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Exa CEO Will Bryk argues agentic search will surpass Google by 2030 through deeper retrieval, comprehensive results, and AI-native infrastructure.

Exa cofounder and CEO Will Bryk explains why search built for AI agents must go far beyond Google’s human-click model. Agents need complex semantic and keyword queries, controllable filters, fresh data, and comprehensive outputs—potentially 1,000 to 10,000 results instead of 10. Bryk says Exa’s LLM-based retrieval can reduce customer costs by up to 20x, while reinforcement learning with Exa required fewer calls and delivered higher performance than traditional SERP tools. He predicts agentic search could exceed Google Ads in market size by 2030, driven by thousands or millions of searches from personal assistants and software agents. The conversation also covers coding agents, retrieval’s role in reducing token use, infrastructure and data bottlenecks, and Exa’s research-driven culture of hiring passionate, highly autonomous employees.

Chapters

  1. 0:00Exa Origin Story: From a College Search Engine to a 2021 Mission
  2. 2:35Beating Google With LLMs: Deep Queries, $10 Billion Costs, and ChatGPT
  3. 9:00Search Built for Agents: Complex Queries, Controls, and Complete Results
  4. 12:11Search Built for Agents: 10,000 Results and an Easier LLM-Native Architecture
  5. 15:47Search Built for Agents: 99.9999% Reliability and the Non-Commodity Frontier
  6. 19:03Search Built for Agents: Go-to-Market Intelligence, Polarization, and Retrieval
  7. 22:30Search Built For Agents: Exa Makes Coding Agents More Accurate
  8. 26:01Tokenpocalypse and Retrieval: Exa Claims 20x Cost Savings
  9. 29:21RL for Better Search: Exa Outperforms SERP in Agent Training
  10. 32:23Benchmarks and Agentic TAM: Agentic Search Could Exceed Google Ads by 2030
  11. 36:52Benchmarks and Agentic TAM: Infrastructure and Data Become the Bottlenecks
  12. 39:58Benchmarks and Agentic TAM: SpaceX Lessons, Exa’s Goat, and 10^18 Information
  13. 44:20Culture Hiring and Wrap: Exa’s Passion-Driven Culture and Agentic Hiring

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