Music streamer Deezer says more than 50% of daily uploads are AI-generated

2026-07-21 · Source: AI News & Artificial Intelligence | TechCrunch · Field: Media & Entertainment — Digital Media & Streaming, Entertainment Technology & Innovation, Artificial Intelligence & Machine Learning · Depth: Fundamental Awareness, quick

Summary

Music streaming service Deezer reports that over 50% of its daily uploads are now AI-generated tracks, a significant increase from 10% in January 2025. The volume peaked at 90,000 tracks per day in June 2026. In response, Deezer is implementing new measures, including removing AI-generated tracks that have not been streamed in the past six months or are linked to fraudulent streaming activity. CEO Alexis Lanternier emphasized the company's commitment to combating fraud and protecting artists' rights. Deezer has also developed and shared its AI music detection technology, capable of identifying tracks from models like Suno and Udio, and recently launched a tool to scan Apple Music and Spotify playlists for AI content. Other platforms show varied responses, with Bandcamp banning AI music and Tidal cutting off monetization, while Apple Music and Spotify have labeling or policy systems.

Key takeaway

For AI Product Managers evaluating content moderation strategies, you should prioritize developing or integrating advanced AI detection tools. The rapid surge in AI-generated content, now over 50% of daily uploads on platforms like Deezer, demands proactive policies to manage content volume, prevent fraud, and protect artist rights. Consider implementing automated takedowns for unengaged or fraudulent AI tracks to maintain content quality and platform integrity.

Key insights

AI-generated music now dominates daily uploads on major streaming platforms, necessitating robust detection and policy responses.

Principles

• AI music upload growth is exponential.
• Platforms must define AI content policies.
• Detection tech is crucial for fraud.

Method

Deezer's method involves detecting AI-generated tracks, labeling them, and removing those with low engagement or fraudulent streams, while also sharing detection tools with other platforms.

In practice

• Implement AI content detection.
• Define clear monetization rules.
• Remove unengaged AI-generated content.

Topics

• AI Music
• Music Streaming
• Content Moderation
• Fraud Detection
• Digital Rights
• Deezer

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Product Manager, Executive, Tech Journalist

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI News & Artificial Intelligence | TechCrunch.