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.

AI2Day Newsdesk4 min read
A smartphone screen showing the Reelful app in action, with a user selecting photos and videos from a camera roll
Share

Key points

  • Max "H4RRIS" Harris, a 26-year-old EDM producer, 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, Warner 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, is at the centre of both producers' concerns.
  • Young says he received hacking attempts and a harassment campaign after speaking out on the social platform Threads.
  • Neither MANSA, Danny, nor Ian Asher has publicly confirmed or denied using generative tools in the songs Harris names.

For most people, a song is just something that plays in the background. For working musicians, it is their mortgage.

That tension sits at the heart of a fight quietly 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, sometimes without any disclosure that a machine made them.

What are these producers actually claiming?

Max "H4RRIS" Harris, 26, from Maine, says he can hear the tells. He describes a "sharp hissing" running beneath many tracks he suspects were made with Suno, an AI music platform that generates complete songs from a short text description. His theory, based on how he understands these models to work, 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 a song called "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 growing problem: listeners and fellow artists no longer know what to trust.

What is the real-world cost?

Nihil Young, 39, has credits at Sony Music, Warner and Universal. He says the financial damage 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 said.

His concern goes beyond his own wallet. Platforms like Suno accept uploaded audio as a reference, and Young believes some users are feeding in copyrighted recordings from artists like Madonna to produce "new" songs that draw on that original work without permission or payment. 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 personally. He says he faced hacking attempts, a harassment campaign, and what he believes were artificially inflated Spotify follower numbers designed to make his own profile look fake. He has since stepped back from public callouts, though he has not stopped watching.

Should working musicians be worried?

Yes, at least about the income side. The creative argument, whether AI output counts as art, will run for years. The economic argument is already arriving in bank statements.

For listeners, the practical takeaway is simpler: 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 do not yet require that disclosure universally. Until they do, the call is yours.

Common questions

How can I tell if a song was made by AI?

There is no foolproof test yet. Harris points to two clues he listens for: 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 or inspiration, 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.

© 2026 AI2Day