Why Your Infrastructure Isn’t Ready for Agentic AI (and What to Do About It)

Everyone is racing to add AI features to SaaS products. But most infrastructure isn’t ready for it. AI workloads break the assumptions traditional data architectures were built on; query volumes surge, latency tolerance vanishes, and costs spiral. In this session, we’ll break down why today’s SaaS stacks fail under AI pressure and what you can do about it. You’ll learn the hidden pitfalls of AI-generated workloads, from concurrency overload to schema chaos, and leave with a practical framework for building SaaS infrastructure that’s truly AI-ready.

This session is designed for leaders responsible for scaling products and budgets — not just data teams. We’ll unpack why AI workloads overwhelm today’s SaaS stacks and how forward-thinking companies are re-architecting for the next wave of AI. You’ll leave with a practical framework for evaluating your infrastructure’s readiness and making smart, future-proof investments.

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What You’ll Learn

✅ Learn how to predict and prevent cost explosions under AI load
✅ See real query patterns that crash typical SaaS stacks
✅ Get Firebolt’s framework for building AI-ready infrastructure