Stock Markets March 11, 2026

Gracenote sues OpenAI, says ChatGPT was trained on proprietary media metadata

Nielsen unit seeks damages and injunction after alleging unauthorized use of identifiers and descriptions for TV shows and films

By Maya Rios
Gracenote sues OpenAI, says ChatGPT was trained on proprietary media metadata

Gracenote, the Nielsen-owned metadata provider that catalogs and describes movies and television, filed a federal lawsuit in Manhattan against OpenAI alleging the company used Gracenote’s copyrighted metadata to train ChatGPT without permission. The complaint says ChatGPT can reproduce Gracenote’s content descriptions and identifiers for major television programs, and Gracenote is seeking monetary damages and a court order to stop OpenAI’s use of its data. OpenAI said its models are trained on publicly available data and rely on fair use.

Key Points

  • Gracenote filed a federal lawsuit in Manhattan alleging OpenAI used its copyrighted metadata without permission to train ChatGPT.
  • The complaint alleges ChatGPT can reproduce Gracenote’s identifiers and descriptions for shows such as "Breaking Bad," "Game of Thrones," "The Office" and "Saturday Night Live," and seeks monetary damages plus an injunction.
  • Gracenote licenses metadata to media distributors and to other AI providers for training; the company claims OpenAI’s use threatens those licensing markets.

Gracenote, the metadata business owned by Nielsen that compiles identifiers and descriptive information for films, television programs and other media, filed suit against OpenAI on Tuesday in federal court in Manhattan, alleging its copyrighted material was used without authorization to train artificial intelligence.

The complaint asserts that proprietary Gracenote content - including program identifiers and descriptive write-ups - was incorporated into the training of ChatGPT and that the AI model can be prompted to reproduce Gracenote’s descriptions and identifiers. The lawsuit cites examples in which ChatGPT produced copies of Gracenote’s metadata for well-known television shows, including "Breaking Bad," "Game of Thrones," "The Office" and "Saturday Night Live." Gracenote says those examples indicate OpenAI relied on its material during model training.

Gracenote requested an unspecified amount in monetary damages and asked the court to issue an order preventing OpenAI from using its data going forward. The complaint notes that Gracenote historically licenses its metadata to media distributors and also provides licensing to other AI providers for training purposes. The company alleges that OpenAI’s unlicensed use threatens to undercut both of those markets.

In describing the company’s work, the complaint highlights Gracenote’s editorial effort and staff. It says Gracenote employs more than 1,000 editors who "painstakingly source, ingest, aggregate, research, edit, write, curate, and link content" to build its database of shows and movies.

Gracenote’s chief executive Jared Grusd said in a statement that OpenAI "chose to use decades of our proprietary work without permission to build and sell its models." The company framed the lawsuit as a response to the commercial use of that work without a licensing arrangement.

An OpenAI spokesperson responded by saying the company’s AI models "empower innovation, and are trained on publicly available data and grounded in fair use." The statement represents OpenAI’s public defense of its training practices, as cited in the complaint.

The complaint also emphasizes Gracenote’s commercial model of licensing metadata to downstream distributors and to AI providers for training, and it argues that OpenAI’s conduct risks disrupting those established licensing markets. Beyond the requested damages and injunction, the filing seeks judicial relief aimed at preventing what Gracenote describes as further unauthorized use of its copyrighted material.


Contextual note: The lawsuit centers on whether Gracenote’s copyrighted metadata was used without consent to train a commercial AI product and on the potential market effects of that use.

Risks

  • Legal uncertainty over the use of proprietary metadata in AI training could affect companies that license media metadata and AI firms relying on similar data - impacting media distribution and AI development sectors.
  • If courts limit or bar unauthorized use of licensed metadata, AI developers may face increased costs or constraints when sourcing training material, which could slow product development or alter business models.
  • Potential market disruption for metadata licensors and downstream distributors if unlicensed use by large AI firms undercuts established licensing revenues.

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