China is emerging as a global leader in the commercialization of AI-generated music, demonstrating how artificial intelligence is reshaping the creative economy. In a striking example, 28-year-old programmer Yang Ping from Chengdu sold the rights to a fully AI-composed track in just two hours for 50,000 yuan ($7,238), illustrating the unprecedented speed at which AI content is being produced, monetized, and scaled in China.
Yang’s track, Seven-Day Lover, was created using AI models that emulate the musical style of popular artists, capturing existing aesthetic preferences and quickly racking up millions of views. Over nine months, Yang reported earning more than 200,000 yuan simply by leveraging AI music creation, highlighting the low barrier to entry and rapid revenue potential in this emerging field.
China Leads in AI Music Development
At the Zhongguancun Forum in Beijing, Kunlun Tech unveiled its latest Mureka AI music model, building on a prior version that topped global rankings in both vocal and instrumental categories. Fang Han, CEO of Kunlun, emphasized that the model is updated every three months, reflecting both China’s engineering capabilities and its expansive application scenarios.
Commercial applications are proliferating. AI singer Yuri, who garnered millions of views with her debut video, has since been appointed Digital Exploration Creative Officer by The North Face, securing cross-industry partnerships in tech, gaming, and automotive sectors.
According to market consultancy Grand View Research, the global generative AI music market is projected to reach $2.8 billion by 2030, with the Asia-Pacific region—led by China—emerging as the fastest-growing segment. QYResearch projects that China’s AI music software market alone could approach $600 million by 2032.
Legal and Ethical Challenges
Despite rapid growth, AI music faces significant legal and ethical hurdles. The key issues include the copyright status of AI-generated tracks, the legality of using copyrighted works for AI model training, and potential infringement risks. Liu Zhijun, a lawyer at Beijing Bairui Law Firm, noted that current regulations do not clearly define who owns the rights to AI-created content, creating uncertainties for both creators and investors.
“Questions about fair use in AI training and copyright ownership for AI outputs remain unresolved,” Liu said, underscoring the need for updated frameworks as AI continues to scale.
Implications for the Global Music Industry
Experts suggest that AI is not replacing human creativity but driving the next phase of the music industry. By automating composition, production, and distribution, AI expands creative possibilities, introduces new business models, and accelerates time-to-market for musical content.
For investors and international players, China’s AI music sector represents a fast-moving, high-potential opportunity. The combination of technical innovation, market scale, and monetization pathways makes the Chinese AI music ecosystem a key indicator of the future global digital economy.
Huang Zongquan, a professor at the Central Conservatory of Music, summarized the trend: “AI enriches both the form and content of music while opening up new business models. It is a driver of growth, not the end of creativity.”