Deezer Says It’s Getting Spammed with AI Songs

Why It Matters

The flood of AI‑created songs strains streaming operators’ resources and threatens revenue streams for human creators, prompting industry‑wide calls for stricter content controls.

Key Takeaways

• AI tracks make up 44% of Deezer’s daily uploads.
• Only 1‑3% of listener time is spent on AI music.
• Deezer processes ~75,000 AI songs per day, two million monthly.
• Platform plans to demonetize AI songs and urges industry action.

Pulse Analysis

The explosion of generative‑AI models has turned music creation into a low‑cost, high‑volume activity. Tools such as OpenAI’s Jukebox, Meta’s MusicGen, and various open‑source synths can produce a full track in minutes, prompting creators to upload thousands of variations daily. Streaming services, which rely on user‑generated content to expand catalogs, now face an unprecedented influx of AI‑generated songs that often mimic popular styles. While these tracks add novelty, they dilute the human‑crafted repertoire and challenge listeners’ ability to discover authentic music.

Deezer’s latest data shows AI songs represent 44 % of daily uploads, yet they capture only 1‑3 % of listening time. At roughly 75,000 AI tracks per day—two million a month—the platform incurs substantial moderation expenses, from automated detection to manual review. To curb the financial drain, Deezer has introduced transparent tagging of AI content and begun demonetizing these tracks, effectively removing ad revenue and royalty payouts. The company’s call for industry‑wide safeguards reflects growing pressure on streaming services to balance algorithmic abundance with the protection of human creators.

The surge in AI‑generated music raises broader questions about copyright, royalty distribution, and platform responsibility. Regulators in the EU and U.S. are examining whether AI‑created works should be eligible for mechanical licenses, a debate that could reshape revenue models for both labels and independent artists. For streaming platforms, investing in robust detection systems may become a competitive differentiator, signaling commitment to creator rights. As AI tools become more accessible, the industry will need clear standards and collaborative frameworks to ensure that the digital music ecosystem remains sustainable and artist‑centric.