Economics of AI: What's Actually Driving Your AI Bill

On-Demand Event

Every engineering organization scaling AI usage runs into the same problem: the bill doesn't match expectations, and nobody can fully explain why.

This session breaks that down for engineering leaders. AI spend isn't one number, it's the product of several smaller decisions stacking on top of each other, how much context a task uses, how many turns it takes to land on a usable answer, and which model tier the work gets routed to, and small inefficiencies in any one of those areas can quietly double or triple a bill that looked reasonable on paper. The session covers how to set a team-level AI budget that survives real usage, when to build cost- governance tooling versus rely on cloud-native platforms, and how to make the case to finance without underselling the value or getting blindsided by the invoice.