---
id: "claim-ai-reinforces-silos"
type: "claim"
source_timestamps: ["¶2"]
source_url: "https://hbr.org/2025/09/dont-let-ai-reinforce-organizational-silos"
source_title: "Don't Let AI Reinforce Organizational Silos"
tags: ["organizational-behavior", "ai-impact"]
related: ["concept-department-centric-ai", "quote-performance-reverse"]
confidence: "high"
testable: true
speakers: ["Graham Kenny", "Kim Oosthuizen"]
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"
---
# AI adoption frequently reinforces organizational silos

**Claim:** AI adoption frequently reinforces organizational silos. — *Confidence: high · Testable: yes*

Despite the promise of streamlining operations, the actual implementation of AI in many organizations is reinforcing functional silos. Because departments adopt AI tools independently to solve local problems, they retreat into their own “AI-powered worlds,” making the organization as a whole less capable of delivering on corporate strategy (see [[quote-performance-reverse]]).

This is the article's central diagnostic claim; its mechanism is detailed in [[concept-department-centric-ai]].

**Enrichment validation:** Well supported. Enterprise AI governance guidance frames AI Centers of Excellence as a direct response to fragmentation, duplication, and ungoverned local experimentation. Microsoft explicitly states an AI CoE helps prevent fragmented or ungoverned AI; IBM says a CoE should centralize standards, reusable assets, and governance so AI stays aligned to strategic goals; Oracle describes the CoE as a cross-functional hub — all consistent with this claim and the article's hub-and-spoke recommendation.


## Related across articles
- [[claim-usage-not-buy-in]]
- [[concept-performative-ai-usage]]