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AI-Generated Music and the Sync Industry: A Looming Disruption

Writer's picture: Ben PorterBen Porter

AI-Generated Music in the Sync Industry

The rapid evolution of AI-generated music is reshaping industries across the board, and the sync licensing sector is no exception. As AI-powered platforms create music at unprecedented speed and scale, companies seeking cost-effective solutions for advertisements, films, and TV shows are beginning to turn away from human composers in favor of AI-generated tracks. This shift has significant implications—not only for musicians but also for the integrity of music licensing itself.


The Budget Cuts: How AI-Generated Music is Replacing Human Musicians in Sync

The sync industry has long been a crucial source of income for composers, producers, and independent artists. From TV commercials to background scores in films, licensing fees have provided sustainable revenue for musicians worldwide. However, AI is now producing “stock music” with impressive efficiency, allowing content creators to generate full compositions at a fraction of the cost of human-made tracks.


With major companies constantly looking for ways to cut expenses, the allure of AI-generated music is undeniable. Instead of spending more money licensing a track from a human composer, a studio can now generate a custom AI-made piece for little to no cost. This shift threatens to devalue human creativity and push musicians further out of the licensing ecosystem.


The Copyright and Licensing Gray Area

One of the biggest concerns surrounding AI-generated music in sync licensing is the lack of clear accountability and attribution. Traditional sync deals involve licensing agreements that compensate rights holders, ensuring that creators are fairly paid for their work. However, AI-generated tracks still exist in a legal gray area, built from AI models trained on existing copyrighted works that continue to raise ethical and legal concerns about their originality.


Famous lawsuits such as The RIAA vs Suno and Udio are set to play a crucial role in establishing potential licensing frameworks, and general transparency, as it pertains to AI-generated music. As things stand, anyone is free to use AI-generated music for their project without any human compensation, meaning that musicians could lose control over how their music is used and whether it’s competing against AI-generated alternatives derived from their own work.


How DeepMatch Ensures Transparency in Sync Licensing

It's clear. Having efficient technology that can distinguish AI-generated compositions from human-created works is essential. This is why we developed DeepMatch, a cutting-edge tool that can accurately identify whether a song was generated by AI or a human.


Using proprietary algorithms to create a detailed analysis of a given track, DeepMatch can pinpoint AI-generated patterns and even determine the platform of origin. For rights holders, music libraries, licensing agencies and more, this technology ensures that it's now possible to verify the authenticity of the music you're working with.


Ultimately, with DeepMatch, the sync industry can enforce transparency, helping companies make informed decisions while protecting human musicians from being unfairly undercut.


Conclusion: The Need for Licensing Frameworks and AI Detection

The rise of AI-generated music in the sync industry presents both an opportunity and a challenge. While AI can streamline music production, it currently poses a serious threat to the traditional licensing system, devaluing human-made compositions. Without proper regulations and detection tools, the industry risks eroding fair compensation for artists.


With tools like DeepMatch, industry professionals can track and regulate the use of AI-generated music, ensuring that human artistry remains at the forefront of sync licensing. As AI continues to shape the future of music, maintaining transparency and fair compensation for creators will be crucial in preserving the integrity of the industry.


Looking to speak to one of our team about DeepMatch? Get in touch here.


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