エピソード

  • Infinite Features: How AI Voice Models Are Revolutionizing Artist Collaborations
    2025/11/29
    The traditional artist feature is slow, expensive, and limited by geography. What if you could break down those barriers instantly? This episode explores the groundbreaking use of AI voice models to simulate featured artists, creating a world of infinite, immediate collaborations. We're moving beyond simple deepfakes and into a new economy of licensed digital voices. This technology enables unprecedented creative partnerships, allowing an indie producer in one country to feature a vocalist from another, all without leaving their studio. This isn't just a creative tool. it's a new model for generating collective streaming revenue. Consider the viral AI-generated Drake track. It was a creative feat that earned its creator nothing and sparked a legal nightmare because it was unauthorized. Now, imagine an alternative pioneered by artists like Grimes. what if you could legally license the AI voice of a talented vocalist, create the perfect topline for your track, and have a fully cleared, revenue-generating collaboration ready in days? That's the powerful, ethical future we're diving into. Key Takeaways: - How can AI voice models cut collaboration time from months to minutes? - What is the "Grimes model" for ethically licensing your voice and splitting royalties? - Can an indie artist really "feature" a major star using AI without getting sued? - What are the key legal hurdles to overcome before releasing an AI collaboration? - How does this technology change the economics of music for independent producers? - Will listeners accept music made with an AI-simulated voice as authentic? - Could AI voice licensing become a bigger revenue stream for artists than streaming? - What tools are available right now to create these AI vocal features? Follow my YouTube: https://www.youtube.com/@chenran818 or 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
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    2 分
  • The Automated Sync Machine: How AI Builds Music Catalogs for Ads and Film
    2025/11/28
    In this episode, we explore the revolutionary impact of artificial intelligence on the world of sync licensing. We break down how AI is automating every step of the process, from generating vast music catalogs to tagging them with detailed metadata and enabling creators to discover the perfect track in seconds. This is the new frontier for musicians, filmmakers, and content creators. We move beyond the traditional, gatekept model of music licensing to a new ecosystem where speed, volume, and precision are key. This shift is creating unprecedented opportunities for indie artists and AI music producers to get their work featured in ads, films, and viral videos, tapping into a multi-billion dollar market that was once out of reach. **What You'll Learn:** - Why is the traditional sync licensing process broken for small creators? - How can AI automatically analyze and tag a thousand songs in less than an hour? - What is "semantic search" and how does it let you find music with a YouTube link? - Can you really build a profitable, licensable music catalog from scratch using AI? - How are low-budget production houses finding affordable, high-quality music without a music supervisor? - What's the complete, automated workflow from music generation to getting paid? - Is AI creating a new "long-tail" market in the sync industry? Follow my YouTube: https://www.youtube.com/@chenran818 Listen to my music on Apple Music, Spotify or other platforms: https://ffm.bio/chenran818 Interest in how much money I made from AI music? Checkout this report: http://ranchen.org/music-earnings.html
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    2 分
  • AI Music: Go Global with Multilingual Cover Songs
    2025/11/27
    Have you ever created a song you believed had global potential, only to be stopped by the language barrier? The high costs of translation, hiring foreign vocalists, and studio time have traditionally made international expansion impossible for most independent artists, leaving significant revenue on the table. This episode breaks down how AI is completely shattering that barrier. We explore the revolutionary technology that allows you to translate your lyrics, adapt them culturally, and even have them sung in a new language using a clone of your own voice. Imagine your hit song being released in Spanish, Japanese, and French, all sounding authentically performed by you, without you ever speaking a word of those languages. This is the new reality of global music creation. What you'll learn: - How can AI clone your unique voice to sing in any language? - What is the difference between simple translation and true AI-powered cultural localization for lyrics? - How can you create localized remixes that cater to specific international music tastes? - What is the strategy to test your music's appeal in a new country before a full marketing push? - How does AI dramatically reduce the cost and time required to produce multilingual cover songs? - Can you truly maintain your artistic identity across AI-generated international versions? - What are the key AI tools that make multilingual music creation accessible to everyone? - How can you start building new, diversified revenue streams from non-English speaking countries today? 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
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    2 分
  • The AI Music Machine: Earning Passive Royalties on Spotify with Lo-Fi & Ambient Albums
    2025/11/26
    Have you ever dreamed of earning passive income as a creator? This episode unveils a powerful strategy to build a recurring revenue stream by leveraging AI to create and publish music. We dive deep into the world of functional music—lo-fi, ambient, and soundscapes—designed for massive audiences who need audio for sleep, study, and focus. Learn how to transform AI-generated sounds into a scalable music business on platforms like Spotify and Apple Music. We follow the case of a digital creator who, with no musical background, used AI tools to produce and release over 200 ambient tracks in three months. By optimizing album and track titles for search terms like "calm meditation" and "focus music for work," their catalog began generating thousands of streams daily from user-generated playlists, creating a hands-off income source that continues to grow with every new release. Key Takeaways: - Why is 'functional music' the perfect gold rush for AI creators? - What specific AI tools can you use to generate high-quality lo-fi and ambient tracks today? - How do you strategically title your albums and tracks to dominate search results on Spotify? - What is the step-by-step process for distributing hundreds of songs at a low cost? - How can a catalog of 500 AI songs generate a stable monthly income? - What are the most common mistakes people make when trying to earn royalties from AI music? - Is it possible to build a recognizable brand using only AI-generated content? - How do you curate AI tracks to create cohesive, professional-sounding albums? 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
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    2 分
  • AI Composers: Crafting Custom Soundtracks for Creators and Brands in Minutes
    2025/11/25
