After a Few Weeks with Suno AI
I came to Suno as someone who has been writing and producing music since the mid 90s. I have worked through the entire evolution of digital audio, from the early days of trackers and MIDI sequencing to the current era of limitless tools and instant results. Suno’s V5 model is the first version I truly spent time exploring, and while I am impressed, the experience brought up a complex mix of admiration and concern.
The first thing that stands out is the vocals. They are functional, sometimes even emotionally convincing, but they are far from clean. Artefacts and digital noise appear in ways that can be hard to correct, even after remastering. This is not a new problem. Anyone who has ever used vocal isolation tools in Logic or Izotope knows that while these technologies can work miracles, they never fully reproduce the original performance. They approximate. They suggest. They gesture toward what the vocal might have been, but they do not replace a human voice recorded in a room.
This is where years of production experience come in. Cleaning up stems, shaping harmonics, restoring clarity, and balancing dynamics all require time, technique, good software, and sometimes just stubborn patience. Suno can produce something usable and inspiring, but it is rarely a finished product. It still depends on the human behind it.
I discovered Suno after noticing new artists appearing on YouTube with multiple releases per week, each with polished visuals. It raised a simple question: how? The answer was clear once I started using the software myself.
I have released music on YouTube and have past releases distributed that made their way onto Spotify. I never saw the royalties and never had the resources to fight it. The industry has always been uneven. Yet now, in this new wave, the imbalance takes a new form. Anyone can appear as an artist overnight.
I remember when music required a different kind of work. Early production meant playing everything manually or drawing MIDI notes one by one. When I used my old mono synths, everything had to be recorded live onto a four-track recorder. There was no undo button, no automated timing correction, no spectrum repair. The process was long, but the learning was deep. Every mistake taught something.
I felt a similar shift when DJ culture went digital. Friends I once admired for their vinyl beatmatching now play entire sets from a USB stick. The software syncs the tempo and key, the playlist is predetermined, and the performance becomes more gesture than craft. The crowd still responds, but something essential feels absent. The hours of listening, training the ear, feeling the room, adjusting the mix by instinct, all replaced by convenience.
On Suno communities and similar spaces, I see many people who love music but are not musicians. They are looking for shortcuts to become artists, to get monetised, to be seen and paid. I do not blame them. The platforms and algorithms reward speed, frequency, and immediate attention. Suno fits perfectly into that environment: ten credits, two tracks, pick the best one, upload.
And suddenly: “I’m an artist. How do I get paid?”
It creates a strange sadness. Not because people are making music more easily, but because something foundational is being bypassed. The time spent developing a musical ear, the patience to improve, the personal relationship between artist and sound. These used to be invisible but essential parts of the art itself.
Yet I do not reject Suno. I see its value. For many musicians, it is not a replacement but an instrument. For those who have a strong voice as composers, but lack access to vocalists, studio time, or session players, AI can expand possibilities. I can imagine using it to generate a texture, a starting point, a harmonic layer, or yes, even a vocal to be later sculpted. But it still requires skill to refine.
The problem is not the tool. The problem is the wave of content that has followed. Platforms are now overflowing with AI music uploaded in bulk for clicks, hope, or algorithmic luck. Some of it is beautiful. Much of it is noise. And like any market saturated by imitation, the result is predictable: restrictions, filters, verification systems, barriers for everyone, including those who create with intention.
Technology moves forward. It always has. But not every step forward is progress. Suno is a remarkable achievement, and it will only get better. Yet the responsibility still lies with us, the artists, to decide how we use it. Whether it becomes another conveyor belt of disposable media or a meaningful extension of human creativity depends entirely on who is holding the controls and why.
Author: Jay Wood