---
id: "question-coe-funding-model"
type: "open-question"
source_timestamps: ["§ Effect #1: The “Technology-first” Trap"]
source_url: "https://hbr.org/2025/09/dont-let-ai-reinforce-organizational-silos"
source_title: "Don't Let AI Reinforce Organizational Silos"
tags: ["budgeting", "governance"]
related: ["concept-hub-and-spoke-ai", "framework-hub-and-spoke-implementation"]
resolutionPath: "Case studies detailing the P&L structure and chargeback models for shared AI infrastructure in enterprise environments."
sources: ["tail2"]
sourceVaultSlug: "hbr-seg-tail2"
originDay: 2
articleStem: "hbr-tail-130-ai-reinforce-silos"
sourceUrl: "https://hbr.org/2025/09/dont-let-ai-reinforce-organizational-silos"
sourceTitle: "Don’t Let AI Reinforce Organizational Silos"
---
# How should the AI Center of Excellence be funded relative to the spokes?

**Open question:** How should the AI Center of Excellence be funded relative to the spokes?

While the [[concept-hub-and-spoke-ai]] model is recommended (via [[framework-hub-and-spoke-implementation]]), the article does not detail the financial mechanics. If departments are used to buying their own out-of-the-box tools, shifting to shared infrastructure requires a change in budget allocation. How much budget is centralized in the CoE versus retained by the departmental spokes?

**Resolution path:** Case studies detailing the P&L structure and chargeback models for shared AI infrastructure in enterprise environments. Enrichment adjacency: vendor CoE literature (Microsoft, IBM, Oracle) addresses staffing and governance placement but is likewise light on explicit funding models — this remains a genuine gap.