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AI Songwriting Nets Music Theory Novice Thousands of Yuan Monthly, Full-Genre Tracks in 40 Seconds
A man from Hangzhou, Zhejiang, with no formal music training or knowledge of music theory, now earns tens of thousands of yuan each month using AI tools—a story that has captured the industry's attention. His experience highlights how generative AI is transforming music creation, pushing the barrier to entry lower than ever before.
In his workflow, the man supplies creative direction or hums simple melodies, while AI handles everything else—writing lyrics, composing, arranging, and even performing. Thanks to this efficiency, users simply provide an image or a short prompt, and the system produces a polished song in about 40 seconds.
Music produced through this technology already exhibits a professional polish, easily spanning genres like pop, rock, classical, and electronic. The vocals and overall production quality are now comparable to human singers, making it difficult for casual listeners to tell whether the voice belongs to AI or a real person.
These developments not only demonstrate that AI-generated music is commercially viable, but also signal that AI is fundamentally reshaping how digital entertainment content is produced.
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A man from Hangzhou, Zhejiang, with no formal music training or knowledge of music theory, now earns tens of thousands of yuan each month using AI tools—a story that has captured the industry's attention. His experience highlights how generative AI is transforming music creation, pushing the barrier to entry lower than ever before.
In his workflow, the man supplies creative direction or hums simple melodies, while AI handles everything else—writing lyrics, composing, arranging, and even performing. Thanks to this efficiency, users simply provide an image or a short prompt, and the system produces a polished song in about 40 seconds.
Music produced through this technology already exhibits a professional polish, easily spanning genres like pop, rock, classical, and electronic. The vocals and overall production quality are now comparable to human singers, making it difficult for casual listeners to tell whether the voice belongs to AI or a real person.
These developments not only demonstrate that AI-generated music is commercially viable, but also signal that AI is fundamentally reshaping how digital entertainment content is produced.
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