CNN filed a lawsuit against Perplexity AI on May 28, 2026 [1], alleging the company unlawfully distributed copyrighted content.
This legal action highlights the growing tension between traditional media organizations and artificial intelligence firms over the use of proprietary data to train and power search tools. The outcome could set a significant precedent for how AI companies compensate publishers for content scraping.
The lawsuit was filed in the U.S. District Court for the Southern District of New York [1], [2]. CNN alleges that Perplexity infringed on its copyrights and trademarks by scraping and redistributing more than 17,000 stories without permission [3]. The network is seeking monetary damages and an injunction to stop the unauthorized distribution of its reporting [1], [3].
Perplexity AI, which has a valuation of $20 billion [3], is represented by the law firm Roth Figg Ernst & Manbeck. According to court records, this is the third complaint filed by that specific law firm against Perplexity [4].
The complaint argues that the AI search engine bypassed standard protocols to harvest news articles, effectively distributing the network's intellectual property to users without providing appropriate credit, or compensation [1], [3]. CNN said these actions violate federal copyright laws and trademark protections [1].
While Perplexity has not issued a detailed public response to this specific filing, the company has previously faced similar scrutiny regarding its data collection methods. The network's legal team said the scale of the scraping—affecting thousands of individual articles—demonstrates a systemic disregard for copyright law [3].
“CNN alleges that Perplexity is unlawfully distributing its copyrighted content.”
This litigation represents a critical escalation in the 'fair use' debate surrounding generative AI. If the court finds that Perplexity's redistribution of news articles constitutes infringement rather than transformative use, it may force AI companies to enter into formal licensing agreements with news publishers, fundamentally altering the economics of digital journalism and AI search.
