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Facing a surge in convincing AI-generated music, including viral fake tracks mimicking artists like Drake and The Weeknd, the music industry is aggressively developing technologies to identify and manage synthetic content. The initiative goes beyond simply removing infringing material, aiming to proactively detect AI-generated songs early in the process, tag them with identifying metadata, and control their distribution. Detection systems are being integrated across the music ecosystem, from the training of AI models themselves to content upload platforms, rights licensing databases, and even music discovery algorithms. Matt Adell, cofounder of Musical AI, emphasizes the need for these infrastructural changes to ensure scalability and effective management of the burgeoning AI music landscape.