![[Thumbnail] Why databases are the next bottleneck](/_next/image/?url=https%3A%2F%2Fimages.ctfassets.net%2F00voh0j35590%2F3ciObvXpOVhD2a1czUrk8S%2F70423afede68ff9e97f7f8c921d642ee%2FWebinar_Hero-1440x300__2_.png&w=3840&q=75)
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.”