How AI-Generated Music Is Changing Copyright and Royalty Management

AI-Generated Music Is Creating New Copyright Challenges

The rapid rise of AI-generated music is transforming the digital music industry—but it is also creating significant challenges for copyright protection, royalty distribution, metadata management, and online enforcement.

As streaming platforms receive an increasing number of AI-generated tracks, copyright authorities and music industry stakeholders are looking for stronger systems to protect human creators and copyright owners.

The issue was a key focus of the 2026 Philippines-Korea Copyright Forum, jointly organized by the Intellectual Property Office of the Philippines (IPOPHL), South Korea’s Ministry of Culture, Sports and Tourism (MCST), and the Korea Copyright Protection Agency (KCOPA).

Why Copyright Protection Matters in the Age of AI

IPOPHL Director General Teodoro Pascua highlighted the growing importance of digital rights management (DRM) as artificial intelligence makes it easier to create and distribute music on a massive scale.

According to Pascua, digital rights management is no longer simply an administrative function. It has become an important foundation for trust, accountability, fair compensation, and innovation in the digital creative economy.

With AI tools capable of generating music within seconds, distinguishing between human-created, AI-assisted, and fully AI-generated works is becoming increasingly important for copyright administration.

AI Music and the Growing Pressure on Streaming Platforms

The scale of AI-generated music entering streaming services demonstrates how quickly the industry is changing.

French streaming platform Deezer reported that AI-generated tracks represented 44% of daily uploads to its platform.

This rapid growth raises concerns beyond the question of whether an AI-generated song can receive copyright protection. Industry stakeholders are also concerned about how AI-generated content could affect music discovery, royalty pools, metadata accuracy, and payments to legitimate rightsholders.

Philippines Recorded Music Rights Inc. (PRM) General Manager Ace Acosta identified several risks associated with mass uploads of AI-generated music, including:

• Royalty hijacking and fraud

• Manipulation of streaming search algorithms

• Diversion of revenue away from human creators

• Incorrect or misleading music metadata

• Conflicts with existing music catalogs

• Difficulty identifying legitimate copyright owners

These challenges could make it increasingly difficult for platforms and collective management organizations to determine who should receive royalties.

Metadata Could Become the Backbone of AI Music Copyright Protection

One of the major themes emerging from the Philippines-Korea copyright discussions is the importance of accurate and interoperable music metadata.

Metadata provides critical information about a musical work, including details about the song, songwriter, performer, publisher, recording, and other rightsholders.

When thousands or millions of AI-generated tracks are uploaded with inaccurate, incomplete, or conflicting metadata, identifying legitimate rights claims becomes significantly more difficult.

Better metadata governance could therefore help streaming platforms and rights organizations:

• Identify music and rightsholders more accurately

• Detect potentially fraudulent claims

• Track music usage

• Improve royalty distribution

• Reduce conflicts between catalogs

• Create more transparent copyright records

In other words, the future of AI music copyright protection may depend not only on legal rules but also on the quality of the underlying rights data.

Philippines Examines Fair Use, Data Scraping and Human Authorship

The Philippines is also examining several difficult legal questions surrounding artificial intelligence and copyright.

Lawyer Oliver Xavier Reyes of Disini Buted Disini Law Offices discussed issues including fair use, data scraping, human authorship, and online copyright enforcement.

These questions are becoming increasingly relevant because AI systems often rely on enormous quantities of digital data during development and training.

The debate surrounding AI and copyright therefore extends beyond AI-generated songs themselves. It also involves questions about how copyrighted works are collected, processed, used, and potentially reproduced by AI systems.

South Korea Strengthens Online Copyright Enforcement

South Korea has also been developing stronger mechanisms to respond to online copyright infringement.

Under its revised 2026 Copyright Act, South Korea introduced an emergency blocking mechanism that allows the Ministry of Culture, Sports and Tourism to order access to an infringing website to be blocked before committee deliberation in specific circumstances.

The mechanism applies when infringement is clear, immediate intervention is necessary to prevent irreparable harm, and no other effective remedy is available.

According to KCOPA, the mechanism is particularly relevant to overseas piracy websites that frequently change their configurations to avoid enforcement.

This reflects a broader shift toward faster copyright enforcement as digital infringement becomes increasingly sophisticated.

South Korea's Music Rights Infrastructure Offers a Potential Model

South Korea has also invested in digital infrastructure for music rights management.

The country established a comprehensive music rights database by 2020 and subsequently developed an integrated platform capable of collecting information about music usage.

Such systems can support:

• Transparent remuneration

• Verifiable royalty distribution

• Better identification of rightsholders

• Improved music usage tracking

• Data-driven policymaking

For an industry dealing with an explosion of AI-generated content, these systems could become increasingly valuable.

Collective Management Organizations Have a Bigger Role to Play

The forum also highlighted the importance of collective management organizations (CMOs).

CMOs help manage copyright and related rights on behalf of creators and other rightsholders. Their role becomes particularly important when music is distributed across numerous digital platforms and jurisdictions.

As AI-generated music increases, CMOs may need more sophisticated systems to verify ownership, track usage, identify fraudulent claims, and distribute royalties accurately.

AI May Not Be the Only Problem

Although artificial intelligence is accelerating many of the challenges facing the music industry, participants at the Philippines-Korea forum emphasized an important point: the underlying problem of managing accurate and accessible music rights information existed before generative AI became widespread.

AI is essentially increasing the volume and complexity of the problem.

If rights information is incomplete or inconsistent, large-scale AI-generated music uploads can make existing weaknesses much more difficult to manage.

This means that improving copyright infrastructure, rights databases, metadata standards, and information-sharing systems could be just as important as developing new AI-specific copyright regulations.

What the Future of AI Music Copyright Could Look Like

The growth of AI-generated music is likely to push governments, streaming platforms, record companies, creators, and copyright organizations toward more sophisticated rights-management systems.

Future solutions may increasingly focus on:

1. Better music metadata standards

2. Integrated copyright databases

3. Improved AI-content identification

4. Transparent royalty tracking

5. Stronger anti-fraud mechanisms

6. Faster online copyright enforcement

7. Clearer rules around human authorship

8. Greater transparency in AI-generated and AI-assisted music

The challenge will be to protect human creators without unnecessarily restricting technological innovation.

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Conclusion

The Philippines-Korea Copyright Forum demonstrates how AI-generated music is forcing copyright systems to evolve.

As AI makes music creation and distribution faster and cheaper, the industry needs reliable ways to identify works, verify rightsholders, track usage, and distribute royalties fairly.

The future of music copyright may therefore depend on more than determining whether an AI-generated song is copyrightable. It will also depend on building accurate, interoperable, transparent, and scalable digital rights infrastructure.

With AI-generated music continuing to occupy a growing share of streaming platforms, governments and the music industry will need to strengthen these systems before copyright enforcement and royalty distribution become even more difficult.