Policy | 6/20/2025
BBC Initiates Legal Action Against Perplexity Over Copyright Issues
The BBC has threatened legal action against AI startup Perplexity, alleging unauthorized scraping of its content for AI training. This case highlights the ongoing conflict between media organizations and AI developers regarding the use of copyrighted material.
BBC Initiates Legal Action Against Perplexity Over Copyright Issues
The British Broadcasting Corporation (BBC) has announced its intention to take legal action against the U.S.-based artificial intelligence startup Perplexity. The BBC accuses Perplexity of unlawfully scraping its content to train its AI systems, marking a significant escalation in the ongoing conflict between news organizations and AI developers over the use of copyrighted material.
Allegations and Demands
In a formal letter addressed to Perplexity's CEO, Aravind Srinivas, the BBC claims to have evidence that the startup's default AI model was trained using the broadcaster's journalism without permission. The letter demands that Perplexity cease all scraping of BBC content, delete any copies of the material it holds, and propose a plan for financial compensation for the alleged infringement of intellectual property. The BBC has warned that failure to comply may result in a court-ordered injunction.
The BBC argues that Perplexity's AI-powered search engine competes directly with its own services by reproducing content, sometimes verbatim, which could undermine the need for users to visit the original source. Additionally, the BBC has raised concerns about the accuracy of information provided by Perplexity, citing internal research indicating that a significant percentage of responses using BBC sources contained factual inaccuracies or lacked necessary context.
Perplexity's Response
Perplexity has strongly rejected the BBC's allegations, labeling them as "manipulative and opportunistic." The company asserts that the BBC misunderstands technology, the internet, and intellectual property law. As an answer engine, Perplexity provides summarized responses to user queries by drawing information from various online sources. The startup argues that its methods represent a legitimate evolution of information access and suggests that the BBC's actions may be an attempt to protect Google's dominance in the search market.
This is not the first instance of Perplexity facing accusations of plagiarism and unauthorized content scraping; it has previously received cease-and-desist notices from other media outlets. In response to pressure from publishers, Perplexity has initiated a revenue-sharing program, although this has not resolved the broader dispute regarding the use of copyrighted data for training AI models without explicit consent.
Broader Implications
The conflict between the BBC and Perplexity is part of a larger, ongoing debate about copyright in the age of generative AI. Numerous lawsuits have been filed globally by authors, artists, and news organizations against AI companies for using their work without permission. The outcomes of these legal challenges could establish crucial precedents that will shape the economic and legal relationships between content creators and the AI industry.
Media executives and leaders in the creative industry are increasingly advocating for an "opt-in" system, where AI companies must secure licenses before using copyrighted material. The BBC's director-general has warned that without stronger protections, the value of the creative industries could be severely threatened.
The resolution of the dispute between the BBC and Perplexity will be closely monitored as it may influence the future of information dissemination and intellectual property. A successful legal pursuit by publishers like the BBC could compel AI companies to enter licensing agreements, potentially altering their business models. Conversely, if AI firms successfully argue that their use of public data is protected under fair use, it could further disrupt traditional media by solidifying AI-driven platforms as primary information sources, potentially diminishing traffic and revenue for original publishers.