AI-generated fan songs are arriving faster than ever, but questions about ownership, originality, and artist credit remain unresolved.

WHAT’S HAPPENING

As the World Cup approaches, AI-generated music is becoming part of the fan experience. New tools can create songs in minutes, allowing teams, brands, creators, and supporters to produce customized anthems and fan tracks at unprecedented speed.

While some AI-generated songs may feature awkward accents, repetitive lyrics, or simplified musical structures, many listeners appear willing to overlook these flaws in exchange for novelty, personalization, and instant availability.

The result is a growing test case for how AI-generated music may be used in mainstream entertainment and global events.

WHY IT MATTERS

The technology is advancing faster than the rules governing it.

Questions surrounding artist attribution, intellectual property rights, training data, royalties, and ownership remain largely unresolved. At the same time, AI dramatically lowers the cost and time required to create music for specific audiences, events, and moments.

The World Cup may offer a glimpse into a future where music is increasingly generated on demand rather than created through traditional production processes.

WHO BENEFITS

• Sports Organizations — AI allows tournaments, teams, and sponsors to rapidly create localized music and fan content for different audiences.
• Content Creators — Independent creators can produce custom songs without needing professional musicians, studios, or large budgets.
• AI Music Companies — Growing public acceptance provides an opportunity to expand adoption and showcase the capabilities of AI-generated music.
• Fans — Supporters gain access to personalized songs, team anthems, and event-specific content tailored to their interests.

WHO LOSES

• Traditional Musicians — Some music production work may shift from human creators to automated systems.
• Songwriters and Composers — Attribution and compensation become more complicated when AI models contribute to the creative process.
• Music Rights Holders — Ongoing uncertainty over training data and ownership could create legal and licensing challenges.
• Established Production Studios — Quick-turnaround AI music may replace some lower-budget commercial and promotional projects.

WHAT HAPPENS NEXT

Expect AI-generated music to become increasingly common around major sporting events, political campaigns, marketing initiatives, and social media trends.

The bigger battle will not be whether AI can create songs.

It will be determining who owns them, who gets credit for them, and how human creativity is valued when music can be generated instantly at scale.