79% of Musicians Fear AI: What the PRS Survey Reveals About the Future of Music

The numbers are in, and they're stark: 79% of musicians are worried about AI-generated music competing with their human-created work.

That's according to a major survey from PRS for Music released in early 2026, surveying over 2,600 music creators in the UK.

The Key Findings

Concerns are rising even as understanding improves. Musicians aren't afraid because they don't understand AI—they're afraid because they do.

What Musicians Want

The survey revealed near-unanimous demands:

Compensation

93% agree that if AI systems use their music to generate new content, they should be paid.

Currently, most AI music generators:

• Trained on massive datasets of existing music
• Don't compensate original artists
• Operate in legal gray areas
• Face ongoing lawsuits

Consent (Opt-In)

Over 90% want the ability to choose whether their works can train AI.

This means:

• Explicit permission required
• Easy opt-out mechanisms
• Registry of training data sources
• Penalties for unauthorized use

Transparency

92% demand that AI tools disclose how music is generated.

Musicians want to know:

• What training data was used?
• When is output AI-generated?
• How much is human vs AI contribution?
• Clear labeling on streaming platforms

The Economic Stakes

UK Creative Industries

PRS for Music emphasized the economic importance:

Unregulated AI threatens this economic engine.

Revenue Impact for Musicians

AI music already impacts earnings:

1. Streaming dilution - More tracks = smaller royalty pool per artist
2. Job displacement - Jingles, background music, production work
3. Devaluation - "Why pay for music when AI is free?"
4. Training exploitation - Past work used to train competitors

Rising Understanding

Interestingly, understanding of AI has increased significantly:

This 19-point jump suggests musicians are actively learning about the technology. The fear isn't ignorance—it's informed concern.

What They're Learning

Musicians now understand:

• How AI models are trained on existing music
• That "AI-generated" doesn't mean "created from nothing"
• The scale of AI output (60,000+ tracks daily to platforms)
• Legal vulnerabilities in the current system
• Potential for displacement in specific roles

PRS for Music's Response

John Mottram, Chief Strategy Officer at PRS for Music, stated that while music creators are using AI to enhance creativity, policymakers must ensure livelihoods are protected.

Policy Recommendations

PRS is advocating for:

1. Transparency legislation - Require disclosure of AI training data
2. Consent frameworks - Opt-in for training data use
3. Compensation mechanisms - Royalties when AI uses copyrighted work
4. Labeling standards - Clear identification of AI-generated content
5. Industry collaboration - Unified standards across platforms

The Two Sides of AI in Music

Musicians Using AI (Positive)

Not all AI use is threatening. Many musicians embrace AI for:

These uses complement rather than replace human creativity.

AI Replacing Musicians (Concern)

The threat comes when AI:

• Generates complete songs for commercial use
• Undercuts pricing on sync licensing
• Floods platforms with cheap alternatives
• Trains on copyrighted work without consent
• Automates roles traditionally requiring humans

Industry Responses

Labels

Major labels are taking action:

• Universal Music Group - Licensing deals with some AI companies
• Warner Music - Similar selective partnerships
• Sony Music - More cautious, emphasizing artist consent

Streaming Platforms

Platforms are responding:

• Deezer - AI detection, demonetization of fraud
• Spotify - Piloting AI labeling features
• Apple Music - Unclear position on AI content

AI Companies

Some are seeking legitimacy:

• Suno - Deal with Warner preserving download rights
• Udio - Deals with labels (with restrictions)
• ElevenLabs - Licensing with Merlin, Kobalt

What Can Musicians Do?

Short-Term Actions

1. Register works with PROs (ASCAP, BMI, PRS)
2. Document processes to prove human creation
3. Join advocacy groups pushing for legislation
4. Opt out where possible from AI training
5. Stay informed on industry developments

Long-Term Strategy

1. Emphasize uniqueness - Live performance, personality, story
2. Build direct relationships - Fan communities, newsletters
3. Diversify income - Teaching, sync licensing, session work
4. Embrace useful AI - Tools that enhance your work
5. Collaborate strategically - Human+AI as a differentiator

Looking Forward

Legislative Timeline

Industry Evolution

Likely outcomes:

• Clearer licensing frameworks for AI training
• Compensation pools for AI-generated revenue
• Improved detection of AI content
• Human certification as a premium marker
• New hybrid roles combining human and AI work

Key Takeaways

⚠️ 79% of musicians fear AI competition

⚠️ 76% believe AI could harm their livelihoods

✅ 70% now understand how AI works (up from 51%)

✅ 93% demand compensation when AI uses their music

✅ 92% want transparency in AI generation

Explore the AI music landscape: Read our Suno vs Udio Controversy coverage and Deezer's 60K AI Tracks Problem.