Why a functioning licensing market matters in AI fair use cases

What does market harm have to do with AI licensing?

Under US fair use analysis, courts weigh the effect of a use on the potential market for the original work, and an existing market for licensing training data is part of what they look at. That is why a working licensing market matters: where buyers can license material, copying it without permission looks less like a neutral use and more like a substitute for a sale. This is general information, not legal, tax or financial advice.

For an M&A advisor the point is practical. When a client asks "why would anyone pay for our records if AI developers can just scrape them?", the market-harm factor is one reason serious buyers prefer permissioned, documented licenses. It is not a prediction about any lawsuit, and nobody can promise how a court will rule.

What the fourth factor actually asks

The fair use statute lists four factors. The fourth looks at the effect of the use on the potential market for, or value of, the copyrighted work. No single factor decides the question alone, and courts weigh all four together on the facts of each case.

The US Copyright Office's AI initiative page hosts its multi-part report. Part 3 covers generative AI training: where copying in training may implicate copyright, how fair use may apply, and how practical licensing approaches are. It was released as a pre-publication version in May 2025, so treat it as the Office's analysis, not as law. Read the report itself before quoting any conclusion from it.

Three questions sit under the fourth factor in practice:

1. Does the use substitute for the original or its licensed uses?
2. Is there an established or reasonably likely market for licensing this kind of material for this kind of use?
3. Would widespread copying of this kind undermine that market?

The Thomson Reuters v. Ross explainer walks through how one court handled these questions on its own facts.

Why a licensing market changes the conversation with clients

A visible market turns "can they take it?" into "what is it worth, and on what terms?". The more transactions exist, the harder it is to argue that no market exists for the material. For an owner, that supports negotiating a price instead of assuming the data is free for the taking.

The enterprise data licensing deals guide shows what these transactions look like beyond media headlines.

Where this applies and where it does not

The market-harm factor belongs to copyright analysis, so it matters most for material that is copyrightable and owned by the company. Many business records are a mix: copyrightable documents sit beside facts, customer personal data and third-party content, each with its own rules.

Fair use is decided case by case and varies by court. Treat any statement that "training is fair use" or "training is infringement" as a claim about particular facts, not a rule for every dataset.

Calendar moments when an advisor can raise it

How to use this in a client conversation

Keep it short and avoid legal conclusions. A client who wants the law can ask their own counsel.

Pair it with three screening questions: did the company create the records, do client contracts and policies allow licensing, and can someone export them? The company fit checker runs a preliminary, non-binding version of that screen with no contact details required.

What this means for a referral partner

You do not need to argue fair use. You introduce a company, SourceX qualifies it, and rights review happens with the company before any buyer sees an offer. The AI data licensing myths page is a good handout for clients who have heard that AI developers simply take what they need, and why deal terms stay confidential explains why you will not see price comparisons.

Partners earn 25% of the eligible platform fees SourceX actually collects from the referred company's licensing deals, capped at $100,000 per referred company. The reward is paid only after the buyer pays and SourceX receives its fee; a lead, meeting or signed agreement alone does not trigger payment, and no reward is guaranteed. If you are a registered representative or a licensed professional, check your own rules on referral fees and disclosure first, and read the program terms.

Questions to put to counsel

• Which data in this company is copyrightable and company-owned, and which is not?
• Do customer contracts or privacy notices restrict licensing for AI training?
• Does the planned exclusivity and term fit any pending sale or financing?
• What should the agreement say about publicity, audit and warranties of ownership?

Confirm with your own counsel, tax adviser or professional body before acting.

Next step

Pick one client whose records go back several years and run the three screening questions. If the company looks eligible, register as a partner and make the introduction, or review how the referral process works first. Companies can also apply directly at sourcex.si/apply with your referral link.