The electronic dance music scene has an AI problem, and 26-year-old producer Max “H4RRIS” Harris is done being polite about it. The Maine-based artist has become one of the more visible figures in a growing callout culture targeting musicians who pass off algorithmically generated tracks as human-made work.
Harris doesn’t mince words about what he’s seeing. “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,” he said. “It’s a technological advancement that’s giving people a way to steal real art and pass it off as their own.” His production setup — Ableton Live, a Push 3, analog synths, Serum, Diva, Kontakt — represents hundreds of small creative decisions per track. That deliberative process, he argues, is exactly what generative tools erase.
He’s pointed to specific tracks like MANSA’s “Midnight on My Mind” and Danny and Ian Asher’s “Take Me (To The Moon)” as likely AI output, citing telltale signs like a sharp hissing throughout the mix — which he attributes to how models start from white noise blocks and make waveform guesses based on training data. Neither MANSA nor the Ashers have publicly commented on using generative tools, and Harris could be wrong. But the suspicion itself is the story.
Harris places much of the blame on Suno, the AI music platform he says is fueling the flood of synthetic tracks. He’s noticed platform-specific artifacts that help him identify suspicious uploads, including vocals that sit oddly in the mix. The deeper issue isn’t just the grift — it’s that listeners are losing their baseline for what human-made EDM actually sounds like. When the reference points get polluted, everyone working in the genre pays the price. Callout culture is a messy, imperfect solution, but in the absence of platform-level labeling or industry-wide standards, it’s what artists have resorted to.
