The New York Times sues Perplexity over AI and copyright
The New York Times has filed a lawsuit claiming that Perplexity built parts of its AI product by reproducing Times reporting without consent. The complaint says the system can spit out near verbatim versions of paywalled stories and even attribute scoops to the startup instead of the newspaper.
The article explains that this fight is about more than one chatbot. It is a test case for how news organizations will be compensated when AI companies train and generate on top of their work. The Times argues that scraping, training and then recreating its articles crosses the line from fair use into commercial exploitation. Perplexity counters that it operates within existing copyright rules and that the industry relies on open web content.
By walking through the details of the suit, the author shows how the legal system is being asked to define the boundaries for AI training data, attribution and licensing. Whatever the outcome, the case signals a future where data deals and lawsuits become a normal cost of building powerful models.
