CNN filed a copyright lawsuit against Perplexity on May 28, 2026, in the Southern District of New York, marking the first time a television network has taken legal action against an artificial intelligence company over content use. The suit alleges that the AI search engine scraped more than 17,000 pieces of CNN’s content without authorization and incorporated them into its own products. The case represents a significant escalation in the publishing industry’s legal battle with AI firms, extending a fight that began with print media into the broadcast and video domain.
Why CNN Chose to Sue Perplexity Instead of Negotiate
CNN entered licensing negotiations with Perplexity in 2025, but the talks collapsed over the scope of content usage. According to the lawsuit, Perplexity understood both before and after those discussions that it had no permission to use CNN’s content. The complaint states directly that once negotiations broke down, Perplexity lacked any right to access CNN’s materials or use its trademarks.
CNN’s public statement made the network’s position unmistakable. The company argued that a multi-billion-dollar enterprise cannot simply take from the creators of original content without compensation. Journalism requires human effort, carries inherent risk, and costs real money to produce. Commercial operators must pay for what they use, CNN asserted, whether through licensing agreements or legal settlements.
Perplexity’s chief communications officer, Jesse Dwyer, offered a one-word rebuttal that encapsulates the core legal dispute: “There is no copyright in facts.”
What the “No Copyright in Facts” Argument Actually Means
Dwyer’s statement is legally correct in a narrow sense. Facts themselves cannot be copyrighted. However, the expression of facts through reporting, verification, structuring, and narrative presentation constitutes original work that copyright law protects. The distinction matters because Perplexity is not merely reproducing raw facts. News organizations argue that the company is scraping entire articles, photographs, and videos, not just extracting factual data points.
The New York Times, in its own lawsuit against Perplexity filed in December 2025, alleged that the company marketed itself with a “skip the links” tagline, positioning its service as a replacement for visiting original sources. Britannica’s complaint, filed in September 2025, presented multiple instances where Perplexity’s responses matched Britannica’s text verbatim. These cases share a common thread: the question is not whether facts can be owned, but whether the creative and editorial work that transforms raw information into journalism deserves compensation.
The Expanding Legal Web Surrounding Perplexity
Perplexity now faces lawsuits from a growing list of plaintiffs that spans continents and media categories. Dow Jones, publisher of the Wall Street Journal, and the New York Post sued in October 2024. The New York Times and the Chicago Tribune followed in December 2025. Reddit filed its own suit in October 2025, citing data scraping. Britannica and Merriam-Webster pursued legal action in September 2025 in the same Southern District of New York court where CNN would later file.
The legal pressure extends beyond the United States. In August 2025, Japan’s Yomiuri Shimbun became the first major Japanese news organization to sue an AI company, seeking approximately 21.68 billion yen in damages for the unauthorized use of roughly 119,000 articles. The Asahi Shimbun and Nikkei later joined with their own lawsuits. Perplexity’s legal exposure is now global and multidimensional, involving not only news publishers but also reference works, social media platforms, and encyclopedia publishers.
How the Media Industry Is Splitting Into Two Camps
Not every publisher has chosen to fight Perplexity in court. TIME magazine, USA Today Co. (which controls more than 200 local newspapers through its predecessor Gannett), the Los Angeles Times, Der Spiegel, the Independent, and several other outlets have signed licensing agreements with the company. These deals give Perplexity legal access to their content in exchange for financial compensation.
Perplexity launched its publisher program in August 2025, building a revenue-sharing model that allocates a portion of advertising income to content sources. The company has proposed returning up to 80% of subscription revenue to publishers whose content appears in search results. This approach has attracted some partners but failed to satisfy others, including CNN, which views the issue as fundamentally about fair compensation rather than opposition to AI itself.
CNN’s position is not anti-technology. The network has existing licensing agreements with Meta, announced in December 2025, and multiple other AI-related partnerships. The distinction CNN draws is between paying and not paying. The problem, from CNN’s perspective, is not the existence of AI search but the refusal to compensate the human labor that produces the information AI systems depend on.
Technical Allegations: Bypassing Blocking Mechanisms
The lawsuits against Perplexity have raised technical concerns that go beyond standard copyright disputes. Multiple complaints allege that Perplexity ignored robots.txt files, the standard protocol websites use to signal whether automated scrapers are welcome. A Cloudflare report from August 2025 found that Perplexity had used a scraper disguised as Google Chrome and had accessed content from IP addresses it had not publicly disclosed.
These technical allegations matter because they shift the nature of the legal argument. If Perplexity circumvented technical barriers that were clearly designed to block its access, the cases move from simple copyright infringement into territory involving computer fraud statutes and intentional deception. The pattern of behavior described in multiple lawsuits suggests a company that was aware of publishers’ objections and designed its technical infrastructure to work around them.
Perplexity’s Business Scale and Strategic Position
Perplexity is no longer a startup operating on experimental budgets. The company carries a valuation of approximately $20 billion to $22.6 billion and has raised more than $1.72 billion in total funding. Its annualized recurring revenue surpassed $450 million as of March 2026, with a year-end target of $656 million. These numbers place Perplexity among the most valuable private AI companies in the world and explain why publishers see the company as capable of paying fair market rates for content.
The core of Perplexity’s business model involves feeding third-party content into its AI systems and returning summarized results to users. The company built substantial scale before establishing a compensation framework that satisfied content creators. From the perspective of news organizations, Perplexity’s growth effectively subsidized its product using content it had not paid for.
What This Lawsuit Changes for the Industry
CNN’s entry into the legal fight marks a turning point because it extends the conflict from print and digital text into video and broadcast content. The 17,000 pieces of content at issue in CNN’s lawsuit include not only articles and photographs but also video footage, which represents a category of intellectual property that carries different licensing norms and higher production costs.
The television network’s involvement signals that the entire news industry, across all formats and geographies, is now coordinating legal responses to AI content use. The question that publishers are forcing into courtrooms is straightforward: can an AI company build a search product by taking content that it refuses to pay for, or will the law require compensation as a condition of commercial use?
Perplexity faces two possible paths forward. It can negotiate licensing agreements with every publisher that demands them, which would dramatically increase its operating costs. Or it can defend the “no copyright in facts” position in court and attempt to win a legal precedent that would fundamentally reshape the economics of AI search. The first option is expensive. The second option carries existential risk for a business built on other people’s content.
The outcome of these combined lawsuits will determine whether AI search engines can operate as free riders on the journalism industry or whether they must become paying customers of the news ecosystem. If the courts rule that scraping and repackaging protected content without payment is legal, the economic model that supports professional journalism faces a direct threat. The publishers who invest in original reporting may not survive a legal environment that allows AI companies to take their work without compensation. The search results that users rely on would then draw from a shrinking pool of original content, creating a feedback loop where the quality of AI-generated answers degrades as the source material disappears.
