and see whether the efficiencies turn into better returns for creators.
Some major music companies have also signalled that AI will take over parts of the work currently done by staff, which raises the same job questions facing every other industry. Complicated copyright and royalty questions still need a person who knows your catalogue and its history – an automated reply might miss key details that a question hinges on.
Similarly, if you use AI to write to your publisher or society yourself, read it back carefully before you send. Give it your dates and figures and it will usually keep them, but there is a risk that AI tends to fill in around things that you give it – for example, stating how a deal works, or what you are owed, in confident terms that can be wrong. The fluent tone makes those mistakes easy to miss, and the free models are often the worst at it. Keep the message to what you actually know, and cut anything the model has asserted that you cannot stand behind yourself.
