Why AI music quickly becomes a problem

HAVEN’s track “I Run” became a viral hit, generating over 13 million streams and gaining massive traction on TikTok.
Shortly afterwards, the song was removed from Spotify because it violated the impersonation policy.
Only later did it become public that the vocals were recorded on a smartphone and then processed using Suno, a controversial AI music platform.

AI vocals are barely recognized

The core issue is that the AI generated vocals sounded so convincing that most listeners did not notice the difference.
A recent study even shows that 97 percent of listeners cannot reliably distinguish AI music from human made music.
This is exactly what makes DSPs cautious, because questions around ownership, rights and transparency often remain unresolved.

Why such songs are quickly blocked

DSPs react strictly when:

• Vocals are generated entirely by AI
• Platforms such as Suno are involved
• The source of the training data is not transparent
• There is a risk of vocal imitation

As soon as doubts arise, a track is often taken down, even if it is already going viral.

Using AI sensibly

HAVEN himself states that AI is mainly a source of inspiration for him.
Sketches, sound ideas and creative direction can benefit from AI support.
Full AI productions, especially when it comes to vocals, remain highly problematic.
This hybrid approach is currently the safest and most widely accepted option across DSPs.

AI can produce hits, but it also comes with clear limitations.
The case of “I Run” highlights how important transparency, ownership and responsible use of AI tools have become.
Artists who use AI as a creative tool rather than a replacement stay on the safer side.
At dig dis!, we support artists and labels in publishing releases cleanly and securely, even when AI tools are part of the workflow.

PS.
Following the suspension of the AI version of “I Run”, a revised version of the track is now available again on streaming services.
Instead of AI generated vocals, the new version features a real female vocalist.
This ensures compliance with DSP guidelines, particularly regarding impersonation and transparent vocal sources.
The case shows how artists and labels can respond to restrictions in practice:
If AI elements become problematic, a newly recorded version can protect the release and make it officially available again.