In recent years, progress in AI—especially the widespread adoption of large models and computing power infrastructure—has made clone music generation highly efficient and realistic. This technology, reliant on powerful chips, drives innovation but also brings negative consequences: a flood of fake tracks on streaming platforms. Musicians have expressed strong discontent, arguing that AI clones infringe on intellectual property. Historically, as early as 2023, multiple AI-forged Drake songs sparked controversy, and the problem has only worsened over the past two years, reflecting the downside of the AI industry trend—technology abuse that can disrupt the artistic ecosystem. Well-known artists from pop star Beyoncé to experimental composer William Basinski have encountered similar issues, with fake works streaming alongside legitimate tracks on platforms like Spotify. This underscores the critical role of computing power demand in AI-generated content and reveals the low-cost production of forgeries enabled by efficient large models.
Recently, Australian band King Gizzard & The Lizard Wizard became the latest victim. Lead singer Stu Mackenzie expressed anger and helplessness over AI clones in an interview, even lamenting, “We really are destined for destruction.” This highlights artists’ vulnerability to technological shocks and underscores the need to strengthen infrastructure protection—especially as the rapid expansion of the AI industry makes clone music easier to generate with widespread chips and computing power. Streaming giant Spotify has taken action, formally introducing impersonation policies and removing 75 million junk songs. This move aims to maintain content quality, but the fast pace of AI development complicates governance. Spotify’s case shows that in an AI-driven content ecosystem, platforms must continuously update their infrastructure to tackle emerging challenges.
According to Deezer data, 50,000 AI-generated tracks are uploaded to its platform daily, accounting for over 34% of its music library. This staggering figure reveals the scale of the AI clone music flood and reflects the central role of computing power demand in AI-generated content. Malicious actors exploit loopholes in music distribution systems, uploading AI clone tracks via third-party services like DistroKid rather than directly to Spotify, exposing the fragility of existing infrastructure. Ensuring the authenticity of uploader identities has become an urgent industry issue. Under the AI industry trend, strengthening identity verification and distribution mechanism innovation is essential—especially leveraging large model technology to enhance detection capabilities.