AI music creates unease as it tops the charts DW 11/27/2025
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AI music creates unease as it tops the charts  DW  11/27/2025
"Can you trust your ears to tell man from machine when it comes to music? Most people can't, it seems. In a recent study by the streaming platform Deezer and market research company Ipsos, 97% of respondents could not tell the difference between musical tracks made entirely by AI and those made by humans. In other words, AI-generated audio is already really good."
"And it's already everywhere, including on the billboard charts: "Walk my Walk," from Breaking Rust an entirely AI creation, from instrumentals to vocals to image reached number one on the country digital song chart in mid-November. Then there is Xania Monet, a similar virtual artist with Gospel and R&B charting singles who was recently signed for $3 million (2.6 million) to a record label. And this summer, the band Velvet Sundown gathered 1 million Spotify monthly listeners before revealing itself as a "synthetic music project.""
"So how do listeners feel when they know a piece of music is AI-generated? Some studies have found that they like certain types of music less. Other studies, including one by Philippe Pasquier, the director of the Metacreation Lab for Creative AI at Simon Fraser University in Vancouver, have found no bias for or against AI-generated music. Part of this is because generative AI can be used in a myriad of ways that are not always clear to the listener."
Most listeners cannot reliably distinguish AI-generated music from human-made tracks, with a Deezer/Ipsos study finding 97% of respondents unable to tell the difference. AI-created songs and virtual artists have already charted and attracted major record deals, including an AI-made song reaching number one on a country digital chart, Xania Monet signing for $3 million, and Velvet Sundown amassing one million monthly Spotify listeners before revealing its synthetic nature. Listener attitudes are mixed: 52% feel uncomfortable not knowing origins, while studies show varying biases depending on how AI was used for composition, interpretation, or mastering. Ethical questions about enjoyment and disclosure arise.
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