In this Newcomer interview, Srinivas discusses Jensen Huang’s leadership, Perplexity’s relationship with NVIDIA, and the shift from AI search to agents that automate work. He explains why he’s betting on business customers, how Perplexity uses multiple AI models, and what makes an AI product worth paying for.
The conversation covers competition with OpenAI, Anthropic, and Google, the evolution of Comet, Computer, and Teammates, and how Perplexity used its own coding agents to build a database that he says saves tens of millions of dollars annually. Plus, Srinivas responds to Perplexity’s doubters and discusses a potential IPO.
#Perplexity #NVIDIA #aiagents
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Chapters:
00:00 Jensen Huang's Departure and Nvidia's Future
04:24 Perplexity's Evolution Beyond AI Search
07:36 How Perplexity Makes Money With AI Agents
10:30 Why AI Products Matter More Than AI Models
12:24 From Comet to Computer and Teammates
15:57 OpenAI, Anthropic and the Future of AI
18:26 Why Perplexity Is Shifting Away From Consumer AI
21:47 Perplexity's IPO Plans and What's Next