Everyone is racing to add AI features to SaaS products. But here’s the truth: 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.

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What You’ll Learn

• Why today’s SaaS infrastructure breaks under AI workloads
• The biggest pitfalls to avoid: messy queries, overload, and cost spikes
• A clear framework to future-proof your stack for AI