What began as a seemingly innocent AI music experiment set out to release 100 tracks in just 100 days.
At first, it appeared harmless, even ambitious.
However, once real musicians started paying attention, the project quickly sparked controversy.
As a result, the discussion exploded into a heated backlash that revealed growing frustration with platforms such as Suno.
The creator shared his process on the r/Suno subreddit, explaining that he treated the AI tool as if it were an instrument rather than a shortcut.
He described a workflow that involved regenerating sections, tweaking tempos, editing lyrics, and cycling through thousands of AI-generated tracks.
Eventually, he selected only 100 songs that he felt were good enough to upload to YouTube.
Moreover, he explained that he chose to focus on Afro-house as his main direction.
He also pointed to several major electronic acts as sources of inspiration.
However, many listeners quickly noticed that those influences have little to no real connection to the Afro-house genre itself.
He also admitted that most tracks lost momentum after two or three days, even when he refined his workflow.
In practice, the results remained unpredictable and short-lived.
Read more: Bandcamp Bans AI-Generated Music to Protect Artists
The Heated Debate about AI Music
Initially, users within the r/Suno community responded positively.
However, once the post reached a subreddit filled with traditional electronic music producers, the tone shifted sharply.
Many musicians pushed back strongly against the process.
They argued that churning out thousands of tracks just to salvage a small number of “acceptable” ones drains music of its meaning.
To them, this approach also erases the time, effort, and labor that sit at the heart of real artistic creation.
Several commenters openly mocked the idea of mass-generating songs in the first place.
They saw it as quantity for the sake of noise, not creativity.
Others also warned that this practice speeds up the “dead internet” effect creeping into music.
The reaction underscored a deeper divide within the industry.
On one side, AI supporters argue that tools like Suno lower barriers and open music creation to more people.
On the other hand, working musicians argue that these platforms dilute true artistic effort.
They explain that automated content floods streaming services and competes for algorithmic attention.
This tension grows stronger as Suno reportedly generates more AI tracks every two weeks than Spotify’s entire catalog.
Meanwhile, past statements from the company’s leadership have added fuel to the fire.
They suggested that many people do not actually enjoy the music-making process, which only intensified the criticism.
Ultimately, the backlash reflects an unresolved conflict.
As AI technology continues to advance, many artists feel compelled to take a stand.
They argue that defending human creativity means speaking out now, before automated music becomes the new standard.
