OpenAI published “Fair use benefits everyone” on October 30, 2026 in connection with the New York Times copyright lawsuit. The company presents excerpts and summaries from briefs filed by creators, academics, accessibility organizations, libraries, technology groups and others that support applying fair use to AI training. This is advocacy in active litigation, not a final court ruling.
The post combines OpenAI’s position with outside legal arguments
OpenAI argues that training uses works for a different purpose, does not substitute public access to the original articles and supports scientific, accessibility and creative tools. The page also identifies briefs discussing transformative use, market harm, competition and public benefit. Those submissions are part of the record, but filing a brief does not make its legal or factual claims judicial findings.
Readers should distinguish the litigants, amici and the court. OpenAI is a defendant and has a direct interest in the result. An amicus participant offers a perspective to assist the court but is not a neutral auditor of a model’s training data or product output.
Related sources: OpenAI: Fair use benefits everyone ↗
The central legal questions remain unresolved in this case
The Times seeks a narrower application of fair use to large-language-model training, while OpenAI characterizes training as transformative and non-substitutive. The October 30 page does not announce summary judgment, trial findings, damages or a settlement. A persuasive brief can influence the analysis without determining the outcome.
Copyright decisions are fact-specific and jurisdiction-specific. Canadian fair dealing is not identical to US fair use, so Canadian publishers and developers should not treat an American party’s argument as a Canadian legal rule. Organizations making licensing or training decisions need advice suited to their facts and governing law.
Related sources: OpenAI: Fair use benefits everyone ↗ · US Courts: understanding the federal court process ↗
Public benefit and creator impact both need evidence
The cited briefs describe benefits for research, accessibility, libraries, startups and independent creators. Those accounts help explain the stakes, but they do not resolve disputed questions about copying, licensing markets, output similarity or the economic effect on publishers. A careful report should allow those questions to remain contested.
Useful future evidence would include the court’s treatment of each fair-use factor, any findings about specific training copies or outputs, and the remedies attached to a final decision. Until then, “supporters argue” is more accurate than saying the court has approved the practice.
Related sources: OpenAI: Fair use benefits everyone ↗
What Canadian readers and publishers should watch
Watch the public docket and primary decisions rather than summaries from either party. A ruling may address only particular claims, works, models or stages of the case. Appeals can also change the result. Dates and procedural posture belong in any update.
Website operators should separately review crawler preferences, contracts and access controls. A robots directive can communicate a machine preference, but it does not itself decide copyright ownership, licence terms or the legality of training. Product users should also avoid assuming that a provider’s fair-use position grants them rights to reproduce source material in outputs.
Sources and editorial method
We use the linked original statements and reports to distinguish documented facts from our analysis. Company announcements describe their authors’ plans and claims; they are not independent verification of future outcomes. This article is dated and will be revised if material evidence changes. Read our editorial standards and corrections process.
- OpenAI: Fair use benefits everyone ↗ — OpenAI’s October 30 advocacy summary and links to supporting briefs.
- US Courts: understanding the federal court process ↗ — Official background on the judiciary’s role; included to distinguish party submissions from court decisions.
