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CNN Sues Perplexity AI Over Alleged Copying of 17,000 Pieces of Content
CNN filed a lawsuit against Perplexity AI on May 28 2026, accusing the AI‑search firm of copying more than 17,000 of its articles, videos and images without permission or payment. The complaint sets itself apart from other copyright cases that focus on training large language models. CNN says Perplexity’s retrieval‑augmented generation (RAG) system pulls live content from CNN’s website and delivers it to users in near‑verbatim form, sometimes without linking back to CNN.com and occasionally exposing material that is normally behind a paywall.
The suit also alleges trademark infringement. CNN claims Perplexity marketed a “Comet Plus” subscription tier that gave users access to CNN’s premium content, even though the two companies have no commercial partnership. The complaint cites willful infringement, pointing to Perplexity’s disregard of a formal cease‑and‑desist letter issued in December 2025.
The case arrives amid growing concerns about the decline of local news. Policymakers have suggested that AI firms should pay licensing fees for news content. CNN notes that the U.S. news industry has lost more than 3,200 newspapers since 2005, a trend largely driven by the collapse of print advertising long before AI’s rise. Data from TollBit shows that AI search tools generated 96 % less referral traffic for publishers than traditional Google search in 2025.
International experience offers a cautionary example. Canada’s Online News Act requires payment terms for news content, but the law did not provide platforms with a workable compliance path. The Media Ecosystem Observatory estimated that Canadian news publishers saw about eleven million fewer daily views as a direct result, with local outlets suffering the most.
CNN argues that voluntary AI content licensing is a viable alternative, citing existing agreements between Perplexity and publishers such as Gannett, TIME and Le Monde. The lawsuit is presented as a legal backstop that encourages companies to negotiate such agreements. On enforcement, the article points to the Federal Trade Commission’s Section 5 authority to address false‑affiliation claims. Since 2024, the FTC has pursued at least a dozen AI‑related misrepresentation cases under its “Operation AI Comply” initiative, and the author suggests the FTC should continue to use these tools if the allegations prove true.
If Congress were to act, the article recommends that lawmakers clarify that near‑verbatim AI reproduction of paywalled content for commercial purposes falls outside fair use. It also proposes a safe‑harbor provision that would give developers legal certainty when they respect machine‑readable opt‑out signals and filter sensitive personal information.
The CNN‑Perplexity case illustrates the need for policymakers to enforce existing laws precisely while building a commercial infrastructure that allows AI answer engines and news publishers to cooperate rather than confront each other. The outcome will shape how AI search products source content, how publishers can monetize their work, and how the legal system treats the intersection of copyright, trademark and emerging AI technologies.
The suit also alleges trademark infringement. CNN claims Perplexity marketed a “Comet Plus” subscription tier that gave users access to CNN’s premium content, even though the two companies have no commercial partnership. The complaint cites willful infringement, pointing to Perplexity’s disregard of a formal cease‑and‑desist letter issued in December 2025.
The case arrives amid growing concerns about the decline of local news. Policymakers have suggested that AI firms should pay licensing fees for news content. CNN notes that the U.S. news industry has lost more than 3,200 newspapers since 2005, a trend largely driven by the collapse of print advertising long before AI’s rise. Data from TollBit shows that AI search tools generated 96 % less referral traffic for publishers than traditional Google search in 2025.
International experience offers a cautionary example. Canada’s Online News Act requires payment terms for news content, but the law did not provide platforms with a workable compliance path. The Media Ecosystem Observatory estimated that Canadian news publishers saw about eleven million fewer daily views as a direct result, with local outlets suffering the most.
CNN argues that voluntary AI content licensing is a viable alternative, citing existing agreements between Perplexity and publishers such as Gannett, TIME and Le Monde. The lawsuit is presented as a legal backstop that encourages companies to negotiate such agreements. On enforcement, the article points to the Federal Trade Commission’s Section 5 authority to address false‑affiliation claims. Since 2024, the FTC has pursued at least a dozen AI‑related misrepresentation cases under its “Operation AI Comply” initiative, and the author suggests the FTC should continue to use these tools if the allegations prove true.
If Congress were to act, the article recommends that lawmakers clarify that near‑verbatim AI reproduction of paywalled content for commercial purposes falls outside fair use. It also proposes a safe‑harbor provision that would give developers legal certainty when they respect machine‑readable opt‑out signals and filter sensitive personal information.
The CNN‑Perplexity case illustrates the need for policymakers to enforce existing laws precisely while building a commercial infrastructure that allows AI answer engines and news publishers to cooperate rather than confront each other. The outcome will shape how AI search products source content, how publishers can monetize their work, and how the legal system treats the intersection of copyright, trademark and emerging AI technologies.
