EDM Producers Are Fighting Back Against AI-Generated Music Flooding Their Scene
Two producers are publicly calling out tracks they believe were made by AI tools, and paying a personal price for it. Here is what is actually at stake for working musicians.
Key points
- Max "H4RRIS" Harris, a 26-year-old EDM producer from Maine, is posting videos calling out music he believes was generated by AI tools and passed off as human-made.
- Nihil Young, a 39-year-old Italian producer with credits at Sony Music and Universal, says his client list shrank almost as soon as AI music tools became widely available.
- AI music platform Suno, which lets users generate full songs from text prompts, sits at the centre of both producers' concerns.
- Young says he received hacking attempts and a harassment campaign after speaking out on Threads.
- Neither MANSA, Danny, nor Ian Asher has publicly confirmed or denied using generative tools in the songs Harris names.
A song is background noise for most listeners. For working musicians, it is rent.
That tension sits at the heart of a fight building inside electronic dance music, or EDM, the genre of computer-produced club and festival tracks. Two producers spoke with The Verge AI about what they see as a wave of AI-generated songs being uploaded to streaming platforms and social media, often without any disclosure that a machine made them.
What are these producers actually claiming?
Max "H4RRIS" Harris, 26, says he can hear the tells. He describes a "sharp hissing" running beneath tracks he suspects were made with Suno. His theory is that the hissing comes from AI systems starting with white noise, a wall of random sound, and guessing their way toward a melody by referencing patterns learned from real recordings.
He also points to stuttering. "The vocals and other melodic elements will start stuttering at the same exact time," Harris told the outlet. "These models still have a hard time fully separating different parts of the songs they're trained on."
Harris names two tracks as suspected examples: MANSA's "Midnight on My Mind" and "Take Me (To The Moon)" by Danny and Ian Asher. No definitive proof exists that either track was AI-generated, and the artists have not publicly commented. Harris could be wrong. But the suspicion itself reflects a genuine problem: listeners and fellow artists no longer know what to trust.
Suno's pattern of denial and disclosure is familiar territory for anyone following this beat. Our report on 12 August 2026 documented how D'Addario spent nearly two weeks insisting its guitar string demo track was human-made before admitting it had used Suno.
What is the real-world cost?
Nihil Young, 39, has credits at Sony Music and Universal. The financial damage, he says, is already real.
"Music production is where most of my income comes from, and almost as soon as AI began rolling out, I started losing many of my clients," Young told The Verge AI.
His concern goes beyond his own income. Platforms like Suno accept uploaded audio as a reference, and Young believes some users are feeding in copyrighted recordings to produce "new" songs that draw on original work without permission. He points to Josh Fawaz's "Like a Prayer" cover, which now carries AI credits after public backlash, as evidence the practice is real.
Speaking out cost Young. He says he faced hacking attempts, a wave of online harassment, and what he believes were artificially inflated Spotify follower numbers designed to make his profile look fake. He's since stepped back from public callouts, though he hasn't stopped watching.
Should working musicians be worried?
Yes, at least about income. The creative argument, whether AI output counts as art, will run for years. The economic argument is already showing up in bank statements, and that's the part that deserves the most scrutiny right now. Young's account is a company claim, not a peer-reviewed finding, but it matches what we've heard from other artists in this space.
For listeners, the practical point is this: if a track sounds almost right but slightly off, with stuttering loops or a faint background hiss, it may be worth checking whether the artist has disclosed any AI involvement. Platforms don't yet require that universally. Until they do, the judgment call is yours.
Common questions
How can I tell if a song was made by AI?
There's no foolproof test yet. Harris points to two clues: a persistent hissing sound underneath the track, and moments where the vocals and instruments stutter in sync. Neither is definitive proof on its own.
Is AI-generated music illegal?
Not automatically. But uploading copyrighted songs as training material and then distributing the output commercially without the original artist's permission raises serious copyright questions that courts in several countries are still working through.
