Commentary on AI, creativity, and the evolving landscape of music production
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Throughout my career, musicians have always modeled other musicians—singers studying phrasing, drummers internalizing feel, guitarists chasing tone. That's not new. What's new is that modeling has become explicit. Here's why that matters.
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The debate isn't whether AI should exist in music. It's already here. The question is whether artists will use it responsibly, with intention, and with respect for their audience.
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Long before artificial intelligence entered music production, the industry had already made peace with imitation, abstraction, and modeling.
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Every generation of musicians inherits new tools. What changes is the surface—what hasn't changed is where authorship lives.
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For most of the history of recorded music, licensing flexibility came at a cost. AI doesn't change what music is—it changes how easily music can fit.
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History is full of great accidents. It's not full of great accidents that succeeded on their own. That distinction matters more than most creative debates admit.
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Long before AI entered the conversation, dance music had already crossed the lines everyone now pretends are new.
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For a long time, songwriting became invisible. Not unimportant—invisible. The song became a component, not the center.
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Before AI entered music, the industry had already made a decision about what music was worth.
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Think of AI re-renders the same way you think of a studio band doing multiple takes of the same song.
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