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USA TODAY Sues OpenAI Over Copyrighted News Content in AI Training

By Freedom251 Team · · 4 min read

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USA Today Co. and affiliated regional and local news publishers filed a copyright lawsuit against OpenAI on October 8, 2026, in the U.S. District Court for the Southern District of New York. The publishers allege that OpenAI used hundreds of thousands of their articles without authorization to train GPT models, and that chatbot outputs repackage their journalism in ways that can substitute for the original reporting. They reportedly seek more than $250 million. The case is new, and no court has ruled on its merits.

The case at a glance

Item Reported detail Attribution
Filed October 8, 2026 Same-day coverage and docket reference
Court U.S. District Court for the Southern District of New York Same-day docket reference
Caption and number USA Today Co., Inc. v. OpenAI Foundation, No. 1:26-cv-08892 Same-day docket reference
Plaintiffs USA Today Co. and affiliated regional and local news publishers Filing coverage
Publications 19, including Indy Star, The Arizona Republic and Detroit Free Press Bloomberg Law’s account of the complaint, 2026
Alleged article use Hundreds of thousands of articles, used without authorization Allegation as reported by Unite.AI, 2026; not an independently verified count
Relief reportedly sought More than $250 million in damages Requested amount as reported by Unite.AI, 2026; not an award
Status New action; no ruling on the merits reported Coverage as of October 9, 2026

The complaint and its exhibits are not quoted in the coverage available so far, so this article does not describe particular articles, pleaded legal counts or the injunctive relief requested. A same-day docket reference reportedly lists exhibits including copyright registrations and chatbot output examples, one set attributed to GPT-5.6. Those exhibit descriptions come from docket reporting, not from an independent review of the exhibits.

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Why is USA TODAY suing OpenAI?

The publishers say they own copyrights in content from 19 publications. Their complaint rests on two allegations. The first is that OpenAI copied the articles without authorization, at a reported scale of hundreds of thousands, to train GPT models. The second is that OpenAI repackaged that journalism in chatbot outputs that can substitute for the original reporting. The second claim concerns what users receive from the chatbot, not only how the models were built, and it is the part of the case most directly about the publishers’ readership and reporting.

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Did OpenAI use USA TODAY articles to train its models?

The publishers allege that it did, without permission. OpenAI’s response to this specific complaint is not established in the reporting available so far.

OpenAI’s general public position comes from a different case. On its public page about the separate New York Times lawsuit, OpenAI says its models are trained on publicly available information and that its approach is grounded in fair use. The company also points to publisher partnerships and to controls that let organizations state their crawler preferences. That page responds to the New York Times complaint, not to the USA TODAY filing, and nothing in the reporting indicates that the USA TODAY plaintiffs accepted those arrangements.

How much is USA TODAY seeking?

The publishers reportedly seek more than $250 million, according to Unite.AI’s 2026 report on the complaint. That is the amount requested. No award has been made. A damages figure in a complaint is the plaintiff’s opening demand, and it can change as the case proceeds.

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Is training AI on copyrighted news fair use?

That question is unsettled and turns on the facts. Under U.S. copyright law, fair use is judged case by case by weighing four nonexclusive factors. Neither “AI training is always fair use” nor “AI training is always infringement” is the settled rule. The table below shows how the parties frame each factor in the broader OpenAI copyright litigation, which is separate from the new filing.

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Fair use factor Positions in the broader litigation
Purpose and character of the use, including commerciality and transformation Publishers and authors argue that unauthorized copying for model development is not fair use. OpenAI and Microsoft argue that training is transformative, extracts statistical patterns rather than offering the original works as substitutes, and that claimed market harms are speculative or legally irrelevant.
Nature of the copyrighted work Not stated in the reporting available on this filing.
Amount and substantiality of the portion used The complaint alleges use of hundreds of thousands of articles. The reporting does not state OpenAI’s position on this factor for the new action.
Effect on the potential market or value of the work Publishers argue that unauthorized copying and substitute outputs harm existing or potential markets. OpenAI and Microsoft argue that the claimed harms are speculative or legally irrelevant.

Two further questions run through the litigation and are disputed:

  • How the works were sourced, acquired and copied into datasets, and whether that affects the analysis.
  • Whether model outputs substitute for articles or for licensed uses, and what evidence would show actual or potential market harm.

Where the case stands

  • The new action was filed on October 8, 2026. No ruling on it has been reported as of October 9, 2026.
  • The available material does not confirm whether this action has been consolidated with, or related to, the broader OpenAI copyright multidistrict litigation (MDL).
  • In the MDL, competing summary-judgment motions were filed on September 4, 2026. A court-case tracker updated in October reported that the court was considering whether claims or defenses could be decided without trial.
  • Judge Sidney Stein set October 16, 2026 as the deadline for motions seeking leave to file amicus briefs in connection with those summary-judgment motions. That deadline applies to the MDL, not to the new complaint.

What to watch next

  • OpenAI’s formal response to the new complaint, which the reporting does not yet describe.
  • Any order consolidating or relating the new action to the MDL, which would determine which judge and which schedule govern it.
  • Rulings on the MDL summary-judgment motions, which would show how a court weighs the transformation and market-harm arguments described above.

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AI trainingcopyright lawsuitfair useGPT modelsnews publishersOpenAIUSA TODAY

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