The U.S. Department of Justice has officially sided with OpenAI in the New York Times copyright lawsuit, arguing that training artificial intelligence models on copyrighted material constitutes fair use and should not be restricted. On September 2, 2026, the DOJ filed a Statement of Interest in the case, signaling the current administration's strong support for AI companies over publishers and content creators.

What Did the DOJ Actually Argue?

The DOJ's statement makes a bold claim: that using copyrighted works to train AI models does not violate copyright law because the use is "transformative." This legal doctrine, known as fair use, allows limited use of copyrighted material without permission under certain circumstances. The DOJ warned that "an erroneous fair use ruling would hamper competition" among AI companies, framing the issue as one of economic competitiveness rather than intellectual property rights.

The statement represents a dramatic escalation of government involvement in copyright disputes. According to legal experts, Statements of Interest from the federal government are typically filed between 5 and 20 times per year, usually in antitrust or civil rights cases. This administration has significantly increased both the frequency and scope of such filings, using them as a tool to influence court outcomes aligned with its political priorities.

Why Are Content Creators and Publishers So Angry?

The DOJ's position directly contradicts the stance of the Register of Copyrights, the nation's top copyright official. In its filing, the DOJ dismisses her perspective with unusually harsh language, describing her reasoning as "threadbare" and suggesting her "understanding does not warrant deference." This condescending tone has raised eyebrows among legal observers who question whether such rhetoric will persuade judges.

Publishers and content creators argue that the DOJ's logic is fundamentally flawed. The government claims that licensing costs would create an "oligopoly" preventing smaller AI companies from competing, but critics point out that the real barriers to entry are data centers, electricity, and high-performance computer chips, not copyright licensing fees. One particularly controversial DOJ argument suggested that American AI companies should be allowed to use copyrighted material because foreign competitors "don't respect US intellectual property law," a position one legal expert compared to saying "others are stealing your work, so you should let us steal too".

How Does This Connect to Broader Government Actions on Copyright?

The DOJ filing is part of a larger pattern of administration efforts to weaken copyright protections. In 2015, there was an attempt to pull the Copyright Office out of the Library of Congress and establish it as an independent agency. That effort has recently gained new momentum, raising concerns about regulatory capture by technology industry interests. When the White House removed Librarian of Congress Carla Hayden and attempted to remove Shira Perlmutter in May 2025, the Association of American Publishers CEO Maria A. Pallante questioned whether these moves were connected to the Copyright Office's critical AI report.

The administration's own National Policy Framework on Artificial Intelligence acknowledged that arguments against using copyrighted material for AI training exist, yet it called for courts to resolve the issue without government interference. The DOJ's Statement of Interest directly contradicts this hands-off approach by aggressively advocating for one side.

What Could Happen If AI Training Is Deemed Fair Use?

Legal experts are considering the long-term implications of a fair use ruling in favor of AI companies. The consequences could reshape how content is distributed and protected online:

• Licensing Walls: Authors and publishers may rush to place their works behind paywalls and restrictive licensing agreements rather than allowing free public access, fundamentally changing how information is shared.
• Creative Commons Restrictions: Even open-access licenses like Creative Commons, which currently allow free reading, could be modified to explicitly prohibit machine learning and AI training, adding new layers of restrictions.
• Contract-Based Protection: Content creators may increasingly rely on licensing contracts rather than copyright law to protect their work, shifting disputes from copyright courts to contract law disputes.

The European Union has already begun addressing this issue through its Digital Single Market Directive, which includes a Text and Data Mining exception that allows creators to reserve their works from AI training. The EU AI Act further reinforces these protections. Without similar reservations in U.S. law, experts expect American content creators to increasingly use licensing agreements as their primary defense mechanism.

What Unresolved Questions Remain About AI Ownership?

Beyond the training data question, significant legal ambiguities persist about who actually owns AI models and the work they produce. Many organizations have signed AI vendor agreements without asking fundamental questions about intellectual property ownership, use rights, and protection of AI-generated content. These gaps in legal clarity create substantial risks for companies relying on AI tools without understanding the contractual implications.

The case is far from settled. The New York Times lawsuit against OpenAI and Microsoft continues in the Southern District of New York, and legal observers expect the dispute to eventually reach the Supreme Court. Given the pace of technological change, the extended timeline of litigation may actually favor AI companies, allowing them to avoid costly settlements for years while the legal system slowly catches up to the technology.

The outcome of this case will have profound implications for how AI companies can access training data, how content creators can protect their work, and whether the U.S. copyright system can adapt to artificial intelligence. For now, the DOJ's aggressive intervention signals that the federal government views AI development as a strategic priority, even if that means challenging the intellectual property rights of publishers, musicians, and artists.