In this episode of the AI Music Podcast, we cut through the noise to give you a practical look at monetizing your AI-generated tracks. We explore how artists are leveraging AI to build massive music catalogs and why old-school digital download platforms might be a hidden gem in the age of streaming. We dive into a specific, real-world case study: earning $0.71 for every song downloaded on the iTunes Store. This sounds great, but there's a catch creators must navigate: a two-to-three-month delay in getting paid and seeing sales data. Is the higher per-download payout worth the long wait and uncertainty? We break down the pros and cons to help you decide if this strategy is right for you. What You'll Learn: • How does the iTunes download model truly compare to Spotify streaming for an AI musician? • What is a realistic earning potential when each download nets you a fixed $0.71? • Why does a 2-3 month delay in royalty reports exist and how can you plan your finances around it? • Is selling music downloads still a viable strategy in the current music landscape? • What are the essential tools to get your AI music onto major platforms like iTunes? • How can you use AI to build a large, profitable catalog of musical assets? • What are the key differences in marketing your music for downloads versus streams? Follow my YouTube: https://www.youtube.com/@chenran818 or listen to my music on Apple music, Spotify or other platforms: https://ffm.bio/chenran818 or interest in how much money I made from AI music? checkout this report: http://ranchen.org/music-earnings.html