A teenager can now generate a polished song in seconds using tools like Suno and Udio.

AI music production scales to millions of tracks per day and becomes hard to distinguish from human work with 97% of listeners failing a blind test.

Streaming platforms face an exponential flood: Deezer reports fully AI-generated uploads rising to ~75,000 per day by April 2026 (44% of new music) and tagged over 13 million synthetic tracks in 2025, while Spotify removed 75 million spammy tracks and added protections against misattribution.

Fraud is central, with Deezer finding up to 85% of streams on AI tracks fraudulent, and cases like the AI-created “Velvet Sundown” building real audiences before disclosure. The piece links this shift to Walter Benjamin’s “aura,” argues friction once filtered seriousness, and shows the public wanting labels, lower payouts, and consent for training data even as they can’t tell the difference.

Responses include tagging and de-recommending AI music, iHeartMedia’s “Guaranteed Human” policy, Grammy rule updates allowing AI tools but honoring humans, and US copyright decisions requiring human authorship.

Record labels simultaneously sue and license AI platforms, as attention economics and infinite supply threaten discovery and creator incomes, with projections of major revenue losses by 2028.