US Government Supports OpenAI in AI Copyright Fair Use Dispute
In a significant legal development, the Trump administration has filed a 20-page brief supporting OpenAI in its copyright dispute with The New York Times. The case centers on AI copyright fair use and whether AI companies can legally train large language models (LLMs) on copyrighted material without obtaining permission from rights holders.
The administration’s brief argues that constraining LLM development would hinder American prosperity and economic mobility. “The United States has a strong interest in continuing to develop a robust and competitive artificial intelligence industry that sets the standard for the practice and procedure of AI use globally,” the brief states, referencing a 2025 executive order. The government’s position makes clear that AI copyright fair use protections are critical for maintaining U.S. leadership in this transformative technology.
Understanding the Core Legal Question
The central issue in this case involves AI copyright fair use and whether training AI models on published works qualifies as transformative use under copyright law. The LLMs powering chatbots like ChatGPT, Claude, and Gemini are trained on massive databases of published works, including copyrighted books, articles, and other media that AI companies feed into these systems.
Many publishers, including The New York Times, argue that it is illegal for AI companies to train their models on copyrighted material without permission. However, AI companies maintain that their use of this content falls within the boundaries of AI copyright fair use exceptions. This question isn’t black and white, which explains the extensive legal debate surrounding the subject.
What Makes AI Training Transformative?
The fair use debate addresses whether AI companies’ use of copyrighted work is “transformative” enough for a judge to rule it legal. Under copyright law, transformative use occurs when new work adds something new, with a further purpose or different character, altering the original with new expression, meaning, or message.
In this context, AI companies argue that training LLMs on copyrighted material is transformative because the models do not reproduce or replace the original works. Instead, they analyze patterns, language structures, and information to generate new content that serves a fundamentally different purpose from the original publications.
“Constraining LLM development under a misunderstanding of fair use doctrine would thwart such creative and scientific progress while hindering American prosperity and economic mobility,” the Trump administration brief says. This statement reflects the government’s view that AI copyright fair use protections should be interpreted broadly to encourage innovation.
Recent Legal Precedents Favor AI Companies
So far, copyright infringement cases against AI companies have largely favored the technology industry. The courts have generally been reluctant to impose broad restrictions on AI training methods.
Last year, Judge William Alsup ordered Anthropic to pay a $1.5 billion copyright settlement to a group of writers whose works were used to train the company’s AI models. However, the ruling didn’t deem Anthropic’s AI training itself illegal. Instead, the company was penalized for using illegal shadow libraries to pirate the books it used for training, distinguishing between the training method and the underlying copyright question.
“Like any reader aspiring to be a writer, Anthropic’s LLMs trained upon works not to race ahead and replicate or supplant them—but to turn a hard corner and create something different,” Judge Alsup wrote, comparing LLM training to human reading. This comparison is particularly relevant to the AI copyright fair use debate, as it suggests that AI learning from existing works parallels how humans learn from reading.
The Distinction Between Training and Piracy
This distinction is crucial for understanding AI copyright fair use jurisprudence. The court recognized that training AI on copyrighted material might be permissible, even if the specific means of obtaining that material through shadow libraries was not. This precedent could influence how courts approach similar cases moving forward.
For AI companies, this distinction provides a legal roadmap: use legitimate sources for training data, and courts may be more sympathetic to AI copyright fair use arguments. For publishers, it highlights the importance of protecting their content’s availability and ensuring proper compensation when their works are used.
What This Administration Brief Means for the Case
While the Trump administration’s brief is not a binding ruling, its intervention could carry significant weight in the ongoing litigation. The case is being tried in the U.S. District Court for the Southern District of New York, and the brief’s authors do not have direct jurisdiction over the proceedings.
However, the administration’s position signals federal support for AI companies in copyright disputes, potentially influencing judicial interpretation of fair use doctrine in the context of AI training. This aligns with the administration’s stated goal of maintaining U.S. leadership in artificial intelligence development and sets a tone that AI copyright fair use should be protected.
Implications for Publishers
For publishers like The New York Times, the administration’s stance creates an additional hurdle in their efforts to protect copyrighted content from AI training. The case represents a broader struggle between content creators seeking compensation and AI companies building models on publicly available information.
Publishers argue that allowing AI copyright fair use to cover commercial AI training devalues their content and undermines their business models. They contend that if AI companies can freely use copyrighted material, it reduces incentives for content creation and threatens the viability of journalism and publishing.
Implications for AI Companies
For AI companies, the brief offers welcome validation of their position that training on copyrighted material falls within AI copyright fair use protections. This could strengthen their negotiating position with publishers and potentially reduce licensing costs.
The administration’s support could also encourage AI companies to continue developing their models without fear of retrospective copyright liability. This could accelerate innovation in the U.S. AI sector and maintain American technological leadership.
The Future of AI Copyright Fair Use
The outcome of this case could establish important precedents for how copyright law applies to AI training. As technology continues to evolve, courts will need to balance the interests of content creators with the need for continued innovation in the AI industry.
The Trump administration’s brief emphasizes that “constraining LLM development under a misunderstanding of fair use doctrine would thwart creative and scientific progress while hindering American prosperity and economic mobility.” This framing positions the copyright debate as not just a legal matter, but one with significant economic implications for American competitiveness.
For now, the legal community and technology industry await the court’s decision, which could provide clarity on whether AI companies must secure permission before training their models on copyrighted works. The AI copyright fair use doctrine will likely continue to evolve as more cases reach the courts, shaping the relationship between AI development and intellectual property law for years to come.
