The AI Agent Paradox: Technology Matures While Infrastructure Lags

Multi-agent AI systems have reached a maturity level where developers can orchestrate multiple agents in parallel, yet the workflow infrastructure to manage them remains fragmented and immature. The development bottleneck has fundamentally shifted from code execution to work specification—requiring organizations to rethink how they define and supervise AI-driven work. This gap between capability and infrastructure readiness will determine which teams successfully scale autonomous workflows into production.