Home » Technology » AI Music: Can Humans Tell the Difference? Concerns and Legal Battles Emerge

AI Music: Can Humans Tell the Difference? Concerns and Legal Battles Emerge

by Rachel Kim – Technology Editor

AI-generated⁢ Music Floods Charts, Raises Copyright Concerns – and Fools ⁣Listeners

SEOUL, SOUTH KOREA – november‍ 15,⁣ 2025 – A surge in artificial intelligence-generated music is rapidly ‍reshaping the industry, with⁢ AI artists achieving chart success and sparking legal battles over copyright. Recent data reveals a notable portion of listeners are ⁢unable to distinguish between human-created and AI-produced songs, raising questions about the future of the popular music scene.

spotify announced​ in⁤ September it had⁣ removed 75⁣ million pieces of “spammy AI music” ‌from its platform this year.‌ together,AI-created tracks ‌are ⁢topping Billboard charts. The song “Walk My Walk” by AI​ artist Breaking ​Rust ⁢recently reached number one on Billboard’s Country Digital Song sales chart. Earlier‍ this month, virtual artist Xania Monet ⁤became the first AI artist to top a billboard chart, claiming the top spot on the U.S.Billboard R&B Digital‍ Song Sales chart and securing a ⁢$3 million (approximately 4.4 billion​ won) record deal.

The rise of AI music is prompting platforms like ⁣Spotify to develop tools to detect ‌AI-generated content and tag 100% AI-produced songs. However, a key legal challenge remains: ‍according to Forbes, songs created entirely ‌by AI currently do not qualify for ⁣copyright protection in the U.S., as the U.S. Copyright Office recognizes only works created “through human intervention.”

Despite this, most AI-generated songs are currently receiving royalties through the same channels‌ as traditionally​ produced music, as streaming platforms like⁢ Spotify and Apple Music haven’t ‍established clear policies.

This legal ambiguity has led to lawsuits. Last ⁤year,major record labels including Sony Music and Worldwide Music filed copyright infringement suits⁤ against AI‍ composition ‌programs Suno and Udio,alleging the algorithms were⁣ trained on‍ copyrighted material ​without permission. Suno responded, stating,⁢ “Our ⁤system is‍ not designed to⁢ simply ‍copy existing ⁢songs, but to⁢ create wholly new results.”

Concerns about ⁢the⁣ impact‍ on human artists are ​growing. Ed Newton Rex, founder of the non-profit institution ‍Fairly Trained, stated, “AI’s use of work ⁤without permission ⁣to create similar products leads to a loss ‍of revenue from human artists.”

The increasing sophistication of AI music generation, coupled with ⁤the difficulty in detection – with reports ‍indicating 97% of listeners are fooled – suggests a potentially dramatic shift in the music‌ landscape.

You may also like

Leave a Comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.