AI Music Podcast

About AI Music Podcast

AI Music Podcast Get your daily five-minute shot of the future of sound. Each weekday, host breaks down the hottest breakthroughs in generative audio, music-making AI tools, machine-learning composition techniques, and the knotty legal questions that come with them. Whether you’re a producer hunting for the next creative superpower or a curious listener wondering how algorithms remix your favorite songs, we’ll keep you in the loop—fast. Expect bite-sized news round-ups, mini-deep-dives on research papers, quick creator tips, and occasional guest pop-ins from the engineers, artists, and entrepreneurs shaping tomorrow’s music industry. No fluff—just actionable insights, delivered in the time it takes to finish your coffee. 🎧 New episodes every weekday morning. Subscribe, review, and share to support indie AI audio! — Love what you hear? Follow me on YouTube: https://www.youtube.com/@chenran818 and stream my tracks: https://ffm.bio/chenran818

Publisher

Ran Chen

Category

technology

Language

en

Explicit

No

First episode

9 Jun 2025

Latest episode

31 Jan 2026

Latest episodes

83 of 207 episodes have a transcript.

1. 

   31 Jan 2026TRANSCRIPT

   AI Music & YouTube Content ID: The Passive Income Machine

   This episode explores how AI music creators utilize YouTube's Content ID system to generate passive income by claiming ad revenue from their music's use in other videos.

2. 

   30 Jan 2026TRANSCRIPT

   The AI Music Gold Rush: Earning Passive Income on Stock Libraries

   This episode unpacks the lucrative world of selling AI-generated music on stock music libraries. We explore how creators are leveraging AI to build massive catalogs on platforms like AudioJungle, Pond5, and Shutterstock, turning prompts into a reliable source of passive income. Learn about the business model, the most profitable niches, and the strategies top contributors use to generate steady monthly revenue from licensing fees. We shift the perspective from seeing AI as just a tool to viewing it as a powerful business partner for scaling a creative venture. Instead of spending days composing one song, you can curate an entire portfolio. Case Study: Imagine a marketing agency on a tight deadline needing a 45-second, upbeat corporate track for a client's new ad. After searching for hours, they're frustrated. Then, they find your AI-generated portfolio, which not only has the perfect track but also includes 15, 30, and 60-second versions. They purchase the license instantly for $60. For them, it’s a project saved. For you, it’s passive income earned from a track you curated in minutes. This episode teaches you how to be that solution provider. Key Takeaways: 1. How can you build a catalog of 1,000 AI tracks without being a traditional musician? 2. Which niche genres are consistently the most profitable on platforms like AudioJungle? 3. What is the "long tail" strategy and how does it create a stable monthly income? 4. Why are 15-second and 30-second edits just as important as the full track? 5. What crucial metadata and keyword mistakes can make your music invisible to buyers? 6. How much can you realistically earn per license for a corporate or ambient track? 7. Is the stock music market too saturated, or is there still a massive opportunity for AI creators? 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

3. 

   29 Jan 2026TRANSCRIPT

   The AI Music Gold Rush: Earning Thousands as a Udemy Instructor

   This episode explores how instructors on platforms like Udemy and Teachable are building profitable businesses teaching AI music, earning thousands monthly and leveraging courses for further opportunities; this is not an interview.

Inside a recent episode

AI Music & YouTube Content ID: The Passive Income Machine

Published 31 Jan 2026 · Transcript excerpt

[…] The system is designed to help rights holders identify and manage their content on YouTube. Major record labels use it to claim revenue from songs, but now it's accessible to independent AI artists. Here is how it works. An AI Music Creator generates a track, perhaps a 10 -minute lo -fi beat or a one -hour ambient soundscape for meditation. They then use a digital music distributor like Route Note or DistroKid to upload their music. During this process, they can opt in to have their tracks included in YouTube's Content ID database. Once the music is in the system, YouTube's algorithm automatically scans every video uploaded to the platform. […]

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

YouTube views

41,001

Score snapshot 15 Sept 2025

Apple Podcasts (US)

3.0 / 5

4 ratings

Podcast Authority Score: 66 / 100

A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.

Quality

97

Social presence

0

YouTube

85

Engagement

0

Contact AI Music Podcast

Guest appearances

Books guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.

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