Deezer disclosed that over 50% of its daily music uploads now consist of AI-generated tracks, with more than 90,000 such songs added each day in June alone. This flood of machine-made content threatens to overwhelm human artists on the streaming platform and raises questions about the viability of music curation at scale.
The figures underscore a broader crisis in digital music distribution. As AI music generation tools become cheaper and more accessible, uploaders can produce thousands of tracks with minimal effort or cost. These songs often target algorithmic playlists rather than human listeners, exploiting streaming economics where even tiny play counts generate revenue. Bad actors use the technique to game payouts or launder money through the platform.
Deezer's disclosure comes amid industry backlash against AI-generated music. Major labels, publishers, and artists have sued AI music companies over training data and royalty concerns. Rights holders argue that generative models trained on copyrighted works without permission represent theft of intellectual property. Some platforms now require disclosure when tracks use AI, while others face legal threats.
The streaming giant did not specify what action it plans to take. Other platforms like Spotify have struggled with similar problems. Removing or filtering AI tracks presents technical challenges and risks false positives that punish legitimate artists. Platforms must balance openness to new creators against protecting artist livelihoods and listener experience.
The core tension remains unresolved. Copyright frameworks predate AI music generation. Licensing agreements don't account for algorithmic composition or synthetic performances. Rights holders want compensation; platforms want scale; creators want protection. Until policy catches up with technology, AI-generated music will likely continue flooding distribution channels.