There is an AI artist sitting on Spotify with almost 168,700 followers, and until the middle of September, nothing on that page will tell you that no human sang the vocals.
Her name is Enlly Blue. The profile picture reads like a heavily airbrushed photo of Marilyn Monroe. Blue’s biggest song, “Through My Soul,” entered Billboard’s “Emerging Artists” chart at #44 back in October and has racked up well past 29 million streams — a haul worth more than $145,000 from that single track. Billboard reports that Blue is a project operated by a songwriter named Thong Viet.
On Tuesday, Spotify announced it will begin flagging profiles of exactly this kind.
What the label actually says
From mid-September, artist profiles constructed around algorithmically generated identities will carry an “AI Persona” tag. The company was unusually direct about its reasoning.
“Listeners have been clear in telling us that they don’t like seeing an artist profile that seems human, only to find out that the persona is AI-generated,” Spotify wrote in its announcement. The label “signals to listeners that an artist’s identity may be AI-generated and does not represent a real person.”
Pay attention to that phrasing: may be. Spotify is not asserting forensic certainty, and that hedge will become important the moment a flesh-and-blood musician with an unconventional look gets caught in the net.
The part that costs money
What sets this apart from the standard disclosure theater is the penalty attached: profiles carrying the AI Persona label vanish from Spotify’s algorithmic recommendations altogether, unless the listener already follows the account.
For an operation like Enlly Blue, that pipeline is the business. Nobody generates 29 million streams by having listeners type a name into the search bar. Those numbers come from playlists and autoplay. Sever the algorithmic feed and the math behind running an invented pop star turns considerably uglier.
Labels will appear across artist banners and “About” sections, inside search results, and beside individual songs within playlists. In other words, there’s no remaining surface where an AI persona can still pass as human.
Confess now or get caught later
The people running these projects can come forward on their own through Spotify for Artists. Last month, a coalition of organizations representing musicians and record labels floated a voluntary labeling framework built on comparable lines.
Those who stay silent won’t necessarily stay hidden: Spotify says it will conduct its own review of suspect profiles, beginning “with artists who have met defined audience thresholds, so the labels cover the vast majority of artist profiles that users visit.”
What that threshold is, Spotify declined to specify — and that’s the soft spot. An unpublished follower count is precisely the sort of boundary that motivated operators will reverse-engineer and then hover just below, and there is genuine money in hovering there.
The enforcement detail is cleverer than the threshold itself. Tap a label and you’ll learn whether the creator volunteered the information or whether Spotify had to uncover it. Being unmasked leaves a permanent stain on the profile — a reputational penalty aimed squarely at the only asset an AI persona actually sells, which is the persona.
They tried this already, with a smaller ask
Earlier this year, Spotify introduced “AI credits,” giving artists a way to disclose where the technology had shaped a track, lyrics included.
“With AI credits, we have seen that people are eager to take the opportunity to be transparent and share how they used AI as part of their song’s creative process,” the company wrote on Tuesday. “We’re hoping for a similar level of self disclosure for AI Personas.”
That word — hoping — is carrying an enormous load. Owning up to leaning on a model for a bridge is not remotely the same as owning up to the fact that the vocalist on your page never existed. The first is a footnote in the production credits. The second is the entire product.
Why this landed now
With no meaningful deepfake regulation on the books in the U.S., streaming platforms ended up eating the fallout. AI artists poured in because nothing was there to stop them.
Musicians themselves are divided, and not down the middle. A great many will call it a blight on the industry — trained on copyrighted material nobody was paid for, churning out soulless filler. Others are willing to tinker with the tools without surrendering the entire process to a machine.
For the handful of operators cashing in on streams from performers who were never born, it has been a windfall.
Keep an eye on Enlly Blue’s follower count once mid-September passes. That figure, far more than any language in a Spotify blog post, will reveal whether slapping a label on a profile is enough to alter the way people actually listen.