---
id: "contrarian-local-success-global-failure"
type: "contrarian-insight"
source_timestamps: ["§ Effect #3: Undershot Company Targets"]
source_url: "https://hbr.org/2025/09/dont-let-ai-reinforce-organizational-silos"
source_title: "Don't Let AI Reinforce Organizational Silos"
tags: ["metrics", "false-positives", "performance-measurement"]
related: ["concept-siloed-ai-implementations", "entity-vera-wilde", "concept-shared-cross-functional-kpis"]
challenges: "The assumption that aggregating localized departmental efficiency gains automatically results in overall corporate success."
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"
---
# Departmental AI success metrics can mask overall corporate failure

**Contrarian insight:** Departmental AI success metrics can mask overall corporate *failure*.

**Challenges the assumption that:** aggregating localized departmental efficiency gains automatically results in overall corporate success.

Conventional thinking assumes that if every department improves its efficiency (e.g., 15% fewer stockouts, 40% faster response times, 25% higher email open rates), the company as a whole must be improving. The contrarian reality — shown at [[entity-vera-wilde]] — is that these localized, siloed AI wins can actually cause corporate performance to go into reverse, masking stagnant macro-metrics (like flat customer satisfaction / NPS) and loss of market share.

This is the diagnostic behind [[concept-siloed-ai-implementations]] (Effect #3) and the motivation for switching to [[concept-shared-cross-functional-kpis]]. It's why leaders need [[prereq-systems-thinking]]: a dashboard of green departmental metrics can hide a red enterprise scoreboard.


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