AI and agentic workloads are growing faster than backend systems were ever designed to handle, overwhelming traditional databases, coordination layers, and latency budgets. New survey data from 1,000+ engineering and AI leaders shows that 83% believe the biggest emerging failure point isn’t GPUs or models but the operational data layer beneath them, as AI will exceed their data-infrastructure capacity in 12–18 months.*
In this exclusive virtual roundtable discussion, we reveal why building for AI at scale requires first-principles architecture, not bolt-on features, and how distributed, resilient systems are defining what it means to be “AI-ready.”