How I Made Money with AI Music in 30 Days 🎵
My Step-by-Step Journey into Streaming Royalties and Passive Income
Have you ever wondered if you could make money with music using artificial intelligence? I gave it a full 30-day test and discovered something exciting that might just change the way the music industry works—and how creators like you can tap into it. Here’s exactly how I did it—and how you can too.
First, I recognized one critical truth: don’t upload random songs and expect results. Every day, thousands of tracks and videos go live across Spotify, YouTube, app stores and Google search. To stand out, you must pick a niche where people are already searching and listening. Using a keyword tool, I saw what users type into search engines, YouTube and streaming platforms. I discovered two high-demand markets: intense gaming music (think EDM/dubstep for gamers) and calm baby-sleep or relaxation music. These genres showed clear search and listening intent—so I targeted them.
Next, I created my tracks using AI music generators: tools like Suno and Udio. I switched to “instrumental mode” and typed prompts like “EDM dubstep gaming music” or “baby sleep ambient relaxing track.” Then I extended each track so they ran longer than two minutes, bundled about 20 tracks into an album, and added cover artwork (1500×1500 px) made with a tool like Canva. Using a distributor (for example EmuBands), I uploaded the albums. I chose not to run paid promotion—this experiment was purely about organic streaming and whether it could reach an audience on its own.
Here’s what happened in 30 days: between the two albums (gaming music + baby-sleep music) I achieved just under 35,000 streams on Spotify, starting with maybe 1 stream a day and gradually climbing to around 3,400 streams per day at peak. In that 30-day window I earned about US $83 in streaming royalties. My takeaway: this is not a “get-rich-quick” scheme but a real proof-of-concept for passive income via streaming royalties, especially if you treat it like playing the odds, test niches, iterate, and scale.
Important legal disclosure: I am not a lawyer. Using AI-generated music comes with copyright and rights-clearance risks. Works generated entirely by AI may not qualify for copyright in some jurisdictions. wipo.int+1 Training AI models on copyrighted songs or creating tracks that mimic existing artists can raise serious legal issues. Medium+1 If you embark on this path, respect rights, include original human creativity, and check the legal framework in your region.
If you’re curious and want me to walk you through exactly which tools I used (prompts, distribution setup, album-release tactics) and which pitfalls to watch out for, I’d be happy to share those details.
📌 Keywords you might want to keep in mind: AI music, streaming royalties, passive income, gaming music, baby sleep music, music production, digital creator, music marketing, AI revolution, upload music streaming platforms.
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