The Infrastructure Race Behind Agentic AI

Agentic AI, which involves systems capable of planning and executing multi-step tasks autonomously, is seeing a shift in competitive focus from model development to infrastructure readiness as adoption accelerates. According to the 2026 State of Agentic AI report, 67% of developers are already building or deploying agentic workflows, and 94% are open to switching vendors for better infrastructure capabilities. This shift emphasizes the importance of scalable, compliant, and production-ready infrastructure over model intelligence alone, as agentic systems require reliable access to operational data and robust integration with software stacks. The competitive landscape is increasingly determined by vendors' ability to provide structured data access, support high-volume workflows, and maintain compliance and security, with infrastructure gaps posing strategic risks. As the demand for agentic AI grows, organizations prioritize reducing operational friction and ensuring consistent AI-driven workflow performance, indicating a trend where architectural readiness outweighs brand loyalty.