📊 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
There is currently no standardized contract for raw-feed licensing in AI, despite clear economic parallels with music streaming royalties. This gap affects industry stakeholders and could shape future licensing frameworks.
Industry experts confirm that a formal, industry-standard contract for raw-feed licensing—used for downstream AI rewriting—does not currently exist, despite the economic and legal similarities to music streaming royalties. This gap impacts AI labs, publishers, wire cooperatives, and search engines, and is a central issue in the evolving licensing landscape.
Confirmed facts indicate that licensing for training data and display rights are contractually established, with deals such as OpenAI’s archive license and News Corp’s display licensing at brand-tier rates. However, the third category—raw-feed licensing for downstream rewriting—lacks a standardized contract, creating a significant legal and economic void. The numbers involved are comparable to music streaming royalties, which are governed by well-established statutory frameworks since 1909. The absence of a formal contract means that parties are operating in a regulatory and legal gray area, often favoring arrangements that do not fully price the economic collision between AI inference costs and royalty rates. Industry insiders attribute this gap to structural disagreements among stakeholders, including AI labs, publishers, wire cooperatives, and search engines, each preferring to maintain the status quo that benefits their interests.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 creates economic and legal uncertainty, potentially leading to disputes, underpayment, or regulatory intervention. It hampers the development of a fair and transparent licensing ecosystem for AI-generated content, risking future industry fragmentation and legal challenges.AI training data licensing contracts
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Historical and Industry Context of Licensing Gaps
Historically, music streaming royalties established a legal framework through the 1909 Copyright Act and subsequent legislation, setting a precedent for derivative work licensing. Today, the AI industry faces a similar structural gap: while training-data and display licensing are contractually settled, raw-feed licensing for downstream rewriting remains undefined. Stakeholders have negotiated deals in other categories, but the missing contract for raw-feed use reflects a broader unresolved tension over fair compensation, attribution, and derivative rights. This situation echoes the early 20th-century legal battles in music, where legislative and regulatory responses eventually shaped the industry’s licensing norms.“The missing contract category for raw-feed licensing is the structural moment the industry is facing, akin to the early days of music streaming regulation.”
— Thorsten Meyer
raw-feed licensing software tools
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Unresolved Legal and Economic Challenges
It is not yet clear how the missing contract will be structured, who will lead its creation, or whether industry-wide consensus can be reached. The specific terms—such as pricing units, attribution standards, scope of derivative works, and audit rights—remain under debate, with stakeholders divided on the best approach.

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Next Steps Toward Contract Standardization
Industry stakeholders, regulators, and legal experts are expected to engage in negotiations and possibly legislative actions to define the missing contract. The development of a standardized framework could take months or years, influenced by ongoing legal, economic, and technological developments. Watch for proposals from industry groups and potential regulatory interventions that could formalize raw-feed licensing terms.
AI licensing legal templates
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Key Questions
Why does the raw-feed licensing contract matter now?
Because the economic collision between AI inference costs and royalty rates is becoming more pronounced, and without a standard contract, stakeholders face legal uncertainty and potential disputes.
Who are the main parties involved in this licensing gap?
AI labs, publishers, wire cooperatives, and search engines are the primary stakeholders, each with different interests and incentives regarding raw-feed licensing.
What are the risks of not having a standard contract?
Risks include legal disputes, underpayment or overpayment, regulatory intervention, and a fragmented licensing ecosystem that could hinder AI development and fair compensation.
Could existing music royalty laws be adapted for AI raw-feed licensing?
While the numerical parallels exist, adapting music royalty laws would require significant legal reform and consensus among stakeholders, which is currently lacking.
Source: ThorstenMeyerAI.com