How to Scale AI Without Surprising Your CFO
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As AI moves from pilot to production, organizations face a structural cost visibility problem. Panelists from Google, Shopify, and Finout discuss how to build financial discipline into AI programs from the start — including cost attribution per team and feature, unit economics tied to business outcomes, and making the CFO an active stakeholder rather than a budget gatekeeper. The core argument: teams that treat cost attribution as an engineering requirement from day one scale AI furthest and earn continued organizational investment.
Table of contents
The Question Has ChangedWhat AI Infrastructure Actually Costs at ScaleWhy AI Costs Are Invisible Without the Right InfrastructureGiving Business Units Granular AI Cost VisibilityMaking the CFO an AI Infrastructure AllyWhat Scaling AI Responsibly Actually Looks LikeSort: