As AI infiltrates the electronic dance music scene, a callout culture is brewing. A growing number of musicians are stepping into the role of detectives, using their trained ears and deep knowledge of music production to expose artists who try to pass off AI-generated tracks as human-made art. This movement is especially strong in the EDM world, where technology and creativity have always been closely intertwined.

The internet is now filled with AI-generated music that mimics the melodies, vocals, and production styles of real artists. While some creators openly admit to using generative tools, others deny it until public pressure forces them to come clean. For professional musicians, this creates a complicated and urgent problem: how do you prove a song is fake, and what happens to your career if you accuse a peer of being an AI grifter?

A Decoy Art Form

Twenty-six-year-old EDM producer Max "H4RRIS" Harris, originally from Maine, is one of the most vocal figures in this new wave of callouts. He describes AI-generated music as "a kind of decoy art form." In his view, the people making it don't have anything meaningful to say. He believes true art is "created by people that are trying to express feelings and messages," and that AI boosters are mainly interested in making a quick profit.

"I don't consider AI-generated material to be art, and I don't think this technology is really advancing art in any meaningful way," Harris said. "It's a technological advancement that's giving people a way to steal real art and pass it off as their own."

Harris's own production process is deeply hands-on. He begins with a core concept and then "throw[s] more ideas down until I find something that sticks." His setup includes Ableton Live, a Novation Launchkey 49 MIDI controller, Ableton Push 3, Launchpad X, analog synthesizers, Serum, Diva, and the software sampler Kontakt. Even though this array of tools looks complex, Harris says the entire process is "really just me making creative decisions" that lead to a sound that feels right.

"Each of those decisions — and there's hundreds of them to go into each song — brings me closer to evoking a specific kind of idea or emotion," he explained. "And then once I have a song mapped out, I have to start making even more choices about how to mix it in a way that makes it sound good and presentable."

For Harris, being a real artist means using an informed understanding of a medium to make experimental choices. One of his biggest issues with generative AI is that it removes the need to think about how songs, books, films, or podcasts come together. He is also troubled by the way AI impostors are muddying listeners' understanding of what human-made EDM actually sounds like.

Listening for the Telltale Signs

Harris has developed a set of listening techniques to spot AI tracks. "Aside from the similar vocals, you can usually hear a sharp hissing throughout the track," he said. "I think that comes from the way that these models often work by starting with a big white noise block and then making guesses about waveforms by referencing data taken from real songs."

He points to MANSA's "Midnight on My Mind" and Danny and Ian Asher's "Take Me (To The Moon)" as examples of what he believes are AI-produced songs. Neither act has publicly commented on using generative tools, and there is no definitive evidence that MANSA used AI. But Harris's insistence reflects a larger culture of mistrust that has developed as AI content spreads online.

Harris holds Suno, an AI music production company, responsible for the recent surge of AI-generated music being uploaded to the internet. He also credits Suno's specific quirks for helping him learn how to spot suspicious tracks. "Something I've noticed with a lot of Suno-generated tracks is that a lot of the time, you'll hear the vocals and other melodic elements will start stuttering at the same exact time," he said. "These models still have a hard time fully separating different parts of the songs they're trained on, and they treat these elements like one big instrument. As a music producer, all of these things come across like choices that a human just wouldn't make with their compositions because it just doesn't make sense."

Sometimes the visual presentation gives it away. AI-powered evangelical Christian persona Lionsaddle has videos where the character's fingers vanish in and out of existence. Christian house musician Midnite Manna posts videos with an overly glossy look that resembles what is often called "AI slop."

A Producer's Fight

Harris was inspired to start making his callout videos after seeing posts by 39-year-old Italian turntablist-turned-producer Nihil Young. Young has spent months watching EDM newcomers rise after posting music he believes was generated with tools like Suno. Although he usually avoids online discourse, Young felt he had to speak out about the flood of AI tracks.

"These songs are the sound of Suno, which to me means that the people behind the songs are just straight up uploading original, copyrighted tracks of artists like Madonna and asking the platform to remix them," Young told me, referring to Josh Fawaz's "Like a Prayer" cover, which now includes AI credits after online backlash. "If they can do it with major artists like her, they can do it with you, me, and everyone else, which just isn't cool. They can take your entire catalog, feed it to Suno, and generate 'new' songs from that stolen work."

Young's activism came with consequences. He says he received multiple hacking attempts, a wave of online harassment from AI defenders, and even suspected that people bought fake followers to boost his Spotify numbers as a way to cast doubt on his authenticity. Spooked and busy raising a young daughter, Young has taken a break from callouts, but he still believes it's vital to raise awareness about how AI music harms human artists.

"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," said Young, who has done audio mixing and mastering work for Sony Music, Warner, and Universal. "I can only imagine what it's been like for singers, graphics artists, and people working in other creative fields. Whether you realize it or not, this stuff is impacting everyone."

The Rise of AI in the Mainstream

Despite the backlash, AI-generated music is increasingly entering the mainstream. In 2024, producer Metro Boomin used an AI-generated track called "BBL Drizzy" as the basis for a beat aimed at Drake. The beat sampled a comedic track created with AI music startup Udio, with vocals, melodies, and instrumentation generated by the platform. Metro Boomin posted the beat to SoundCloud and invited rappers to use it. Drake himself later rapped over the beat on Sexyy Red's "U My Everything," which peaked at number 44 on the Billboard Hot 100.

Wholly AI-generated songs and even AI personas are finding success too. Last summer, Vinih Pray's Suno-created song "A Million Colors" peaked at 44 on TikTok's Viral 50 chart. AI artists Breaking Rust and Cain Walker made it onto Billboard's Country Digital Song Sales chart, a lesser-known chart focused on individual downloads. Hallwood Media, a label founded by former Geffen Records president Neil Jacobson, signed AI avatar Xania Monet to a $3 million recording deal.

The money flowing into AI music is substantial. Kapwing estimates that the top 10 most followed and streamed AI music creators on Spotify and YouTube collectively earned over $6 million in 2025. Streaming platforms like Deezer report that AI songs now account for more than 50 percent of new uploads. This flood makes AI music harder to avoid, especially for listeners who cannot tell the difference between generative and human-made tracks. Some streaming services are beginning to label AI songs, but many users report that they still cannot hear a clear difference.

No Easy Answers

Aside from the people uploading these songs, no one can be completely certain whether a track was made with AI or by a human artist. AI music detection tools exist, but it is unclear how or even if listeners will adopt them. The numbers, which can easily be manipulated with paid streams, suggest that some listeners don't mind the sound of AI music.

Young acknowledges that most people's ears are not trained to spot audio slop, but he believes music lovers owe it to themselves to seek out real, human artists. "In my opinion, it becomes obvious that you're listening to AI-generated music when you put on a good pair of headphones," he told me. "But I also think that a lot of people these days are consuming music like fast food and listening to it through the speakers on their phone. Or they just have it on as background noise, and they don't necessarily care what it sounds like."

As the battle over AI continues, musicians like Harris and Young are determined to keep raising the alarm. Their callouts may not stop the flood of AI-generated tracks, but they are forcing important conversations about authenticity, creativity, and the value of human expression in an increasingly automated world.

Source:The Verge News