Editorial
Skrillex Says AI Songs Still Miss Human Connection
Skrillex Says AI Songs Can Go Viral, But His Comments Point To A Bigger Issue Around Human Connection In Dance Music.
The debate around AI music has often focused on fake vocals, copied artist styles, copyright issues, and whether machine made songs should be labeled clearly, but Skrillex has brought the subject back to something more human. In his first formal interview in over a decade, published in 032c Issue #49 Summer 2026, Skrillex spoke with Ecco2K about creativity, rave culture, and the limits of AI in music, including the idea that AI songs can go viral while still missing the feeling of being seen by another human being. That distinction gives the topic more depth because he is not only questioning whether AI can generate music that performs well online. He is asking what happens to dance music when a song can reach listeners quickly, but the person, history, and lived experience behind it become harder to find.
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Why Skrillex’s View On AI Is Not About Rejecting Technology
Before Skrillex became known as a producer and DJ, he was the vocalist of From First To Last, a post hardcore band that already placed him in a scene where live emotion, distortion, and internet era fandom were closely connected. His move into solo production did not erase that background; it carried some of that intensity into songs like Scary Monsters And Nice Sprites and Bangarang, where chopped vocals, aggressive bass design, sharp edits, and software based production became part of the identity of the record. The same artist who helped make those sounds reach a wider audience is now saying that AI songs can go viral, which is why the point cannot be reduced to fear of computers in music.
His own career shows the opposite: technology can still carry feeling when there is a real person making the decisions behind it. In the 032c interview, Skrillex discussed making Mora in GarageBand before moving into Pro Tools and Ableton, along with ideas like Bangarang beginning from rough recordings on Snowball mics or laptop mics. Those details show that electronic music does not lose its human side just because it starts from rough digital material, software, or imperfect recordings. The difference is that an artist is choosing what to keep, cut, distort, rebuild, or leave imperfect, while a generated song can imitate the texture of those choices without carrying the bands, scenes, failed ideas, studio accidents, and years of taste that came before the final record.
Why Viral AI Songs Do Not Prove Listeners Are Connecting
When Skrillex talks about AI songs going viral, the point is easy to connect to cases the music industry has already dealt with. Heart On My Sleeve, the fake Drake and The Weeknd song made with AI vocals, did not become a talking point because listeners had discovered a new artist with a real story. It went viral because people were trying to work out how close the vocals sounded, whether the artists had approved it, and what it meant if a fake collaboration could travel that quickly. That kind of attention can make a song look successful on the surface, but the reaction is tied to the stunt, the confusion, and the technology behind it, not to a real connection between artist and listener.
Dance music has its own version of that problem because records often gain meaning before they are officially released. Rumble by Skrillex, Fred again.., and Flowdan was already circulating through DJ set recordings and crowd clips before its official release, while Baby again.. by Fred again.., Skrillex, and Four Tet gained more attention after being played live, including during their back to back set at Madison Square Garden. That path is different from an AI song going viral because it sounds close to an existing artist or copies a familiar vocal style. In dance music, the memory around a song is often tied to the DJ who tested it, the crowd that reacted to it, the festival or club clip that kept circulating, and the months of people asking for the release. AI can copy the sound of a viral record, but it cannot recreate the human trail that makes people care about where the song came from.
What This Means For AI Music Going Forward
The next stage of AI music will probably come down to what artists, labels, and platforms are willing to make clear before a song reaches listeners. John Summit’s call for human made music labels points to one possible response, especially as fake vocals and copied artist styles become harder to spot at first listen. David Guetta’s experiment with an AI generated vocal in the style of Eminem showed how quickly a technical demo can raise bigger questions about likeness and consent, while deadmau5 has already warned about deepfakes and false endorsement. Once a voice, image, or artist identity can be copied well enough to confuse people, the problem is no longer only about whether the song sounds convincing; it is about whether listeners know who actually made what they are hearing.
Skrillex’s point is closer to what listeners may start caring about as AI music becomes more common. AI may keep producing songs that go viral, especially when the hook feels familiar, the voice sounds close to someone famous, or the curiosity around the technology is strong enough to push the clip online. But dance music has always depended on more than a first reaction. People remember the DJ who played a song before release, the set where they first heard it, the crowd clip that made them search for the ID, and the artist history that made the record feel connected to something real. AI can copy parts of that format, but without a person behind the choices, the trust becomes weaker, and that may be the difference between a song people click on once and a record they keep returning to.
As AI music becomes easier to make and harder to identify, the future of dance music may depend less on whether listeners reject the technology and more on whether they still trust the people attached to the songs. Skrillex’s comments point to a problem that goes beyond one viral record or one copied vocal, because the deeper risk is a culture where the source of a song becomes unclear and the relationship between artist and audience starts to feel less certain. Dance music has always moved through clubs, festivals, IDs, edits, and shared recordings, but those moments only last when people believe there is a real person behind the choices, the risk, and the history of the record. AI may continue to create songs that travel quickly online, but the harder question for artists, labels, platforms, and listeners is whether speed can ever replace trust, and whether a song can still mean something long after the first reaction if no one can feel the human life behind it.
