As AI agents pushed into production, it became clear the serverless approach could not support them. Agents violate the assumptions that made serverless attractive.

Jonathan Wall discusses why agents require a departure from traditional server architecture
CRAIG SMITH
JONATHAN WALL
In this episode of Eye on AI, Craig Smith speaks with Jonathan Wall, founder and CEO of Runloop AI, about why AI agents require an entirely new approach to compute infrastructure.
Jonathan explains why agents behave very differently from traditional servers, why giving agents their own isolated computers unlocks new capabilities, and how agent-native infrastructure is emerging as a critical layer of the AI stack. The conversation also covers scaling agents in production, building trust through benchmarking and human-in-the-loop workflows, and what agent-driven systems mean for the future of enterprise work.