<ul data-eligibleForWebStory="true"><li>Perplexity, once hailed as the future, now faces criticism for being thin and replicable.</li><li>The company lacks ownership of core components, making it vulnerable to competition.</li><li>Perplexity's AI-native product is seen as more of a demonstration than a robust platform.</li><li>Its user interface is elegant but lacks deep functionality and real-time adaptation.</li><li>Perplexity's reliance on external APIs and lack of deep intelligence make it easily replaceable.</li><li>The product's value proposition of providing sourced answers is reproducible using community tools.</li><li>Perplexity's content scraping practices without permission could lead to legal challenges.</li><li>Its lack of ability to ground every claim to a specific reference poses risks in various industries.</li><li>Perplexity's interface emphasizes confidence over accuracy and context.</li><li>The company's focus on being early in the market rather than irreplaceable puts it at risk in a competitive AI landscape.</li></ul>

Why perplexity can’t win and what it teaches us about building AI-native products

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