AI music is turning a months-long creative craft into a minutes-long workflow
创业邦 · wechat · 2026-07-28
AI music is compressing a months-long craft into minutes, and it is already reshaping jobs
The article argues that Suno V3 and similar tools have moved AI music from novelty to production-grade output. Streaming and platform data are used to show the scale: Deezer says AI-generated tracks made up about 44% of daily uploads by April 2026, while Tencent Music’s AI composing tool reportedly generates more than 5,000 tracks a day at roughly one-tenth the cost of human creation.
Three musician stories show the disruption
- Liu Xiaoxu, a 20-year music-company owner, tested Suno V3 and immediately concluded his business was in danger. He cut his team by half, kept only the people needed to support remaining legacy work, and pivoted into AI music and AI singer content.
- Zhou Zhou, a music student, became an AI-music intern making about RMB 3,000 a month while generating around 20 songs a day. His work revolves around prompt-driven generation, remixing hot BGM, and repeatedly editing outputs until they clear copyright checks.
- Yao Lan, an independent musician, represents the slow human workflow: one song could take 9 months and 40 demo versions. She says AI music has made the path for independent creators much narrower.
The core thesis
The piece says AI is winning because most commercial music now only needs to be useful: background tracks for short videos, short dramas, ads, live streams, and digital avatars. In those settings, speed, cost, and fit matter more than artistry. The article contrasts that with the carbon-based music era, where songs were crafted over months by trained musicians, and concludes that the market is increasingly rewarding scalable, disposable sound over “great” songs.
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