Washington Sides With OpenAI in the Times' Copyright Suit

The Trump administration is backing OpenAI in the copyright case brought by The New York Times over the use of Times news articles to train chatbots; Times shares last traded at 67.68, down 0.07% on the session that closed Sept. 2, 2026.

The federal government has picked a side in the most closely watched copyright fight in artificial intelligence. The Trump administration is backing OpenAI in the case brought against it by The New York Times, a dispute over whether feeding published news articles into a machine-learning system to train chatbots is lawful use of someone else's work, according to BNN Bloomberg.

The intervention matters less for what it does to one lawsuit than for the signal it sends. Copyright cases are decided by courts, not cabinets, and the executive branch is not a party to the litigation. But when the government weighs in on the side of a defendant in a landmark technology case, it tells every judge hearing a similar claim, and every general counsel deciding whether to sue or settle, where federal policy sits.

The Question the Case Turns On

Strip away the procedural layers and the dispute is narrow. OpenAI built its systems by ingesting and processing large volumes of text, including news articles published by The New York Times. The Times says that use required permission. OpenAI's position, in essence, is that training a model on text is not the same as republishing it.

American copyright law leaves room for that argument through the fair-use doctrine, which permits unlicensed use of protected material in certain circumstances — commentary, criticism, research, or uses that transform the original into something new. Whether statistical training on millions of documents counts as transformative is the open question, and no settled answer exists. That is precisely why the administration's alignment with OpenAI carries weight: it puts the government's interpretive thumb on the scale for the transformative reading.

The economic stakes run in both directions. If training on published text is fair use, the cost of building frontier models falls, because developers do not have to negotiate for the corpus. If it is not, then every large model trained on the open web carries a liability that has never been priced, and news organizations acquire something they have lacked since the search era began: leverage.

What It Means for the Times' Licensing Economics

The Times has two ways to be paid for its archive. One is litigation. The other is licensing — selling access to its journalism to AI developers under negotiated terms, which several publishers have done rather than fight. The value of a licensing deal is not independent of the legal question. A publisher negotiating from a position where unlicensed training is presumptively infringement can charge for permission. A publisher negotiating after courts have blessed training as fair use is selling convenience, freshness and indemnity instead — real products, but priced very differently.

Federal support for OpenAI's position therefore reaches beyond the courtroom into every content-licensing negotiation in the industry. It weakens the implicit threat behind those talks. That is true for wire services, music catalogs, stock-photo libraries and book publishers as much as for one newspaper.

Markets did not treat the news as a re-rating event for the publisher. Shares of The New York Times Co. (NYT) closed the session at 67.68, off 0.07% from the prior close of 67.73, having traded between 67.17 and 68.53 during the day. The exchange and reporting currency were not specified in the market feed used here. All prices are as of the last trade at 20:00 GMT on Sept. 2, 2026, with the market closed.

A Flat Tape Around a Loud Headline

The broader session was mildly positive. The S&P 500 tracker (NYSEARCA: SPY) finished at $765.16, up 0.44% from a prior close of $761.78, inside a day range of $761.73 to $766.43. The Nasdaq 100 fund (NASDAQ: QQQ) ended at $709.24, up 0.23%, and the Dow tracker (NYSEARCA: DIA) closed at $530.62, up 0.54%.

The absence of a violent reaction in either the publisher's stock or the tech-heavy index is itself informative. Investors have watched AI copyright litigation grind on long enough to treat filings as procedure rather than resolution. Nothing about an administration's position ends a case, sets damages, or forecloses appeal. The market is pricing the timeline, not the outcome.

It is also worth noting who is not directly investable here. OpenAI is not publicly listed, so there is no ticker that moves on its litigation risk. The exposure sits indirectly — in the cloud providers, chipmakers and enterprise software firms whose growth assumptions embed the premise that models can keep being trained at scale, and in the media companies whose content is the raw material.

What to Watch From Here

Several things determine whether this becomes a turning point or a footnote.

• Whether the court adopts the reasoning. Government support is persuasive, not binding. Judges routinely decline positions urged by the executive branch, and copyright is an area where courts guard their own precedent closely.
• Whether other publishers change tactics. If the federal posture makes litigation look less attractive, expect more licensing deals struck quickly and on terms more favorable to developers.
• Whether Congress moves. The cleanest fix for a doctrine written before machine learning existed is legislation defining when training constitutes infringement. Nothing in this development suggests that has begun.
• Whether the dispute settles. Most high-stakes commercial copyright fights end in a negotiated arrangement rather than a ruling. A settlement would leave the underlying legal question exactly as unresolved as it is now, which is the outcome that serves incumbents on both sides.

The Wider Pattern

This fits a run of moves in which Washington has taken active positions on the commercial architecture of the AI industry rather than staying neutral. The through-line is a preference for domestic capability and speed of deployment over the claims of rights holders whose material has already been consumed. Whatever one makes of that trade-off, it is a policy choice with distributional consequences: it transfers value from the producers of text, images and audio to the firms that convert them into products.

For readers holding either side of that trade, the practical takeaway is patience. Copyright litigation of this magnitude moves in years. The share price on any single day, including a flat close in a modestly higher tape, tells you nothing about how a judge will read the word "transformative."

Key facts

• NYT last price: 67.68, -0.07%, as of last trade 20:00 GMT Sept. 2, 2026 (market closed)
• NYT day range: 67.17 – 68.53; prior close 67.73
• Case: The New York Times' copyright claim against OpenAI over article ingestion for chatbot training
• Benchmarks at the close: SPY $765.16 (+0.44%), QQQ $709.24 (+0.23%), DIA $530.62 (+0.54%)

Frequently asked questions

What exactly is the New York Times suing OpenAI over?

The Times' claim concerns OpenAI ingesting and processing New York Times news articles to train its chatbot systems. The core legal question is whether using copyrighted journalism as machine-learning training data requires the publisher's permission, or whether it falls within the fair-use exception in U.S. copyright law.

What does it mean that the Trump administration is backing OpenAI?

The federal government is not a party to the lawsuit, so its support is persuasive rather than binding. It signals that federal policy favors OpenAI's reading of fair use, which courts may consider but are free to reject. It also shapes the negotiating climate for content-licensing deals across the industry.

Can I invest in OpenAI directly?

No. OpenAI is not a publicly listed company, so there is no exchange ticker that reacts to its litigation risk. Investors seeking exposure to the outcome of AI copyright disputes typically look at listed cloud providers, chipmakers, enterprise software firms and the media companies whose archives are the training material.

How did New York Times shares react?

They barely moved. The stock closed at 67.68, down 0.07% from a prior close of 67.73, with a day range of 67.17 to 68.53, as of the last trade at 20:00 GMT on Sept. 2, 2026. The exchange and reporting currency were not specified in the market data used for this article.

What is the fair-use doctrine?

Fair use is a provision of U.S. copyright law permitting limited unlicensed use of protected work for purposes such as commentary, criticism, teaching and research, or where the new use transforms the original into something different. Whether training an AI model on text qualifies as transformative has not been definitively settled by the courts.

Why does the ruling matter for publishers beyond the Times?

Because it sets the baseline for every content-licensing negotiation. If unlicensed training is infringement, publishers can charge for permission. If it is fair use, they are selling convenience, data freshness and legal indemnity instead — still commercial products, but worth considerably less in a negotiation.

Sources

• Trump administration backs OpenAI in New York Times' copyright case over training of chatbots — BNN Bloomberg

Photo: Beyzanur K. · Pexels Licence — source