📊 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
A critical licensing gap exists for raw-feed licensing used in AI downstream rewriting, with no standard contract in place. This gap parallels historic issues in music licensing and has significant economic and legal implications.
There is currently no industry-standard contract for raw-feed licensing used in downstream AI rewriting, despite the economic and legal importance of such licensing. This gap is creating a structural mismatch in the emerging post-wire era, with significant implications for AI labs, publishers, wire cooperatives, and search engines.
Training-data licensing and display licensing are well-established and contractually regulated, with deals such as OpenAI’s archive license and News Corp’s brand licensing in place. However, the third category—raw-feed licensing for downstream rewriting—lacks a formal, industry-standard contract. This absence stems from a structural misalignment: the unit economics of AI rewriting (cost per inference) are similar to music streaming royalties, which have a long-standing statutory framework dating back to 1909.
Experts, including Thorsten Meyer, note that this missing contract category is critical for defining pricing, attribution, derivative scope, and audit rights in AI content use. The absence of a clear legal scaffold hinders fair compensation and accountability, risking further economic distortions and legal disputes among the involved parties.
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 Contract Gap for AI and Media Industries
The lack of a formal raw-feed licensing contract creates a significant legal and economic vacuum, potentially leading to disputes over fair compensation, attribution, and scope of use. This gap risks undermining trust and stability in AI content ecosystems, similar to historic issues faced by the music industry before statutory licensing frameworks were established. Resolving this gap is essential for establishing fair, predictable licensing practices that support sustainable AI development and media rights management.
Japanese Law Form Template 120/A collection of civil trust contract example formats made by lawyers strong in trust
Introduce an example contract with five effects
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Historical and Industry Context of Licensing Gaps
While licensing for training data and display rights has been formalized through industry deals, the emerging post-wire era exposes a missing third category—raw-feed licensing for downstream rewriting. Historically, similar gaps in licensing frameworks have led to legal disputes and regulatory intervention, as seen in the early 20th-century music industry following White-Smith v. Apollo and subsequent legislative reforms. Currently, the unit economics of AI rewriting closely resemble those of music streaming royalties, which are governed by a complex statutory framework established over a century ago.
Experts like Thorsten Meyer argue that the missing contract is a structural issue rooted in the different interests of AI labs, publishers, wire cooperatives, and search engines, each preferring to maintain the status quo to avoid pricing the gap. The current situation echoes the pre-legislation period in music, where the absence of a clear legal framework led to protracted conflicts and eventual statutory regulation.
“The missing raw-feed licensing contract is a structural gap that echoes the early 20th-century music licensing issues. Without it, fair compensation and attribution remain unresolved.”
— Thorsten Meyer
raw feed licensing agreements
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Unresolved Legal and Economic Challenges
It is not yet clear how the missing contract will be formulated, who will lead its development, or how industry stakeholders will resolve disagreements. The specific shape of the eventual legal framework remains uncertain, as does the timeline for its adoption.
AI content licensing software
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Next Steps Toward Establishing a Raw-Feed License Framework
Key industry groups, regulators, and legal experts are expected to convene discussions to draft a standardized contract. The process will likely involve balancing the interests of AI labs, publishers, and platforms, with potential influence from statutory reforms similar to those in music licensing. The next milestones include formal proposals, stakeholder negotiations, and possibly regulatory intervention to formalize the framework within the next 1-2 years.
Intellectual Property Protect: Business-Aligned IP Strategy
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Key Questions
Why does the raw-feed licensing contract matter now?
As AI rewriting becomes more prevalent, the absence of a formal licensing framework creates legal uncertainty, potential disputes, and unfair compensation issues, risking the stability of AI and media ecosystems.
What are the main obstacles to creating this contract?
Parties involved have conflicting interests: AI labs want predictable, low-cost access; publishers seek fair attribution and payment; platforms prefer to avoid regulatory constraints. These disagreements hinder contract development.
How is this situation similar to historical licensing issues?
It mirrors early 20th-century music licensing challenges before statutory frameworks were established, where legal gaps led to disputes and eventual regulation.
Who is likely to lead the development of this contract?
Stakeholders such as industry consortia, regulatory bodies, or major industry players could spearhead the effort, but no clear leader has emerged yet.
When might we see a formal raw-feed licensing framework?
Experts suggest that within 1-2 years, formal proposals and negotiations could lead to a regulatory or industry consensus on the contract’s structure.
Source: ThorstenMeyerAI.com
