📊 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 key licensing category for raw-feed content used in AI rewriting remains undeveloped, causing a structural gap similar to early 20th-century music licensing issues. This gap impacts industry economics and legal frameworks.
There is currently no industry-standard contract for raw-feed licensing for downstream AI rewriting, a gap that has significant legal and economic implications for the AI industry.
While licensing agreements exist for training data and display rights, the third category—raw-feed licensing for downstream per-audience rewrite—lacks a formalized contractual framework. This absence stems from a structural disagreement among key industry players, including AI labs, publishers, wire cooperatives, and search engines, each preferring to maintain an advantageous position by avoiding standardized terms.
The missing contract is critical because the economic values involved are comparable to music streaming royalties, which have been governed by statutory licensing since 1909. The current collision of unit economics—costs for AI inference versus streaming royalties—exposes a fundamental misalignment in how derivative works are licensed and paid for at scale. The absence of a clear contractual scaffold hampers negotiations, complicates revenue sharing, and risks further industry fragmentation.
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
Impacts of the Missing Raw-Feed Contract Framework
This gap matters because it exposes a structural vulnerability in AI content economics, risking legal disputes, revenue leakage, and delayed industry standardization. Without a formal framework, downstream rewriting of raw feeds remains an uncertain legal territory, potentially hindering innovation and fair compensation for content creators.
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Historical and Industry Background of Licensing Gaps
Existing licensing frameworks cover training data and display rights, with several high-profile deals in place, such as agreements between OpenAI and publishers like News Corp and Reddit. However, the specific licensing for raw feeds used in downstream rewriting has not been addressed through standard contracts. Historically, similar gaps in licensing—like those faced by the music industry before statutory licensing—eventually led to regulatory intervention and industry-wide reforms. The current situation echoes the early 20th-century legal limbo, where the lack of a formal contract created a mispricing of derivative works.
The legal scaffolding that supports music royalties—such as the 1909 Copyright Act, the CRB, and the Mechanical Licensing Collective—does not yet have an equivalent for AI raw-feed licensing, leaving a significant regulatory vacuum.
“The missing contract category is the core of the current structural crisis in AI content licensing, mirroring early 20th-century music licensing issues.”
— Thorsten Meyer
raw feed licensing software
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Unresolved Legal and Industry Stalemates
It is not yet clear when or if a standard raw-feed licensing contract will be established, as negotiations among stakeholders remain stalled. The exact shape of future regulatory intervention or industry consensus is still uncertain, and ongoing disputes may delay formalization.
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Next Steps Toward Contractual Standardization
Industry stakeholders are expected to continue negotiations, possibly under statutory pressure, to develop a standardized contractual framework. Regulatory agencies or legislative bodies may step in to address the gap if voluntary agreements stall. Observers anticipate that the next major milestone will be the emergence of a formal, industry-wide contract or regulation governing raw-feed licensing for downstream AI rewriting within the next 12-24 months.
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Key Questions
Why does the lack of a raw-feed licensing contract matter?
It creates legal uncertainty, hampers revenue sharing, and risks industry disputes, similar to historical licensing crises in other media sectors.
Who are the main parties involved in this licensing gap?
AI labs, brand-strong publishers, wire cooperatives, and search engines are the key stakeholders, each with different interests and incentives.
What are the potential solutions for this licensing gap?
Possible solutions include industry consensus on a standard contract, statutory regulation, or a hybrid approach combining voluntary agreements with legal mandates.
How does this compare to music streaming licensing?
Both involve derivative works at scale, with music licensing governed by statutory frameworks since 1909, whereas AI raw-feed licensing lacks such a formal structure.
When might a standard raw-feed licensing contract be established?
Industry negotiations and potential regulatory intervention could lead to a standard within the next 12 to 24 months, but timing remains uncertain.
Source: ThorstenMeyerAI.com
