Key Highlights:
- Sienna Rose, an AI artist with over 4 million monthly Spotify listeners, now operates a TikTok account using face-swapped videos stolen from real content creators.
- The deception goes beyond AI-generated music to include deepfake video content designed to make audiences believe she is a real person.
- Transparent AI artists like Xania Monet and China Styles prove authenticity and AI music creation are not mutually exclusive.
The Deception Deepens
Sienna Rose has crossed a new line. The AI-generated artist, who amassed over 4 million monthly Spotify listeners, now runs a TikTok account featuring videos that appear to show a real person.
The videos are not original. They are stolen from real content creators, with faces and bodies swapped using deepfake technology to match her AI avatar. This represents a significant escalation from simply releasing AI-generated music to actively deceiving audiences with fabricated visual content.
The TikTok account snickerdoodle.xo posted this video showing proof that Sienna Rose is creating deepfake videos.
@snickerdoodle.xo I wonder if they know someone is using their videos🤔 @jolinajurga “Sienna rose” is an AI posing as a human, “it” has music on Spotify and has social media accounts, there are more and more AI accounts popping up like this and it’s so odd. What happened to the AI warnings? Why don’t we just support real people? Imagine getting online and seeing your house and outfit in someone else’s video😳 The content of the AI is very bizarre as well, they push them to talk about real human experiences, Xania Monet is posting about her mom dying…what mom?? Lil Miquela posted that she has leukemia?! They are playing in our faces. So weird. #siennarose #ai #misleading #spotify #fake
♬ original sound – Liv🐬🐡🪸🪼🏝️☀️🌊
Deepfakes leveled up in 2025, with online deepfake volume growing from 500,000 to 8 million. Sienna Rose’s TikTok strategy exploits these advances to manufacture a false human presence.
Sienna Rose was first exposed as AI-generated in January 2026 when Deezer’s detection systems flagged her entire catalog. The artist had no social media presence, released ten albums in four months, and maintained zero touring history despite millions of listeners.
Credit: Spotify profile Sienna Rose
“Trust your eyes. Sienna Rose is AI. Her music was suspected as AI for a long time. Once she started posting AI videos, it was confirmed: she’s a fake person,” noted one viral TikTok exposé.
The case draws parallels to the $10 million AI music fraud case involving Michael Smith, who used AI-generated music and bot armies to exploit streaming platforms for financial gain.
The Authenticity Problem
The takeaway: Stealing creator content to fabricate a human identity represents the worst approach to AI artist promotion.
The Sienna Rose operation deceives audiences on multiple levels:
- Posing as a real human while being entirely AI-generated
- Stealing video content from real creators without consent or credit
- Using deepfake technology to swap faces and bodies onto stolen footage
- Keeping listeners in the dark about the artificial nature of the project
This approach violates basic principles of protecting artist likeness in the AI era. The creators whose videos were stolen had no say in how their content was repurposed.
Compare this to AI artists who chose transparency. Xania Monet’s creator revealed herself on CBS Mornings.
Credit: YT Screenshot CBS Mornings Interview
Telisha Jones uses Suno AI to turn her poetry into songs, writing lyrics based on her own hardships and experiences. Her project achieved Billboard chart success, reaching No. 30 on the Adult R&B Airplay chart.
China Styles takes a different approach. Margaret Bynum transforms painful childhood diary entries into gospel songs using AI tools. Her music draws from broken homes and bullying experiences. With over 22 million streams, she secured a record deal and moved from a trailer to a house.
These artists prove you do not need deception to succeed with AI music. Personal stories and emotional authenticity resonate with audiences. Generic, machine-generated content paired with stolen visuals does not.
Platform Vulnerabilities Exposed
Sienna Rose’s success exposes ongoing weaknesses in streaming platform protections. Spotify strengthened AI protections in September 2025, addressing impersonation and fraudulent content. The Velvet Sundown AI artist case documented similar vulnerabilities that enable AI artists to exploit algorithmic systems.
Analysis of top AI artists by Spotify earnings shows the economic incentives driving these schemes. Millions of streams translate to real revenue, even when the artist behind them does not exist.
What This Means for You
The Sienna Rose TikTok revelation should change how you evaluate artists online. Face-swapped videos and AI-generated music now work together to create convincing fake personas.
Look for these warning signs: no verifiable live performances, rapid content output, shifting visual identities, and missing production credits. When something feels off, trust that instinct.
If you create AI music, learn from artists who chose honesty over deception. Write lyrics from your own experiences. Be upfront about your tools. Build a real connection with your audience instead of manufacturing a fake one.
The technology is not the problem. The choice to deceive is.
