📊 Full opportunity report: Raw-feed licensing. The contract that doesn’t exist yet. on ThorstenMeyerAI.com — validation score, market gap, and execution plan.

There is currently no industry-standard contract for raw-feed licensing for downstream AI rewriting, despite the existence of licensing agreements for training data and display rights. This gap is creating a structural conflict in the AI ecosystem, with significant legal and economic implications.

In 2026, the AI industry operates under a three-category licensing framework: training-data licensing, display licensing, and raw-feed licensing for downstream rewriting. While the first two categories are well-established with recognized contracts and pricing models, the third remains undefined. The missing contract is critical because the unit economics of AI rewriting—costs per rewrite estimated between $0.005 and $0.02—closely mirror the economics of music streaming royalties, which have been governed by statutory licensing since 1909.

Sources such as Thorsten Meyer highlight that the absence of a formal contract for raw-feed licensing stems from a structural reluctance among industry players—AI labs, publishers, wire cooperatives, and search engines—to establish a fair and comprehensive licensing framework. This reluctance persists despite the clear economic signals and the need for statutory regulation, similar to historical precedents in copyright law, notably the 1909 Copyright Act and subsequent legislative updates.

The lack of a formal contract leads to a mispricing of derivative work, potential legal disputes, and an uneven playing field. Industry insiders suggest that the gap resembles the legal limbo faced by music rights before statutory licensing was established, with the key challenge being how to set fair, scalable, and enforceable terms for downstream use of raw feeds.

Implications of the Contract Gap for AI and Copyright Law

This missing contract threatens to create legal uncertainty and economic inefficiencies in the AI industry. Without clear licensing terms, disputes over attribution, derivative work rights, and revenue sharing are likely to increase, potentially leading to litigation or regulatory intervention. Establishing a standardized framework is essential for sustainable growth, fair compensation, and legal clarity, mirroring the historical evolution of music licensing and copyright law.

Historical and Industry Context of Raw-feed Licensing

Currently, the AI industry operates with established licensing for training data and display rights, which are contracted at industry-recognized rates. However, the third category—raw-feed licensing for downstream rewriting—lacks a formal, standardized contract. Historically, copyright law has evolved from the 1909 Act through various legislative and regulatory updates, culminating in the current statutory licensing system for music, which has paid out over $3 billion since 2021. The gap in AI licensing reflects a similar moment of legal and economic transition, where the industry must develop new contractual frameworks to address derivative works at scale.

Industry negotiations are ongoing, with some companies advocating for a per-rewrite royalty similar to music streaming rates, while others prefer flat fees or revenue sharing models. The absence of a consensus has delayed the development of a formal contract, leaving the industry vulnerable to legal disputes and regulatory scrutiny.

“The missing contract category for raw-feed licensing is a structural gap that echoes the early 20th-century copyright struggles, and its resolution is critical for the industry’s future.”

— Thorsten Meyer

Unresolved Issues in Developing Raw-feed Licensing Contracts

It remains unclear what specific contractual form will ultimately be adopted—whether a per-rewrite royalty, flat fee, revenue share, or statutory licensing—and how industry stakeholders will reconcile differing interests. The timing for the development and adoption of such a contract is also uncertain, as negotiations continue and regulatory pressures mount. Additionally, the legal precedent for this specific type of licensing is still being established, making future developments unpredictable.

Next Steps Toward Formalizing Raw-feed Licensing Agreements

Industry stakeholders are expected to continue negotiations over the next 12-18 months, with regulatory bodies potentially stepping in to facilitate or mandate a licensing framework. Legal scholars and policymakers are closely monitoring the situation, considering whether statutory licensing mechanisms similar to those in music will be adapted for AI. The development of pilot contracts or industry standards may serve as catalysts for broader adoption, but significant disagreements remain.

Key Questions

Why does the industry lack a standard contract for raw-feed licensing?

Because industry stakeholders—AI labs, publishers, wire cooperatives, and search engines—prefer to maintain control over the licensing terms that favor their interests, and no consensus has been reached on the appropriate pricing and rights structure. Historically, this gap resembles early copyright disputes before statutory licensing was established.

What are the main options being considered for the missing contract?

Options include a per-rewrite royalty similar to music streaming rates, flat fees, revenue-sharing arrangements, or statutory compulsory licensing. The industry has yet to agree on which model best balances economic fairness and legal enforceability.

How could the lack of a contract impact AI development?

Without clear licensing terms, companies may face legal disputes, uncertain costs, and potential regulatory intervention, which could slow innovation and create barriers to scaling AI applications.

Is there any precedent for resolving this licensing gap?

The closest precedent is the evolution of music licensing, which transitioned from legal disputes to a statutory framework regulated by the Copyright Royalty Board. Similar processes may be needed for AI raw-feed licensing.

When might a formal contract or regulation be established?

Industry negotiations and potential regulatory actions are expected over the next 12-18 months, but a definitive legal framework could take several years to formalize.

Source: ThorstenMeyerAI.com