Why AI Agents Break Web Ads and How to Price Data
Parag Agrawal explains why AI agents break digital ads and how Parallel is building an inference-time payment network for data.
10+ hours of podcasts, in 5 minutes.
Parallel Co-Founder and CEO Parag Agrawal joins Harry Stebbings to discuss building web search infrastructure purpose-built for AI agents rather than humans. He explains why AI agent adoption will break traditional digital advertising models, how search compute stacks must evolve, and why push-based web monitoring represents the next paradigm of online retrieval. Agrawal also shares reflections on AI safety, model scaling economics, and leadership lessons from working with Elon Musk at Twitter.
Parag Agrawal explains why AI agents break digital ads and how Parallel is building an inference-time payment network for data.
Parag Agrawal explains why autonomous AI agent escapes are developer embarrassments, not badges of honor, on 20VC with Harry Stebbings.
Parag Agrawal explains why distilling AI models strips memorized facts, making external web search infrastructure essential for AI agents.
Former Twitter CEO Parag Agrawal shares leadership lessons on Elon Musk, compressed timelines, and why great engineering needs sales.
Parallel CEO Parag Agrawal explains why 24/7 AI agents break pull search and how push monitoring cuts compute costs across the web.
10+ hours of podcasts, distilled into one 5-minute read. Free, every Sunday morning.
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