📊 Full opportunity report: Raw-feed licensing. The contract that doesn’t exist yet. on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
The AI industry lacks a standardized contract for raw-feed licensing for downstream rewriting, creating a legal and economic gap. This issue echoes historical music licensing struggles and is central to future AI content regulation.
There is currently no industry-standard contract for raw-feed licensing in AI downstream rewriting, despite the clear economic and legal parallels to music streaming royalties, creating a significant regulatory and contractual gap.
Training-data licensing and display licensing are well-established and contracted within the AI industry, with deals such as OpenAI’s archive license and News Corp’s brand licensing agreements. However, the third category—raw-feed licensing for downstream per-audience rewriting—lacks a standardized contractual framework. This gap has persisted despite the unit economics of AI rewriting being comparable to music streaming royalties, which are regulated under a long-standing statutory licensing system dating back to 1909.
The absence of a formal contract stems from structural resistance among industry stakeholders, including AI labs, publishers, wire cooperatives, and search engines, each preferring to maintain a mis-priced equilibrium that benefits their position. This has led to a situation where the economic and legal frameworks that underpin music licensing serve as a reference point, but no similar scaffolding exists for raw-feed AI licensing, risking future legal and economic instability.
Raw-Feed Licensing:
The Contract That
Doesn’t Exist Yet
royalty (2025)
local Mac fleet, open-weight
streaming rate by 2027
(scaffolding scale)
Reddit–OpenAI 2024
Stack Overflow–OpenAI 2024
Shutterstock multi-deal
News Corp–Meta $150M/3yr
Axel Springer ~$13M/yr
FT $5–10M/yr · AP–Google
No standard contract.
Contract
via TollBit
via TollBit
by both licenses
as a license type
Per-stream music royalty and per-rewrite inference cost are in the same numerical neighbourhood because both are units of derivative-work production at scale. The contract that should price them against each other does not exist yet.Thorsten Meyer · Raw-Feed Licensing · Post-Wire 02
Implications of the Missing Raw-Feed Contract
The lack of a standardized raw-feed licensing contract for downstream rewriting in AI poses risks of legal disputes, inconsistent licensing practices, and potential regulatory intervention. It also hampers fair compensation for content creators and publishers, echoing early 20th-century music licensing struggles. Resolving this gap is crucial for establishing a sustainable legal framework for AI-generated content and ensuring equitable value distribution among stakeholders.
AI raw feed licensing contracts
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Historical and Industry Context of Licensing Gaps
While training-data and display licensing are contractually settled, the emerging use-case of raw-feed licensing for AI rewriting lacks an industry-standard contract. Historically, similar gaps in licensing frameworks have led to regulatory responses, as seen in the early 1900s with music copyright disputes following White-Smith v. Apollo. The current situation mirrors that period, with stakeholders resistant to formalizing a contract that would set prices and attribution standards for downstream AI rewriting, risking future legal conflicts.
“The missing contract for raw-feed licensing in AI is a structural gap that echoes the early days of music licensing, and its resolution will shape the future of AI content regulation.”
— Thorsten Meyer
Commercial Contracts : A Practical Guide to Deals, Contracts, Agreements and Promises
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Unresolved Challenges in Establishing a Standard Contract
It is not yet clear which party or combination of parties will lead the effort to create a standardized raw-feed licensing contract, or whether regulatory intervention will be necessary to impose one. The specific terms, pricing models, and attribution standards remain under discussion, with significant resistance from industry stakeholders who benefit from the status quo.
AI downstream rewriting licensing tools
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Next Steps Toward Contract Standardization
Stakeholders are expected to engage in negotiations or face potential regulatory pressure, which could lead to the development of a statutory or industry-wide licensing framework within the next 12-24 months. Monitoring policy developments and industry alliances will be key to understanding how this gap may be addressed.
AI industry licensing standards
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Key Questions
Why does the raw-feed licensing contract matter now?
The absence of a formal contract creates legal uncertainty and could hinder the fair valuation and attribution of AI-generated content, risking disputes and market instability.
How is the missing contract similar to early music licensing issues?
Both involve derivative works at scale, lack a statutory licensing framework, and are subject to stakeholder resistance, which has historically led to regulatory intervention.
Who are the main parties resisting a standardized contract?
AI labs, large publishers, wire cooperatives, and search engines each prefer to avoid formal agreements that might limit their current advantageous positions.
What are possible models for future raw-feed licensing contracts?
Potential models include per-rewrite royalties, flat fees per source story, revenue sharing, or statutory licensing, but none have yet been agreed upon.
When might we see a resolution or regulation?
Stakeholders are likely to negotiate a framework in the next 12-24 months, or face regulatory mandates that could impose a standardized contract.
Source: ThorstenMeyerAI.com
