Olympic Ice Dancers Skate to AI-Generated Music

Czech duo Kateřina Mrázková and Daniel Mrázek used AI music in their Olympic debut.

At the 2026 Winter Olympics, Czech ice dancers Kateřina Mrázková and Daniel Mrázek performed to AI-generated music. This unusual choice, highlighted by commentators, raises questions about artistic integrity and the future of creative works in sports.

Katie Rowan

By Katie Rowan

February 11, 2026

5 min read

Olympic Ice Dancers Skate to AI-Generated Music

Key Facts

  • Czech ice dancers Kateřina Mrázková and Daniel Mrázek used AI-generated music in their 2026 Olympic rhythm dance program.
  • An NBC commentator mentioned the AI origin of the music during their performance.
  • The AI-generated song contained lyrics and a title strikingly similar to the New Radicals' song "You Get What You Give."
  • The International Skating Union (ISU) currently has no official rules against the use of AI music.
  • This was not the duo's first time using AI music, having faced backlash for it earlier in the season.

Why You Care

Imagine training your entire life for the Olympics, perfecting every spin and lift. Now, imagine your performance soundtrack is partly created by artificial intelligence. How do you feel about that? This is exactly what happened at the 2026 Winter Olympics, as Czech ice dancers Kateřina Mrázková and Daniel Mrázek took to the ice with AI music. This event isn’t just about figure skating; it’s a stark reminder of how AI is quietly entering unexpected corners of our lives. Why should you care? Because this trend could soon impact your favorite music, movies, or even your next creative project.

What Actually Happened

Czech ice dancers Kateřina Mrázková and Daniel Mrázek made their Olympic debut, performing a rhythm dance program that incorporated AI music, according to the announcement. The sibling duo competed at the Milano Cortina 2026 Winter Olympic games. During their performance, an NBC commentator noted, “This is AI generated, this first part,” referring to their musical selection. This choice, while not breaking any official rules, sparked considerable discussion. The Olympic ice dance competition involves two events: the rhythm dance and the free dance. This season’s theme for the rhythm dance was “The Music, Dance Styles, and Feeling of the 1990s.” Other teams, like British duo Lilah Fear and Lewis Gibson, paid tribute to the Spice Girls. United States favorites Madison Chock and Evan Bates skated to a Lenny Kravitz medley. However, Mrázková and Mrázek opted for a routine that was half AC/DC and half AI, as detailed in the blog post.

Why This Matters to You

This incident highlights a growing intersection between artificial intelligence and creative fields. For content creators, podcasters, and AI enthusiasts, this raises important questions about originality and intellectual property. Could AI-generated music become a common tool for artists seeking unique sounds or avoiding licensing fees? The duo’s previous experiences with AI music suggest a complex path forward. Earlier in the season, they faced backlash for using an AI-generated ’90s-inspired song. The International Skating Union (ISU) currently has no rules against AI music, as mentioned in the release. This lack of regulation leaves a wide-open space for interpretation and creation. What implications does this have for your own creative endeavors?

Consider this breakdown of the situation:

  • Artistic Expression: Does AI enhance or diminish human artistry?
  • Licensing & Copyright: Could AI music sidestep traditional music licensing issues?
  • Audience Reception: How do audiences react to AI-generated creative content?
  • Ethical Considerations: Where do we draw the line between AI assistance and AI replacement?

For example, imagine you are a podcaster looking for royalty-free background music. AI tools could quickly generate countless tracks tailored to your specific needs. This could save you time and money. However, it also begs the question: is the music truly original? As Shana Bartel wrote in her blog, which was cited by an art account, “I have been seething about this ever since Shana Bartel caught it and wrote about it in her blog.” This quote underscores the strong opinions surrounding AI’s role in creative performances. The use of AI music in a high-profile event like the Olympics forces us to confront these issues head-on.

The Surprising Finding

The most surprising element of this story isn’t just the use of AI music, but its uncanny resemblance to existing works. The AI-generated lyrics included phrases like, “Wake up, kids/We got the dreamer’s disease,” and “First we run, and then we laugh ’til we cry.” These lines are nearly identical to lyrics from the New Radicals’ song “You Get What You Give,” the paper states. What’s more, the AI song was titled “One Two,” which are the first words of the same New Radicals track. This close mirroring of an existing song challenges the notion of AI-generated content as entirely novel. It suggests that current AI models might be more adept at reinterpreting or remixing existing data than creating truly original compositions. This finding makes us question the true ‘creativity’ of AI. It also highlights potential copyright pitfalls for users of such tools.

What Happens Next

The integration of AI music into high-stakes performances like the Olympics is likely to continue. We can anticipate more discussions and potentially new regulations from governing bodies like the International Skating Union within the next 12-18 months. For content creators, this means staying informed about evolving AI music tools and their ethical implications. For instance, future AI tools might offer more originality checks to prevent accidental plagiarism. You might see AI music generation platforms offering clearer attribution or licensing models. The industry implications are significant, potentially leading to new business models for musicians and composers. They could collaborate with AI to produce unique sounds. Meanwhile, audiences will become increasingly accustomed to AI’s presence in various art forms. This will push the boundaries of what we consider ‘human’ creativity. The team revealed that the Czech siblings’ choice has certainly opened a dialogue that will shape the future of artistic expression.

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