“Music producers are rejecting AI”: Study reveals over 80% of producers are against AI-generated songsThere have been few topics at the forefront of producers’ minds in 2025 quite like artificial intelligence. Hell, it’s been the conversation of the entire world this year, pretty much. But for all its hype, how much are musicians and producers actually leaning on AI in their work?
According to a new global study conducted by sample clearing platform Tracklib, on the whole, music producers are “rejecting” AI, with only 6% using generative tools regularly in their work.

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The study – dubbed Music Producers & AI 2025 – examines “how producers think about, adopt, and pay for AI tools in their creative workflow”, and saw responses from 1,734 producers, representing the global producer market of “20 million” people, according to Tracklib.
The results show a pervading distrust or dislike of AI in music production, with only 17% actively in favour of the technology, 45% neutral and a massive 38% actively against it.
While AI music production tools are now widespread, the study notes that adoption of these tools remains somewhat limited; of the 32% of producers who say they use AI tools, most of these are with assistive use cases such as stem separation, EQ and mastering. 
Only 6% of producers admit to using fully generative tools like prompt-based song creation, and a massive 82% are against full song generation using text prompts.
Despite the increasing prevalence of AI artists on streaming platforms like Spotify – take the Velvet Sundown, for example, or Xania Monet – 78% of those surveyed said fully AI-generated music should not be allowed on streaming platforms. But if such tracks remain listed, 81% want these platforms to clearly label music that has been produced partially or wholly using AI. And 83% support mandatory disclosure of AI use by producers themselves.
“Producers clearly separate assistive AI from generative AI,” says Andreaas Liffgarden, Head of Catalog & Chairman of Tracklib. “Stem splitting, EQ, and workflow accelerators are widely accepted. But when it comes to full-song generation, the attitudes shift sharply towards scepticism, concerns about artistry and copyright.”
Despite the results of the study showing a lean towards AI scepticism, AI in music continues to boom. Earlier this week, it was revealed that Suno, one of the biggest AI song generation platforms, had secured $250 million in its latest funding round, meaning it’s now valued at 2.45 billion.
Read the full global study on AI usage in music production at Tracklib.
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