BusinessWednesday, September 2, 2026· 2 min read

U.S. Backs OpenAI’s Fair Use Argument in Major AI Copyright Case

Source: The Verge AI

TL;DR

The U.S. administration has filed a statement supporting OpenAI’s argument that training AI models on copyrighted text can qualify as fair use. If courts agree, the decision could reduce legal uncertainty for AI developers and help preserve momentum in building more capable, widely useful AI systems.

Key Takeaways

  • 1The filing supports OpenAI’s position in The New York Times’ landmark copyright lawsuit.
  • 2A favorable fair use interpretation could help clarify how AI systems can be trained responsibly at scale.
  • 3The case may influence future rules for AI development, publishing, licensing, and data access.
  • 4Clearer legal standards could encourage continued investment and innovation in AI tools.

The U.S. administration has weighed in on one of the most closely watched AI copyright cases, filing a statement of interest that supports OpenAI’s fair use argument in its lawsuit with The New York Times.

At the center of the dispute is whether training large language models on copyrighted text can be considered fair use. OpenAI has argued that model training is transformative and foundational to building AI systems that can assist people across education, business, research, and creative work.

Why this matters for AI progress

Legal clarity is one of the biggest unlocks for responsible AI development. If courts recognize training as fair use under appropriate conditions, it could give developers, researchers, and startups more confidence to build powerful AI tools while the broader ecosystem continues working through licensing and attribution models.

  • Could shape how future AI systems are trained and deployed.
  • May reduce uncertainty for companies investing in AI innovation.
  • Highlights the need to balance creator rights with technological progress.

While the lawsuit is far from resolved, the filing marks an important moment in the evolving legal framework around AI. A clearer path forward could help ensure that AI innovation continues while society develops fair, sustainable norms for content, data, and compensation.

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