Google released ax, a highly distributed executor designed to run AI agents at scale. The system manages complex task orchestration across decentralized environments to reduce latency. It solves the bottleneck of sequential execution in agentic workflows. Developers can now deploy more resilient, parallelized autonomous systems without managing the underlying infrastructure manually.