Machine Learning Music Videos

The New Charli XCX Music Video Utilizes Deepfake Technology

Deepfakes have generally been associated with creepy and nefarious subcultures, but a new Charli XCX music video utilizes the technology as a convincing special effect. Created for her track "1999" the music video features both singers, Charli XCX and Troye Sivan, paying homage to various touchstones of the 1990s. These references include Steve Jobs, TLC’s “Waterfalls” music video, Titanic, the Nokia 3310, The Sims, and The Titanic.

Beyond the novelty of the Charli XCX music video, the use of deepfake technology shows its true potential as a special effects tool. While tools like Photoshop and after effects can achieve similar results, the AI and machine learning capabilities of deepfake technology makes it easier for amateurs to use. This video is the first time the technology has been used in this medium.

Image Credit: Ryan Staake

Deepfake Technology in Music Videos
Deepfake technology is being utilized in music videos, creating convincing special effects and opening up new possibilities for creative expression.
Amateurs Using Deepfake Technology
The AI and machine learning capabilities of deepfake technology are making it easier for amateurs to use and explore new creative avenues.
Expanding Applications of Deepfake Technology
The use of deepfake technology in the Charli XCX music video demonstrates its potential as a versatile tool for special effects in various mediums.

Who This Affects Most

Entertainment Industry
Deepfake technology in music videos presents disruptive innovation opportunities for musicians and filmmakers to create captivating visual content.
Visual Effects Industry
Deepfake technology opens up new possibilities and efficiencies in the creation of special effects for movies, TV shows, and other visual media.
AI Technology Industry
The advancements in deepfake technology highlight the potential for AI and machine learning to revolutionize the creative industry by enabling amateurs and professionals to create high-quality visual content.
SCORE
3.4 out of 10
GENDER
50% Men50% Women
MARKETTop markets: North America, South America, Europe, Asia
GENERATION
  • Gen Alpha
  • Gen X
  • Gen Z (primary audience)
  • Millennial (primary audience)
POPULARITY
Popularity 36%
Activity 58%
Freshness 8%

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