Your K-Pop favorites may be illicit AI voice clones


Is your latest song on repeat really sung by Blackpink or Justin Bieber? There’s a shockingly high chance that it’s a deepfake voice clone created to trick you, according to a new study from musicMagpie aptly titled Bop or Bot? The study found an astonishing 1.63 million AI covers just on YouTube. Listeners may not always be able to tell the difference, and it could actually have a financial impact on the artists whose voices are being used for the songs.
The biggest victims of these deepfake tracks are K-pop groups, accounting for 35% of the top twenty most-streamed AI-generated artists. Blackpink is at the top of the list, with more than 17.3 million views of AI-generated content mimicking the group, with an AI cover of ‘Batter Up’ by BabyMonster nabbing 2.5 million views alone. Justin Bieber ranks second on the list at over 13 million views, including his biggest fake hit at 10.1 million views, ‘Nothing’s Gonna Change My Love For You’ by George Benson. Rounding out the top three stolen voices is Kanye West at 3.4 million views for AI-generated tracks, including a cover of ‘Somebody That I Used to Know’ with 2.6 million streams.
There’s’ a more literal theft involved, too. The financial implications of AI-generated music are substantial, according to musicMagpie. The company estimated that the surge in AI-generated content could translate to more than $13.5 million in lost revenue for original creators. That’s about $500,000 lost for Blackpink, while Bieber and West lost out on $202,964 and $130,000, respectively.
Voice Tricks
Even being deceased can’t save artists from AI theft, as the AI ghost of Frank Sinatra’s 8.9 million views and Freddie Mercury’s 3.55 million views can attest. As for fictional unlicensed voices, there’s an unexpected appeal to SpongeBob SquarePants performing songs and collecting 10.2 million views of the yellow cartoon character. His biggest hit? Don Maclean’s ‘American Pie.’
Part of the issue is that people aren’t good at telling AI-generated music from music made by humans. In a further study, musicMagpie found that 72% of participants were sure they could tell an AI-produced song from one made by humans, but 49% couldn’t do so. And it’s not an age thing; Gen Z participants were actually the most easily fooled. All of this is fodder for ongoing legal battles facing AI music startups like Suno and Udio overusing unlicensed material to train their AI models. If the Recording Industry Association of America (RIAA) and music labels can successfully argue that there’s a real monetary loss involved, they’ll likely have a stronger case against the AI model developers.
“These findings highlight a growing challenge in the music industry: as AI technology becomes more sophisticated, music lovers across multiple generations are struggling to discern between what is real and what is artificially created,” the study’s authors point out. “If nearly half of listeners can’t tell the difference between a human artist and an AI, what does this mean for the value of human creativity? How will this affect the way we create, perceive, and appreciate music in the years to come? These are questions that the industry must grapple with as AI continues to evolve.”
You might also like…
Sign up for breaking news, reviews, opinion, top tech deals, and more.
Is your latest song on repeat really sung by Blackpink or Justin Bieber? There’s a shockingly high chance that it’s a deepfake voice clone created to trick you, according to a new study from musicMagpie aptly titled Bop or Bot? The study found an astonishing 1.63 million AI covers just…
Recent Posts
- One of the best AI video generators is now on the iPhone – here’s what you need to know about Pika’s new app
- Apple’s C1 chip could be a big deal for iPhones – here’s why
- Rabbit shows off the AI agent it should have launched with
- Instagram wants you to do more with DMs than just slide into someone else’s
- Nvidia is launching ‘priority access’ to help fans buy RTX 5080 and 5090 FE GPUs
Archives
- February 2025
- January 2025
- December 2024
- November 2024
- October 2024
- September 2024
- August 2024
- July 2024
- June 2024
- May 2024
- April 2024
- March 2024
- February 2024
- January 2024
- December 2023
- November 2023
- October 2023
- September 2023
- August 2023
- July 2023
- June 2023
- May 2023
- April 2023
- March 2023
- February 2023
- January 2023
- December 2022
- November 2022
- October 2022
- September 2022
- August 2022
- July 2022
- June 2022
- May 2022
- April 2022
- March 2022
- February 2022
- January 2022
- December 2021
- November 2021
- October 2021
- September 2021
- August 2021
- July 2021
- June 2021
- May 2021
- April 2021
- March 2021
- February 2021
- January 2021
- December 2020
- November 2020
- October 2020
- September 2020
- August 2020
- July 2020
- June 2020
- May 2020
- April 2020
- March 2020
- February 2020
- January 2020
- December 2019
- November 2019
- September 2018
- October 2017
- December 2011
- August 2010