A group of YouTube creators is suing Amazon, accusing the tech giant of secretly scraping their videos to train its AI video model without permission.
The proposed class action lawsuit, filed in federal court in Seattle, alleges Amazon used automated tools to download and extract data from millions of YouTube videos to build and improve its Nova Reel generative AI system — a model that can create short videos from text prompts and images.
At the center of the complaint is how that data was obtained. The plaintiffs claim that Amazon bypassed YouTube’s protections using virtual machines and rotating IP addresses to avoid detection, effectively sidestepping the platform’s safeguards against bulk downloading.
The lawsuit was brought by several creators, including Ted Entertainment (the company behind the H3 Podcast and h3h3 Productions), as well as individual YouTubers and channel operators. They argue that the alleged scraping violated copyright law and the Digital Millennium Copyright Act, and are seeking damages as well as an injunction to stop the practice.
Amazon did not respond to a request for comment.
The case lands at a pivotal moment for generative AI, as courts weigh whether training on copyrighted material qualifies as fair use and how much control creators retain once their work is used to build these systems. The disputes have often centered on written material, which has been at the center of the AI revolution for several years, while AI video generators such as OpenAI’s Sora and Google’s Veo have emerged more recently.
The lawsuit is one of dozens testing the boundaries of AI training practices, alongside high-profile cases from authors, artists and news organizations, including lawsuits against OpenAI and Meta, all circling the same unresolved question: Where does fair use end and infringement begin?
