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The Broken Revenue Model: How AI Video Models Are Exploiting Original Content Creators

5 min read Abhishek Krishna

“Your 2018 music video that cost $50,000 to produce? It’s now training AI models worth billions. You get $0.”

The AI video revolution is here. Sora, Runway, Pika Labs, and others are generating stunning video content in seconds. But behind every “magical” AI-generated video lies a fundamental injustice: the original creators whose work trained these models are being left behind in a broken revenue model.

🎬 The AI Video Gold Rush (And Who’s Missing Out)

The Numbers Don’t Lie

  • Sora (OpenAI): Estimated valuation impact of $80B+ for OpenAI
  • Runway: $1.5B+ valuation, $141M in funding
  • Pika Labs: $200M+ valuation
  • Stable Video Diffusion: Part of Stability AI’s $4B+ ecosystem

The creators whose content trained these models? Still waiting for their share.

AI Video Generation Process The evolution from original content to AI training data to billion-dollar valuations

🎭 The Hidden Cost: Your Content Is Their Training Data

What’s Being “Borrowed” Without Permission:

  • Music Videos: Choreography, cinematography, editing styles
  • Film Clips: Acting techniques, scene composition, visual effects
  • Commercials: Brand aesthetics, product presentation
  • Documentaries: Real-world footage, interviews, archival content
  • Animation: Character designs, movement patterns, visual styles

Example: A Bollywood dance sequence from 2019, featuring original choreography and cultural elements, gets scraped into training data. The choreographer and performers see their work recreated by AI without compensation or credit.

💰 The Revenue Model Breakdown

Current State: A One-Way Street

What HappensWho BenefitsWho Loses
Content gets scrapedAI companies (billions)Original creators ($0)
Models generate revenuePlatform investorsContent owners
Licensing deals happenTech giantsIP holders
Cultural elements usedGlobal AI usersCultural creators

The Math That Doesn’t Add Up

  • Original Content Cost: $50K - $500K per video
  • AI Model Revenue: Billions in valuation
  • Creator Compensation: $0
  • IP Protection: Minimal to none

🌍 Global Impact: From Hollywood to Bollywood to Nollywood

Hollywood’s Wake-Up Call

Scarlett Johansson’s voice cloning controversy was just the beginning. Now it’s entire performances, scenes, and creative works being replicated.

Bollywood’s Cultural Heritage at Risk

India’s rich cinematic tradition—from classical dance sequences to regional storytelling—is being absorbed into AI models without cultural context or creator compensation.

Nollywood’s Rising Stars

Africa’s fastest-growing film industry faces the same threat: their unique storytelling and visual styles feeding AI models without benefit.

K-Pop’s Global Influence

K-pop music videos, with their distinctive choreography and visual aesthetics, are prime training data for AI video models.

Psy’s Gangnam Style represents one of the most iconic cultural phenomena of the digital age. The choreography, visual style, and cultural elements are now being used to train AI models without compensation to the original creator.

🔍 The Technical Reality: How Video Models “Learn”

The Training Process

  1. Data Collection: Millions of video clips scraped from the internet
  2. Feature Extraction: Learning patterns, movements, styles
  3. Model Training: Creating generative capabilities
  4. Commercialization: Selling access to the trained model

What Gets “Learned”:

  • Movement Patterns: Dance moves, gestures, expressions
  • Visual Styles: Cinematography, color grading, composition
  • Cultural Elements: Traditional dances, regional aesthetics
  • Creative Techniques: Editing styles, transitions, effects

🛡️ The Current “Protection” Gap

  • Fair Use Claims: AI companies argue training is “transformative”
  • Data Scraping: Often happens without explicit consent
  • Jurisdictional Issues: Global content, local laws
  • Enforcement Challenges: Proving infringement is complex

Technical Barriers

  • Attribution Difficulty: Hard to trace which content influenced which output
  • Derivative Works: AI generations are “new” but based on existing IP
  • Scale Issues: Millions of creators, limited legal resources

💡 IPTO’s Vision: A Fair Video Economy

The Solution: Transparent Video Licensing

FeatureBenefit for Creators
🎯 Selective LicensingChoose which videos to license for AI training
💰 Fair RoyaltiesGet paid when your content trains models
📊 Usage TrackingSee how your content influences AI outputs
🌍 Cultural ProtectionPreserve cultural context and attribution

How It Would Work

  1. Content Registration: Upload your video content to IPTO
  2. Licensing Terms: Set your own pricing and usage conditions
  3. AI Model Integration: Models pay to access your content
  4. Revenue Sharing: Transparent payments based on usage

🎬 Real-World Scenarios

Scenario 1: The Independent Filmmaker

Maria, a documentary filmmaker, spent 2 years creating a film about traditional dance forms. Her work gets used to train AI models that can now generate similar cultural content. With IPTO, Maria could:

  • License specific scenes for AI training
  • Set cultural usage guidelines
  • Receive ongoing royalties

Scenario 2: The Music Video Director

Raj, a Bollywood music video director, created iconic dance sequences. His choreography and visual style are now being replicated by AI. IPTO would enable:

  • Licensing of choreography patterns
  • Protection of cultural elements
  • Fair compensation for influence

Scenario 3: The Animation Studio

Studio K, a Japanese animation studio, has distinctive character designs and movement styles. Their work feeds AI models without benefit. IPTO could provide:

  • Character design licensing
  • Style protection
  • Revenue from AI-generated content

🚀 The Path Forward: Building a Fair Video Economy

Immediate Actions Needed

  1. Creator Awareness: Understand how your content is being used
  2. Legal Advocacy: Push for stronger IP protections
  3. Platform Solutions: Tools like IPTO for transparent licensing
  4. Industry Standards: Fair compensation models

Long-Term Vision

  • Transparent AI Training: Clear attribution and compensation
  • Cultural Preservation: Respect for cultural context and heritage
  • Sustainable Creator Economy: Fair revenue sharing for all stakeholders

🎯 The Bottom Line

AI video models are creating unprecedented value, but that value should be shared with the creators whose work made it possible. The current model is broken, but it doesn’t have to stay that way.

IPTO is building the infrastructure to make AI video fair for everyone—creators, platforms, and users alike.

🛠️ Get Involved


The future of AI video should benefit everyone, not just the tech companies. It’s time to fix the broken revenue model.


Abhishek Krishna
Founder, IPTO
LinkedIn | X/Twitter

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