I tried SUNO AI with my song. Let's talk

You can watch my video about this here https://www.youtube.com/watch?v=gYhV7TEIFBk

Recently I decided to experiment with Suno AI, an artificial intelligence tool that can generate complete songs, including vocals and instrumentation. The platform creates music from prompts or audio inputs using generative AI technology.

As a musician, songwriter, and teacher, I was curious to see what would happen if I used AI not to replace music, but simply to assist it.

So I ran a small experiment.

I took one of my original songs, Heavenly Music, recorded with my own voice, and asked the AI to do something very simple: add lush harmonies.

The Experiment: Adding AI Harmonies to My Song

I took a simple recording of my original song and asked Suno AI to generate additional harmonies.

Within seconds, the AI produced layered vocal textures surrounding my melody. The result sounded surprisingly polished and musically coherent. The harmonies were taken by AI form gospel music , from my chords, from jazz, blues, and RnB. SUNO AI definitely did not create those harmonies but recycled all the human music achievements

From a technical standpoint, the speed and complexity of the result were impressive. AI can analyze musical patterns and generate arrangements almost instantly.

But the experiment also raised deeper questions about the future of music.

Why AI Music Should Compensate Human Musicians

While experimenting with AI music tools like Suno AI, I cannot ignore an important ethical question.

Artificial intelligence did not invent music. Every musical pattern, harmony, and style that AI can generate comes from human creativity developed over hundreds of years. From classical composers to modern songwriters, musicians have spent lifetimes creating the music that shaped our culture.

AI systems are trained on enormous datasets of human-created music. In many cases, those works were created through years of dedication, study, and emotional labor.

Because of this, I strongly believe that if companies profit from AI-generated music, the human musicians whose work trained those systems should also be compensated.

Right now, many AI music companies are receiving enormous investments and creating products that may generate billions of dollars. Yet the artists whose work built the foundation for these systems often receive nothing.

This raises serious ethical questions.

Music is not just data. It represents the cultural achievements of humanity. If AI companies use that cultural heritage to build profitable technologies, they should share those profits with the musicians, composers, and creators whose work made it possible.

Otherwise, we risk creating a system where the creative work of generations of artists becomes free raw material for technology companies.

Innovation should not come at the cost of the people who created the art that made it possible.

Despite the impressive technology, something important remains missing.

Music is not just harmony, rhythm, and structure. Music is deeply connected to human experience.

A songwriter writes from memories, emotions, heartbreak, curiosity, and joy. Those experiences shape how a melody is sung or how a phrase is played.

AI can imitate musical patterns, but it does not experience life.

Because of that, AI-generated music often feels technically correct but emotionally distant, and sterile.

My experiment with Suno AI was fascinating. The technology is powerful and evolving quickly.

But after listening carefully, I still believe that the most meaningful music will always come from human experience.

AI may help us create new sounds, but the heart of music will always belong to the people who feel it.