20VC: Five Predictions for a World of Agents | The Ads Business Model Will Die | Biggest Lessons from Working with Elon Musk at Twitter with Parag Agrawal, Parallel

Agentic search represents a fundamental shift in how AI interacts with the web, requiring a transition from human-centric browser models to high-efficiency, machine-optimized architectures. Parag Agrawal, founder of Parallel, posits that agents will consume web data at a scale three orders of magnitude greater than humans, necessitating a move toward lower-compute, high-speed search systems. Current advertising-based business models fail to support this agent-driven economy, creating a critical need for new mechanisms to value and transact unique data insights at inference time. While frontier models continue to scale in complexity, the future of the web will likely shift from a pull-based search paradigm to an event-driven, push-based model where persistent agents monitor real-time data streams to execute tasks autonomously. This evolution demands robust guardrails and incentive alignment to ensure that content owners are fairly compensated for the value their data provides to autonomous systems.