Global music distribution platforms are undergoing unprecedented technological transformation. According to the latest monitoring data from Deezer, the platform now adds 50,000 AI-generated tracks daily, accounting for 34% of total uploads—a year-on-year increase of over 800%. Empowered by computing resources, AI production teams like Breaking Rust can now produce multiple chart-quality works in a single day. Their track "Walk My Walk," powered by precise emotional algorithm design, has even sparked widespread social debate. Among the chart-topping AI works, a Dutch anti-immigration song was abruptly removed, exposing new challenges in content moderation. Although the platform denied any active intervention, this incident highlights the technical bottleneck of value alignment in AI creation.
Notably, the proliferation of distributed music distribution systems such as DistroKid now allows individual developers to produce professional-grade music using only consumer-level GPU devices—a feat made possible by the exponential performance improvements in chips in recent years.\n\nIndustry research reveals deeper implications: 97% of listeners cannot distinguish AI-generated music from human-composed works, a 23-percentage-point increase compared to 2022. Pioneering cases like Velvet Sundown demonstrate that Transformer-based music large language models have already overcome the "uncanny valley" effect. A Moore’s Law for the music industry is emerging—every 18 months, the quality of AI-generated works takes a perceptible leap forward.