In 2025, the popularity of AI music creation tools is changing the landscape of the music industry. In January this year, a song titled "Ochikan is Actually Me" created by a Genshin Impact player using game dialogue combined with the AI composition tool Suno received nearly 6.4 million views on Bilibili, sparking widespread discussions about the capabilities of AI in creation.
Programmers have become active participants in AI music creation. In March this year, programmer Yapie used tools such as DeepSeek and Make Best Music to create the song "Seven Days Lover" with the theme of "unrequited love" within a few hours. After being released on NetEase Cloud Music, the work quickly exceeded 2 million views and successfully sold the copyright for several ten thousand yuan. This case demonstrates the potential of AI music tools in lowering the barriers to creation and achieving commercial value.
The quality of AI-generated music has improved to the point where it is difficult to distinguish from human-made music. In July this year, the band Velvet Sundown, which has over one million monthly listeners, was exposed for having works actually generated by AI tools such as Suno, triggering discussions about transparency in AI music.
From market data, as of 2025, AI has generated over 100 million songs. Industry predictions suggest that AI music market revenue will reach $7 billion by 2026. This growth trend reflects the rapid penetration of AI tools in the field of music creation.
Creators' attitudes toward AI tools are changing. From initial resistance to gradual acceptance, many musicians are beginning to see AI as a creative aid rather than a replacement. Industry professionals point out that the core value of AI in music creation lies in "filling in the gaps"—helping ordinary people without musical skills realize their creative ideas, while also providing efficiency tools for professional creators.
In terms of technological development, experts predict that in the future, an "AI creation operating system" integrating text, images, and audio will emerge, further enhancing the convenience of cross-media creation. However, although AI can quickly learn and imitate the patterns of popular music, works with true emotional depth and cultural resonance still rely on the unique perspectives and life experiences of creators.
From a commercialization perspective, AI music creators mainly monetize through streaming platform revenue sharing, copyright sales, and commercial licensing. For individuals with technical backgrounds such as programmers, these side jobs have low technical barriers and short creation cycles, becoming a new source of income.
However, it should be noted that AI music creation also faces controversies regarding copyright ownership, originality identification, and platform rules. Some music platforms have already begun requiring creators to label AI-generated content to ensure transparency. Additionally, works that completely rely on AI may have limitations in artistic value and long-term competitiveness. How to integrate AI as a tool into personal creative styles remains a direction for creators to explore.
From an industry impact perspective, the popularity of AI music tools brings opportunities for creative democratization but also challenges traditional music production processes and copyright systems. The future role of AI in the music industry is likely not to completely replace human creators, but to form a new model of human-computer collaboration—AI handles technical execution and style imitation, while humans focus on emotional expression and creative direction.