When AI Composes the Music, Who Collects the Royalties?

Music has always been regarded as one of the most personal forms of artistic expression. Today, however, an algorithm can compose a melody, generate lyrics, imitate famous singers, and produce a studio-quality track within minutes.

This technological shift raises an important legal question: if nobody physically composed the music, who owns it?

The answer has significant implications for artists, producers, streaming platforms, record labels, and businesses increasingly relying on AI-generated content.

Modern AI music platforms analyse enormous collections of existing musical works before generating entirely new compositions.

Although these outputs may appear original, they are often influenced by patterns learned from copyrighted material. This creates two distinct legal questions.

The first concerns ownership of the newly generated song.

The second concerns whether the AI system unlawfully relied upon copyrighted works during its training.

These issues are becoming increasingly relevant as AI-generated music enters commercial advertising, films, gaming, and digital entertainment.

Indian copyright law protects original musical and literary works created through human creativity.

Where AI merely assists musicians by suggesting melodies or harmonies, copyright protection is unlikely to present major difficulties because human creative control remains substantial.

Greater uncertainty arises when AI independently produces an entire composition after receiving only a short text prompt.

Questions immediately arise regarding:

Who composed the music?

Who wrote the lyrics?

Who owns the recording?

Who receives future royalty payments?

Current legal principles suggest that AI itself cannot become the copyright owner. However, identifying the appropriate human claimant remains a complex factual question depending upon the level of creative involvement.

An equally significant issue concerns copyright infringement.

If an AI-generated song closely resembles an existing composition, determining whether infringement has occurred becomes considerably more challenging. Similarity may result from unlawful copying, statistical learning, or coincidence. Existing legal tests may require adaptation as courts confront these disputes.

The commercial music industry increasingly relies upon artificial intelligence for composition, sound design, voice synthesis, and production.

Without clear ownership rules, licensing negotiations become uncertain.

Artists may also face increased risks where AI systems imitate their distinctive musical styles without directly copying specific works.

The debate therefore extends beyond copyright ownership and into questions concerning artistic identity, commercial fairness, and innovation.

• AI-generated music raises questions regarding authorship and royalty ownership.

• Human creative contribution remains central to copyright protection.

• Training AI using copyrighted songs may create separate infringement issues.

• Music businesses should adopt transparent AI usage policies.

• Future judicial guidance will likely reshape copyright principles for digital music.

Artificial intelligence is transforming how music is created, but copyright law continues to ask an old question: who is the creator?

Until clearer legal standards emerge, businesses should ensure meaningful human involvement in AI-assisted musical works and maintain clear documentation regarding the creative process. The future of music will undoubtedly involve artificial intelligence, but the future of copyright will continue to depend upon identifying genuine human creativity.