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As tensions rise between legacy media and AI startups, The New York Times escalates its legal battle by targeting Perplexity, signaling a broader industry crackdown on unauthorized content use.
The New York Times has issued a cease and desist letter to the AI search engine startup, Perplexity, demanding that it stop using content from its site. This action follows the Times’ ongoing legal battle with OpenAI and Microsoft over alleged copyright infringement, where it claims these companies have been training their models on its content without permission.
The cease and desist letter to Perplexity underscores the escalating tension between traditional media outlets and AI-driven platforms. The New York Times, a prominent voice in journalism, is taking a firm stance against what it perceives as unauthorized use of its intellectual property. This move could set a precedent for how other media organizations approach similar issues with AI companies.

Perplexity has responded to the New York Times’ demands by asserting that "no one organization owns the copyright over facts." This stance reflects a broader debate within the tech industry about the boundaries of intellectual property rights in the context of AI. However, this argument may not be sufficient to resolve the legal issues at hand, given the Times’ strong position and ongoing litigation.
The dispute between the New York Times and Perplexity has broader implications for the market:
The cease and desist letter from the New York Times to Perplexity highlights the complex interplay between traditional media and emerging AI technologies. While it presents significant risks for Perplexity, it also offers opportunities for innovation and collaboration. The outcome of this dispute will likely have far-reaching implications for both the tech and media industries.
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Marcus began tracking AI's market implications in 2016, noticing AI-related patent filings accelerating ahead of earnings upgrades before most of the sell-side had caught on. A former fixed-income quantitative analyst, he spent two decades building models that priced risk across emerging markets before pivoting to cover the economic impact of AI full-time. His writing translates opaque technical developments into clear risk/reward terms — and he's rarely diplomatic about the gap between AI valuations and underlying fundamentals. He believes most market participants still underestimate AI's long-run deflationary effect on knowledge work.
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16 October 2024
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