CNN Sues Perplexity AI After Licensing Talks Collapse, Escalating Publisher Copyright War
The Warner Bros.-owned network claims the AI search engine unlawfully copied thousands of articles, videos, and images to power its answer bot after a proposed content deal fell apart.
What matters
- CNN sued Perplexity AI in the Southern District of New York on May 28, alleging the AI search engine copied more than 17,000 stories, videos, and images.
- The suit includes copyright, trademark, and false-attribution claims, and marks CNN's first legal action against an AI company.
- The lawsuit follows the collapse of partnership talks in late 2025 in which CNN had negotiated to provide paywalled content to Perplexity's Comet Plus service.
- The complaint was filed by Roth Figg Ernst & Manbeck, the law firm that has now brought three similar actions against Perplexity on behalf of news publishers.
- Perplexity has countered that "you can't copyright facts," teeing up a fair-use fight that could shape how AI search engines ingest news content.
CNN Sues Perplexity AI After Licensing Talks Collapse, Escalating Publisher Copyright War
The Warner Bros.-owned network claims the AI search engine unlawfully copied thousands of articles, videos, and images to power its answer bot after a proposed content deal fell apart.
What happened
On May 28, CNN filed a lawsuit against Perplexity AI in the U.S. District Court for the Southern District of New York, alleging the AI search company violated federal copyright law by copying more than 17,000 CNN stories, videos, images, and other works to train and power its products. According to the complaint, Perplexity "unlawfully crawls, scrapes, copies, and distributes CNN's content" from both CNN's platforms and third-party sites to build an AI-first search index, then feeds that material in real time into large language models to formulate answers for users.
The lawsuit, CNN's first against an AI company, also raises trademark and false-attribution claims. CNN alleges Perplexity falsely suggested an affiliation with the news brand and, in some instances, wrongly blamed CNN for erroneous "hallucinations" generated by its tools. The suit was filed by the law firm Roth Figg Ernst & Manbeck—the third such complaint the firm has brought against Perplexity on behalf of a news publisher.
The legal action comes just months after the two parties explored a commercial partnership. In October 2025, CNN and Perplexity negotiated a deal that would have given Perplexity's Comet Plus subscribers access to CNN's paywalled content in exchange for compensation, but the agreement collapsed in November 2025. CNN is now seeking unspecified monetary damages and a court order blocking Perplexity from further unauthorized use of its intellectual property.
Perplexity spokesperson Jesse Dwyer pushed back with a concise defense: "You can't copyright facts."
Why it matters
The dispute is notable not just for the volume of alleged copying, but for the context. The failed licensing talks suggest the companies were unable to agree on terms for authorized access, reframing the lawsuit from a simple scraping allegation into a broken commercial relationship. If a court finds that Perplexity continued to ingest CNN's content after negotiations failed, it could weaken fair-use arguments that the ingestion was transformative or unavoidable.
The case also reflects a widening litigation strategy. With Roth Figg Ernst & Manbeck now representing multiple publishers against Perplexity, news outlets appear to be coordinating a legal front aimed at forcing AI search engines to pay for content rather than retrieve it for free. The inclusion of trademark and hallucination claims adds new pressure points beyond traditional copyright, potentially exposing AI firms to liability when their outputs misattribute fabricated information to established brands.
Public reaction
Discussion on Reddit's r/technology surged quickly, with the topic earning 620 upvotes and a 97 percent approval ratio across 24 comments. Many users voiced support for CNN's stance, arguing that AI companies have built their businesses on unauthorized ingestion of human-created work. Others expressed concern that upcoming legal precedents might paradoxically favor AI systems over the human creators who originally established copyright protections. A recurring theme was anxiety about the future quality of news itself, with commenters warning of a feedback loop in which AI-generated content scrapes other AI-generated content, degrading the information ecosystem.
What to watch
Observers should monitor whether the collapsed partnership becomes a focal point in discovery and motions, as emails and term sheets from those negotiations could color the court's view of Perplexity's intent. The trademark and hallucination allegations also merit attention, as they could establish separate liability even if Perplexity's fair-use defense prevails on copyright. Finally, the pattern of lawsuits filed by Roth Figg Ernst & Manbeck suggests additional publishers may join the fray, raising the stakes for how AI search engines structure their content relationships.
Sources
Public reaction
Discussion on Reddit's r/technology surged quickly, with the topic earning 620 upvotes and a 97 percent approval ratio across 24 comments. Many users voiced support for CNN's stance, arguing that AI companies have built their businesses on unauthorized ingestion of human-created work. Others expressed concern that upcoming legal precedents might paradoxically favor AI systems over the human creators who originally established copyright protections.
Signals
- Strong support for publisher lawsuits against AI scrapers
- Skepticism that AI businesses rely on unauthorized content ingestion
- Concern that legal precedents could disadvantage human creators
- Anxiety about AI-generated news degrading content ecosystems
Open questions
- Will the failed partnership negotiations undermine Perplexity's fair-use defense?
- Can trademark and hallucination claims succeed independently of copyright arguments?
What to do next
Developers
Audit crawler configurations to respect robots.txt and publisher terms of service, and log when content access shifts from licensed to unlicensed states, as post-negotiation scraping is now a focal point in litigation.
Courts are increasingly scrutinizing how AI systems ingest copyrighted material, and evidence of continued access after failed licensing talks may weaken fair-use defenses.
Founders
Secure licensing agreements with publishers before deploying retrieval-augmented generation features, as courts may view failed partnership talks as evidence that unauthorized ingestion was avoidable.
Lawsuits like CNN's signal that unauthorized scraping may become prohibitively expensive for AI startups, especially when prior negotiations demonstrate awareness of the need for a license.
PMs
Implement explicit source attribution and hallucination-monitoring dashboards to reduce trademark and misattribution exposure when AI tools reference news brands.
The lawsuit highlights trademark and hallucination risks that can erode user trust and expose products to IP claims beyond traditional copyright infringement.
Investors
Model licensing and litigation costs as material line items for AI search startups, particularly when portfolio companies have previously explored—and failed to close—publisher content deals.
Legal exposure is becoming a material risk for companies that rely on real-time news ingestion without publisher agreements, and prior negotiations may be used against defendants.
Operators
Review enterprise AI search tools to ensure they are not surfacing copyrighted news content without authorization, which may carry vicarious liability if courts reject fair-use defenses.
Enterprise use of AI search tools that scrape news content may carry indirect liability if courts rule that the ingestion and redistribution of publisher content is not fair use.
Testing notes
Caveats
- This story concerns active litigation and corporate legal strategy; there is no product, API, or feature available for hands-on testing.