Explosive Growth of AI-Generated Music: Over 10,000 Tracks Daily Amid Traffic Game and Industry Transformation

AI-generated music is experiencing explosive growth, with a large-scale output taking shape on a global level. According to data from French music streaming platform Deezer, over 10,000 AI-generated music tracks are uploaded to its platform every single day. In China, there have even been cases where creators uploaded 2,700 AI songs in one week, averaging more than 385 tracks per day. Behind these figures lies the combined effect of the popularization of AI music models like Suno and the advantages of low-cost creation, which has driven music production from a professional domain into an era of "mass creation". The global market size of music AI had already climbed to 1.49 billion US dollars by 2024, maintaining a compound annual growth rate of 16.3%.

The popularity of AI-generated music is particularly evident on content platforms such as Bilibili. Recently, AI-adapted jazz and R&B versions of the song *My Hometown, the Great Northeast* went viral in the platform’s parody content section. The related videos achieved a maximum view count exceeding 6.9 million, and even generated 2.98 billion topic views in a cross-platform promotion with Douyin. However, beneath the buzz lies an undercurrent of traffic competition: although platforms have not explicitly restricted the dissemination of AI works, there is a widespread lack of traffic support for them. Compared with original works by human creators, AI-generated music often struggles to enter core recommendation pools, and high-quality content may also suffer from diminished exposure due to the "tech-generated" label. This implicit traffic bias not only reflects platforms’ commitment to the value of content originality, but also exposes the fact that AI works have not yet gained full recognition in terms of content depth and emotional resonance.

The influx of massive volumes of AI-generated music is exerting a dual impact on the industry. On the positive side, the technology has drastically lowered the barriers to creation. Nearly 60% of independent musicians now use AI to produce music, and companies like Tencent Music have leveraged AI tools to create covers for 4 million songs and develop creative assistant functions, significantly boosting industry efficiency. Nevertheless, the negative impacts are equally prominent: the traffic pool has been severely diluted, and the 2024 statistic that only 0.0024% of global songs achieved over one million plays is set to deteriorate further, making it increasingly difficult for musicians to monetize their work. Even more challenging are the copyright and ethical issues — disputes such as suspected infringement in AI model training, ambiguous ownership rights of generated works, and vocal rights violations by "AI singers" are posing challenges to the existing legal framework. In the future, striking a balance between technological innovation and rights protection, and integrating AI-generated music truly into the content ecosystem rather than letting it become a mere traffic bubble, will be the core propositions that the industry needs to address.