The presence of artificial intelligence in music no longer seems to be a marginal phenomenon.

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According to MusicRadar, SubmitHub analyzed more than one million pieces of music using its SH Labs detector and found that nearly 40% of the music released in July showed some form of AI use.

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Of that total, 23.2% was reportedly fully generated with artificial intelligence, while another 15.3% included AI-generated audio elements that were later modified or processed by humans.

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This shows that the challenge is not only identifying whether a song used AI or not, but understanding how it was used, in which part of the process, with what level of human involvement, and how accurately platforms can detect it.

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A song may have used AI for a voice, a beat, a texture, lyrics, a reference, or even a full production. But if that information is not declared, detected, or properly classified, artists, labels, distributors, curators, and listeners are left in a gray area.

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And that gray area can only continue to grow.

For the music industry, this conversation is starting to demand clearer categories: fully AI-generated music, AI-assisted music, partial use of generative tools, substantial human involvement, authorized rights, and accurate metadata.

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Clearly declaring how a work was created can help prevent conflicts, build trust, and distinguish creative uses of AI from mass-generated content.

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AI is already part of the musical landscape. The question now is not only whether it will be present, but how we will recognize it, organize it, and differentiate its uses within an increasingly complex ecosystem.