The idol group ATEEZ's song has been transformed into a 'Latin trot' through artificial intelligence (AI), gaining significant attention online. AI cover content that reinterprets the latest K-pop songs into trot, 7080 pop, and traditional Korean music is emerging rapidly.
According to the domestic YouTube AI music aggregation site Gemboard, the video 'ATEEZ - BAD (Latin Trot Version)' released by the YouTube channel 'ERRDAY DRIP' has surpassed 1.2 million views and ranked sixth on the AI Music Top Weekly Chart.
The video was released on July 12. It features a music video that reimagines ATEEZ's original song 'BAD' with a blend of Latin music and trot, created and synthesized through AI.
The original 'BAD' is the title track from ATEEZ's mini-album 'GOLDEN HOUR: Part.5,' released on June 26. The album includes five tracks, including 'BAD,' 'MAMACITA,' 'TOXIN,' 'Fallin',' and 'Body.'
AI covers transforming K-pop into trot are not limited to 'BAD.' The same channel released a trot version of singer Choi Yena's 'Catch Catch' on June 13, which also exceeded 1.5 million views on YouTube. This video was also created and synthesized using AI.
A video reinterpreting NewJeans' 'Right Now' into trot was released on June 24, altering the original melody and atmosphere to evoke the unique rhythm and vocal style of trot.
AI-driven genre transformations extend beyond trot. Gemboard features AI cover videos that reinterpret TVXQ's 'Mirotic' in a traditional Korean style, as well as SHINee's 'Replay,' f(x)'s 'La Cha Ta,' and the collaboration of SeeYa, Davichi, and T-ara's 'Women's Generation' into the vibe of 1970s and 1980s pop.
AI music content is being created not only by mimicking the voices of existing artists but also by changing the genre and overall atmosphere of songs. With the emergence of videos that reconfigure the latest K-pop into trot, 7080 pop, and traditional Korean styles, AI covers are establishing themselves as a distinct content type, allowing audiences to experience familiar songs in entirely new ways.
* This article has been translated by AI.
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