The music industry witnessed a historic moment in late 2025 when Xania Monet, an AI-generated R&B artist created by Mississippi poet Telisha Jones using the Suno platform, signed a $3 million record deal with Hallwood Media. This landmark agreement has sent shockwaves through the independent music community, raising critical questions about copyright ownership, monetization rights, and what it means to be an "artist" in the AI era.

For independent musicians, understanding these copyright distinctions isn't just academic. It's the difference between owning your work and losing it, between earning royalties and watching them disappear into legal gray areas.

The Four Pillars of AI Copyright Challenges

The U.S. Copyright Office's January 2025 ruling that "AI generated work can be copyrighted when it embodies meaningful human authorship" has irreversibly changed the music industry. This decision highlights four fundamental challenges that AI introduces to music copyright:

• Authorship: Who created the work, human or machine?
• Originality: Is AI-generated content truly original or derivative?
• Derivative works: Does AI training on existing music create unauthorized derivatives?
• Protection: What AI outputs qualify for copyright protection?

What Gets Protected vs. What Enters the Public Domain

The distinction between protectable and unprotectable AI music is clearer than many artists realize. If an artist uploads a fully AI-generated song to a streaming platform, they cannot prevent anyone from copying, remixing, or distributing that song, because without meaningful human involvement that creation enters the public domain.

Here's the breakdown independent artists need to understand:

The PRO Response: New Rules for AI Registration

The industry's performing rights organizations responded swiftly to the AI revolution. In October 2025, ASCAP, BMI and SOCAN announced they would accept registrations of musical compositions partially generated using artificial intelligence tools, defining these as works that combine AI-generated musical content with elements of human authorship, while compositions entirely created using AI tools remain ineligible.

This policy shift represents a pragmatic approach to an unstoppable trend. The alignment among the three major North American PROs reflects the fact that songwriters and composers increasingly incorporate a variety of AI tools into their creative process and workflow.

What This Means for Royalty Collection

BMI clarified that hybrid works with AI involvement will not be compensated differently from fully human-created songs, meaning royalties and performance rights will still flow normally through the PRO system. However, there's an important caveat: while not mandatory, all three PROs recommend that creators disclose the use of AI in their submissions, as transparency "helps maintain clarity around authorship and aligns with evolving industry standards".

Songwriters and composers have always experimented with innovative tools as part of their creative process, and AI is no exception.

Elizabeth Matthews
CEO, ASCAP

The Billion-Dollar Legal Battle

While independent artists figure out AI copyright, the industry's biggest players are fighting trillion-dollar battles in court. In June 2024, all three major music labels launched coordinated lawsuits against AI music generators Suno and Udio through the RIAA, with RIAA Chairman Mitch Glazier stating that "unlicensed services like Suno and Udio that claim it's 'fair' to copy an artist's life's work and exploit it for their own profit without consent or pay set back the promise of genuinely innovative AI for us all".

The stakes are enormous. In September 2025, authors settled a copyright infringement case against AI company Anthropic for $1.5 billion over the use of pirated books to train AI models, marking the largest AI copyright settlement ever recorded.

Settlement Trends Signal Industry Evolution

However, the legal landscape is rapidly shifting from confrontation to collaboration. By November 2025, both Universal Music Group and Warner Music reached compensatory settlements with Udio in the form of licensing deals, where Udio pays fees for permission to use the labels' works to train their models.

Settlements and partnerships were the big trend in AI copyright litigation in 2025, and they're likely to multiply in 2026. This suggests the industry is moving toward a licensed framework rather than outright prohibition.

Real-World Case Study: The Xania Monet Blueprint

The Xania Monet deal provides a practical roadmap for how AI copyright works in practice. Manager Romel Murphy emphasized that approximately 90% of Monet's lyrics are written from creator Telisha Jones's own life, while the remaining 10% is inspired by friends and community.

This case highlights the critical importance of human authorship in the creative process. Sources report that Xania Monet is confident she owns the rights to both her master recordings and musical compositions, given the amount of human input used to create her music as well as the lyrics.

The Platform Terms Factor

Under Suno's terms of service, subscribers of premium tiers are given full control of songs they create and "retain the rights to commercial use," even after ending their subscription. However, this comes with a major caveat: Suno's own terms admit "Due to the nature of machine learning, Suno makes no representation or warranty to you that any copyright will vest in any Output".

Practical Steps for Independent Artists

Given the current legal landscape, independent artists should follow these guidelines when working with AI:

• Always maintain significant human creative input in any AI-assisted work
• Document your creative process to prove human authorship
• Disclose AI use when registering works with PROs
• Understand platform terms before using AI music generators
• Avoid releasing fully AI-generated content commercially

The Documentation Strategy

Smart independent artists are already creating paper trails for their AI-assisted work. Keep detailed records of:

1. Original ideas, lyrics, or melodies you contribute
2. AI prompts you use and how you modify the output
3. Your creative decisions in arranging, editing, or combining elements
4. Any additional instrumentation, vocals, or production you add

The Future Landscape

AI will remain a major talking point in the music industry throughout 2026, as pretty much all the big copyright questions and disputes relating to generative AI remain unanswered and unresolved. However, the trend toward licensing and collaboration suggests a more stable framework is emerging.

The industry backlash against AI has been fierce. In April 2024, over 200 prominent artists including Billie Eilish, Nicki Minaj, Stevie Wonder, and Katy Perry signed an open letter specifically targeting AI music generators. Yet deals like Xania Monet's prove the technology isn't going away.

Independent artists must navigate this tension carefully. The key is understanding that the use of AI to assist in the process of creating a song or the inclusion of AI-generated material in a larger human-generated musical work does not bar copyrightability, but it requires maintaining meaningful human creative control.

Looking Ahead: What to Watch

Several developments will shape AI copyright in 2026:

• Court decisions: Ongoing lawsuits will establish precedents for fair use and training data
• International standards: Different countries are developing varying approaches to AI copyright
• Platform evolution: AI music tools will likely implement better licensing and attribution systems
• Industry consolidation: More licensing deals between labels and AI companies

The Xania Monet deal marks a watershed moment, but it's just the beginning. Independent artists who understand these copyright principles and document their human creative contributions will be best positioned to benefit from AI while protecting their rights.

The message is clear: AI can be a powerful creative tool, but copyright law still puts humans first. As long as you maintain meaningful creative control and can prove your human authorship, your AI-assisted work can be fully protected and monetized. The key is knowing where to draw the line between assistance and replacement.