parag agrawal

Agents will consume the web at massive scale (1000x+ human usage), creating enough value to fund new business models that reward open, high-quality content — if incentive alignment is solved before the web closes up.

Three decades of web business models (ads, subscriptions, e-commerce) built for human attention are obsolete; agent-driven usage requires novel incentive structures that pay content creators for machine consumption to prevent web enclosure.

Every AI application creates user expectation of all-knowing models; Parallel provides the infrastructure layer that lets any agent access the web with high quality, low latency, and low token cost — becoming essential adjacency for all knowledge-work agents.

Best engineers use coding agents not just for speed but to broaden ownership — backend engineers doing frontend, security reviews, API design — with token spend justified by expanded leverage, not efficiency alone.

Enterprises like PE firms can shift from intuitive top-down pruning of opportunities to exhaustive agent-driven simulations across vast search spaces, creating new work and value rather than just automating existing workflows.