Music streaming platform Deezer recently released a report showing a sharp increase in AI-generated music uploaded to its platform, now accounting for nearly 44% of daily song uploads. According to the data, Deezer receives about 75,000 AI-generated songs every day, exceeding two million songs monthly.

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The rapid rise of AI music is remarkable. In the past year, this once niche area has become quite significant. The emergence of music generation platforms allows users to create complete songs with simple prompts. This trend reflects a shift in how music is created and distributed.

However, Deezer noted that despite the surge in uploads, actual listening behavior shows different trends. Currently, AI-generated tracks account for only 1% to 3% of plays on the platform, indicating that while supply is increasing, demand remains limited.

The rise of AI-generated music has raised many concerns in the industry, one of which is fraud. Deezer estimates that much of the play data for AI tracks is generated by bots, thereby manipulating royalty income. Additionally, issues of originality and copyright have drawn attention, as many AI tools' training data includes existing music, sparking debates about whether these systems use artistic works without permission.

To address this, Deezer has taken more proactive measures than some competitors. The platform introduced tools to detect and label AI-generated tracks, removing these songs from recommendation algorithms and, in some cases, devaluing them monetarily.

For users, the short-term impact may not be obvious. Since AI-generated songs make up a small share of plays, most users are still enjoying human-created music. However, as upload volumes continue to grow, users may encounter AI-generated tracks more frequently in niche music genres or algorithmically curated playlists. Deezer's labeling system aims to provide transparency, helping users distinguish between AI-created and human-made content.

In the future, the rapid development of AI-generated music means the industry is facing a turning point. Streaming platforms may need to introduce stricter policies, improve detection systems, and establish clearer monetization and copyright rules. Deezer has already taken the lead in this area, actively labeling and filtering AI content. Other platforms such as Spotify and Apple Music are also starting to develop corresponding policies. As AI tools become more widespread, the number of generated songs is expected to increase further. The current challenge is how to manage this growth while ensuring the value of human creativity is not affected.