Enterprise data architectures built for predictable users cannot handle agentic AI workloads

According to CIO, enterprise data architectures designed for predictable consumer patterns—such as 1,000 users accessing a single application—cannot support agentic AI's unpredictable, concurrent, short-lived workloads. Technology leaders report that decades of ERP customization and legacy systems originally built for stable consumption patterns now face compatibility challenges as agentic AI multiplies the number and variety of simultaneous data consumers, forcing reconsideration of foundational infrastructure decisions.