    Custom theme songs and branded audio have always been expensive and time-consuming, creating a high barrier for independent creators and small businesses. This episode explores how generative AI is completely changing the game, making personalized soundtracks accessible and affordable for everyone. We dive into how these new tools are empowering influencers, indie game developers, and entrepreneurs to build a unique sonic identity in minutes. Imagine you're an indie game developer on a tight budget. You need a memorable, adaptive soundtrack for your new game, but a composer quotes you thousands of dollars. The alternative is using generic, overused stock music that makes your unique game feel cheap. With AI, you can now generate an entire original, royalty-free score that adapts to your gameplay, all for less than the cost of a single design asset. This is the revolution we are talking about. Key Takeaways: - How can a simple text prompt generate a complete, unique theme song? - What is the real cost and time saved when using AI music over a human composer? - How does AI create adaptive soundtracks for video games that react to the player? - Why is a unique “sonic identity” crucial for influencers and brands today? - Are AI-generated music tracks truly safe and legal for commercial use? - Which AI tools are leading the market for custom audio branding? - How can you start creating your own personalized jingles with no musical skill? - What does this disruption mean for the future of professional musicians? 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
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    2 分
  • From Prompt to Profit: Selling AI Music Packs on Fiverr, Gumroad, and AudioJungle
    2025/11/24
    The creator economy has an insatiable need for background music. While this used to be a major expense and a legal headache for creators, AI music generation is creating a new gold rush. It's now possible for anyone with a good ear to create and sell high-quality, royalty-free music packs. This episode is a practical guide for turning AI compositions into a real revenue stream. We explore a three-tiered platform strategy, breaking down exactly how to leverage Fiverr for custom work, Gumroad for building your own digital storefront, and AudioJungle for reaching a professional market. This is your blueprint for starting a music business in the AI era. A creator spends hours scrolling through stock music sites for the perfect track, only to find the licensing is too expensive or confusing. What if you could sell them a "20-Track Upbeat Vlogger Pack" for $15 that you created and packaged in a single afternoon using AI tools? You solve their problem instantly while building your own business. What You'll Learn: - How can you turn simple text prompts into sellable music packs? - What's the strategic difference between selling on Fiverr versus Gumroad? - Which platform is best for starting if you have zero audience? - Why is human curation the most valuable skill in selling AI music? - What kind of music packs are video creators and podcasters desperate to buy right now? - How should you price your AI music packs for maximum profit? - What are the hidden pitfalls of licensing AI-generated music? - Is it possible to get accepted to a professional marketplace like AudioJungle with AI 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
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    2 分
  • Spotify Growth Hacked: Using AI Music for Algorithmic Domination
    2025/11/23
    The dream of growing on Spotify often meets the harsh reality of slow, expensive music production. For independent artists, staying relevant to the platform's algorithm feels like a losing battle. This episode of the AI Music Podcast unpacks a modern strategy to solve this exact problem, leveraging AI to create a consistent flow of new music. We go beyond theory and dive into a step-by-step playbook. Learn how a high-frequency release schedule can capture the attention of Spotify's algorithm, and discover the importance of precise metadata for landing on discoverability playlists. We also reveal how to integrate your AI-generated tracks with viral short-form video content on platforms like TikTok to create a powerful engine for audience growth. A case study in point: An indie artist was stuck, only able to release a new song every few months, causing their stream count to flatline. By adopting an AI-assisted workflow, they began releasing a new single every Friday. Within two months, Spotify's "Release Radar" was constantly working for them, tripling their monthly listeners and creating a real, engaged audience from a simple, catchy AI-generated hook that went viral. Key Takeaways: 1. How can releasing a new song every week trick the Spotify algorithm into promoting you? 2. What are the three key metadata tags that get your music onto editorial playlists? 3. Is it better to release one perfect song a year or 52 good songs? 4. How do you turn a 15-second AI clip into a track with over 100,000 streams? 5. What is the secret to getting your AI music onto influential user-curated playlists? 6. Can you build an authentic fanbase with music you didn't physically play? 7. What is the number one mistake artists make when uploading AI-generated tracks? 8. How do you find the perfect niche genre on Spotify to target with AI? 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
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    2 分
  • AI Music Gold Rush: Building Monetized YouTube Empires with Niche Sounds
    2025/11/22
    In this episode of the AI Music Podcast, we uncover a powerful strategy for modern creators: using AI-generated music to build and monetize niche YouTube channels. Discover how this approach bypasses the need for traditional musical talent or expensive licensing, opening up a new world of content creation. We explore the entire lifecycle of these channels, from identifying a profitable niche like 'ambient study beats' or 'fantasy RPG soundscapes,' to the scalable production of hours of content. Learn how simple, AI-generated visuals combined with targeted audio can attract a dedicated, long-tail audience that generates revenue for years to come. Imagine wanting to start a side hustle but lacking the skills to compose music or create complex videos. That's the problem a creator of a 'Calm Kitty' channel faced. They wanted to make relaxing music for cats and their owners but had zero musical background. By using an AI music generator, they produced hours of soft, purr-resonant frequencies and paired it with simple animations of a sleeping cat. This channel now gets millions of views, earning ad revenue and driving listeners to their Spotify 'Cat Relaxation' playlist. 本期干货: - How can you identify untapped music niches on YouTube with high search volume and low competition? - What are the best AI tools for generating hours of high-quality music without any prior experience? - What's the secret to creating visuals that are simple yet engaging enough for long-form music videos? - How do you optimize your videos for YouTube's algorithm to ensure long-term, evergreen traffic? - What is the 'playlist strategy' and how can it double your income by funneling YouTube viewers to Spotify and Apple Music? - Beyond ads, what are the other hidden monetization methods for these AI music channels? - How can you scale production to run multiple niche channels at once? 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
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    2 分