Perplexity AI CEO, AI-native search
Aravind Srinivas
Profile
Aravind Srinivas runs Perplexity AI, the “answer engine” that made a credible case — for the first time in two decades — that Google’s search monopoly was actually contestable. Born and raised in Chennai, he did his undergrad at IIT Madras, then a PhD in computer science at UC Berkeley under Pieter Abbeel, finishing in 2021. Along the way he cycled through internships at all three of the AI labs that matter — OpenAI, Google Brain, and DeepMind — and did real research, not just the kind that gets you a line on a résumé.
His academic work was in reinforcement learning and representation learning — CURL, VideoGPT, and co-authorship on the Decision Transformer paper that reframed RL as sequence modeling. Then in 2022 he co-founded Perplexity with Denis Yarats, Johnny Ho, and Andy Konwinski. The bet was simple and obvious in hindsight: a large language model, grounded in live web results, with citations. The interface was a text box. The product was a straight shot at Google.
Growth has been aggressive in both directions — up and out. Perplexity hit a reported $22B+ valuation in early 2026, ARR crossed $200M, and Srinivas kept picking fights that much larger companies wouldn’t. In January 2025 he made an unsolicited bid for TikTok. In August 2025 he offered Google $34.5B for Chrome — a headline-chasing move but also a real articulation of strategy: if search is becoming a browser feature, own the browser. Perplexity shipped its own Chromium-based AI browser, Comet, in July 2025.
For developers learning AI, Srinivas is worth watching because Perplexity is the clearest product-market-fit story in the post-ChatGPT search wave. He’s also an unusually open operator — active on X, candid about what’s working and what isn’t, and willing to explain the engineering tradeoffs of retrieval-augmented generation in public. The company is not profitable and may never dethrone Google, but it has already done something rarer: it reset expectations for what “search” can be.
Key Articles & Papers
CURL: Contrastive Unsupervised Representations for Reinforcement Learning Decision Transformer: Reinforcement Learning via Sequence Modeling VideoGPT: Video Generation using VQ-VAE and Transformers Perplexity's Aravind Srinivas on the Infinite Value of Knowledge How Aravind Srinivas turned Perplexity into an $18 billion companyVideos
Controversies
Web scraping and robots.txt. In June 2024, Wired and developer Robb Knight published investigations showing Perplexity was ignoring robots.txt and using undisclosed crawlers to pull content from sites that had explicitly blocked it. Forbes threatened legal action after Perplexity generated near-verbatim summaries of Forbes reporting with inadequate citation. Srinivas responded that Perplexity relied on “third-party crawlers” but wouldn’t name them.
Cloudflare stealth crawler report. In August 2025, Cloudflare published research finding Perplexity used undeclared “stealth” crawlers with spoofed user-agent strings to bypass WAFs and crawl directives — a harder accusation to dismiss than the earlier ones and one that reignited the publisher lawsuits and licensing debates around AI search.
Spotify Podcasts
