I make money creating AI music
Education
Introduction
Over the past 30 days, I ventured into the realm of AI music to explore its money-making potential, and I discovered some astonishing insights that could significantly impact the music industry. While artists like Bad Bunny and Billie Eilish have spoken out against the risks AI music poses to their careers, I remain convinced that AI music is not just a fleeting trend—it’s here to stay and will only improve.
This article will guide you through how I identified a profitable market, created AI-driven music, and what you can expect in terms of earnings. This approach is versatile, functioning well on platforms such as YouTube, Spotify, and even the iPhone App Store. If you’re interested in learning from my experiments over the last 30 days, keep reading.
Finding a Market
The first and most critical step I took was identifying a viable market. It’s essential not to randomly create music and post it online. With around 100,000 tracks uploaded to Spotify every day and 3.7 million YouTube videos published daily, you must stand out to succeed.
To accomplish this, I employed market research tools to discover what people are actively searching for. While this might seem complicated, it’s straightforward. I utilized a tool called Ahrefs, which reveals popular search queries on Google. This data can help us understand trends across various platforms since Google, YouTube, Spotify, and others operate similarly as search engines.
Using Ahrefs, I discovered significant search trends, particularly around genres such as Christmas music, classical music, and calming music. I chose to focus on gaming music and baby sleep music for my experiment. By analyzing existing YouTube videos, I quickly recognized that gaming music typically falls within the EDM or dubstep categories. The key takeaway here is to ensure that you create music that aligns closely with what listeners want.
Creating AI Music
Next, let’s talk about how to create AI music. I want to emphasize that I’m not a legal expert, so consult a lawyer for any legal inquiries regarding AI-generated music. For my project, I relied on two leading AI music platforms: Audio and Sunno. While both offer free options, I preferred Sunno for its more professional sound and unique tracks.
After creating an account on Sunno, I activated the instrumental mode and entered prompts such as “EDM dubstep gaming music.” Following this, I generated a few tracks. Here’s a sample of what the first track sounded like:
(Include audio sample here)
Once I had several tracks, I compiled them into an album with roughly 20 selections. To make the tracks longer (as they often tend to be short), I used Sunno's extend feature.
Next, I moved on to designing album artwork. I looked for inspiration on Spotify and found that many current albums resonate with a war or anime aesthetic. To create compelling artwork, I utilized ChatGPT, asking it to generate a photo of a video game war cover. The results were impressive and formed the basis for my album cover. I uploaded the imagery to Canva, created a square canvas, added an artist name, and titled the album "Main Boss Showdown."
After finalizing the artwork, I shifted gears to distribution. I opted for Emu Bands, although multiple distributors can work—like DistroKid and others. The upload process is relatively simple and intuitive.
Results and Conclusion
After submitting my albums—one focused on gaming music and the other on baby sleep music—without any promotional efforts, my strategy effectively attracted organic interest. Over the past month, these albums garnered nearly 35,000 streams on Spotify, peaking at about 3,400 streams per day.
Using a Spotify royalty calculator, I estimated my earnings from these streams to be just over $ 83. Adopting this experimental approach repeatedly can yield impressive results, although it may require several attempts before striking gold again. I learned that it might take around five to ten albums to find the next hit.
Lastly, I diversified my approach to distribution across multiple platforms to mitigate risks associated with potential scams in the music industry.
I hope this article serves as a helpful roadmap for anyone interested in tapping into the lucrative potential of AI music creation. Good luck!
Keywords
AI music, create music, market research, royalties, distribution, Spotify, gaming music, baby sleep music, Emu Bands, Sunno.
FAQ
What is AI music?
AI music refers to music created using artificial intelligence technology, often allowing users to generate tracks based on specific prompts or styles.
How can I make money from AI music?
By identifying a profitable market niche and creating AI-generated music that aligns with listener preferences, you can monetize it through platforms like Spotify and YouTube.
What tools are recommended for creating AI music?
The two popular platforms for generating AI music are Audio and Sunno, with Sunno being favored for its professional-sounding outputs.
How do I effectively promote my AI music?
Using market research to ensure you’re creating music that aligns with existing trends can often negate the need for heavy promotion, as genuine demand will attract listeners.
What are the risks associated with distributing AI music?
There are potential legal concerns and the risk of being scammed by distributors, thus, diversifying between several distributors is advisable.
