Training Data/
Parallel’s Parag Agrawal: Building a New Web for AI Agents
Parag Agrawal says Parallel is rebuilding web search for agents, not humans, by treating click data as a bug and optimizing for agent feedback, latency, and token efficiency. He also argues the web’s ad economy will need a new pricing model for AI-era usage, likely built on Shapley-style attribution and differential pricing for content owners.
