In this episode, we move beyond the headlines to explore the practical applications of AI in the music industry. We uncover how AI is becoming an indispensable tool for producers with functions like stem separation and automated mastering, and how it’s creating entirely new business models for independent artists. We break down the real numbers and strategies behind monetizing AI-generated music on global platforms. We also explore the double-edged sword of AI, from the ethical dilemmas posed by voice cloning and copyright infringement to the incredible possibilities it offers for musical restoration, as seen with The Beatles' final song. This episode is for any musician, producer, or tech enthusiast who wants to understand how AI is fundamentally reshaping the creation, distribution, and monetization of music today. **Key Takeaways:** - How can AI tools assist producers beyond simple song generation? - What does a real-world monetization case study on a platform like NetEase look like? - How much can you realistically expect to earn per 1000 streams with AI music in specific markets? - What are the major ethical and copyright debates surrounding AI voice cloning? - How did The Beatles' team use AI to restore John Lennon's voice for a new song? - What is stem separation and how has AI revolutionized this technology for remixing? - Is it possible to build a scalable, passive income stream with AI-generated music? - What are the pros and cons of using AI for mastering your tracks? Follow my YouTube: https://www.youtube.com/@chenran818 Listen to my music on Apple Music, Spotify or other platforms: https://ffm.bio/chenran818 Interested in how much money I made from AI music? Checkout this report: http://ranchen.org/music-earnings.html