The Challenge
AI-generated music is growing fast, and it’s changing how music platforms work.
Every day, huge numbers of tracks made by algorithms are uploaded to Spotify, YouTube, and similar services. These tracks can be created instantly and at almost no cost. Because of that, they can flood playlists, search results, and recommendations, making it harder for human musicians to be seen or heard.
This doesn’t just affect discovery. It affects income. When automated music takes up more space, human artists earn less, even if their work is more original, personal, or meaningful.
The Feedback Loop
There’s also a longer-term problem. AI-generated music is increasingly used to train new AI models. When machines learn mainly from other machine-made music, styles start to …
The Challenge
AI-generated music is growing fast, and it’s changing how music platforms work.
Every day, huge numbers of tracks made by algorithms are uploaded to Spotify, YouTube, and similar services. These tracks can be created instantly and at almost no cost. Because of that, they can flood playlists, search results, and recommendations, making it harder for human musicians to be seen or heard.
This doesn’t just affect discovery. It affects income. When automated music takes up more space, human artists earn less, even if their work is more original, personal, or meaningful.
The Feedback Loop
There’s also a longer-term problem. AI-generated music is increasingly used to train new AI models. When machines learn mainly from other machine-made music, styles start to blur together, creating a toxic feedback loop. Over time, this risks turning music into endless variations of the same few ideas.
Soul Over AI exists to bring clarity to this space.
We are independently curated and maintained. The directory is built from community submissions, but every entry is manually reviewed. If this project is useful, you can support the ongoing maintenance and review work via Ko-fi
What We Do
We maintain a public directory that helps identify artists and releases that show strong signs of being AI-generated. We focus on patterns and publicly available information, not personal claims or assumptions. Our aim is to help listeners understand what they’re hearing and make informed choices.
We’re not against technology, and we’re not trying to ban AI. We believe people deserve transparency, and human musicians deserve a fair chance to be discovered in systems increasingly shaped by automation.