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AI tools are helping people upload huge amounts of computer-made songs to streaming platforms, raising questions about quality, pay, and discovery.
In short: Streaming services are getting flooded with AI generated music, and platforms are struggling to decide how to handle it.
Generative AI is making it easy for anyone to create songs by typing a prompt, like “make a sad pop ballad” (a prompt is just a written instruction). Tools such as Suno and Udio helped push this shift by letting users produce full tracks quickly, without needing music training.
This has led to a wave of AI generated tracks being uploaded to streaming services. Deezer said in September 2025 that 28 percent of the music uploaded to its platform was fully AI generated. By the end of 2025, Deezer said uploads had grown to more than 50,000 AI generated tracks per day, or about 34 percent of all uploads.
The Verge reports that listeners and musicians are frustrated. The concern is that large volumes of machine-made tracks can “water down” playlists, which are like curated shelves in a store. Another worry is money. If automated accounts stream these tracks at scale, they can pull listening payouts away from human artists.
Streaming companies now face a tricky balance. A full ban could be hard to enforce, and it could block legitimate experiments. But doing nothing could make it harder for people to find the music they actually want, and could increase conflicts about fake artists, mislabeled tracks, and who gets paid.
Source: The Verge AI