AI agents are not just making existing work faster and cheaper; they are expanding what workers can do. Engineers are taking on more end-to-end ownership, using agents for security reviews,…

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 levera…

AI agents will use the web 1000x more than humans ever have, and no existing system is designed for this scale from an architecture or infrastructure perspective. This creates a massive opp…

The web's existing business models were built for human users over three decades. As agents become the primary users of the web, new incentive alignment is needed to reward high-quality, un…

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 creator…

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 to…

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 tha…