---
id: "open-question-ai-support-structures"
type: "open-question"
source_timestamps: ["§ AI Is Squeezing Middle Managers"]
tags: ["organizational-design", "ai-management"]
related: ["action-provide-ai-manager-support", "concept-role-elevation"]
resolutionPath: "Case studies of companies that have successfully integrated AI without burning out middle managers, detailing the specific structural and KPI changes implemented."
sources: ["reskilling"]
sourceVaultSlug: "hbr-seg-reskilling"
originDay: 10
articleStem: "hbr-sig-49-ai-squeezing-middle-managers"
sourceUrl: "https://hbr.org/2026/06/ai-is-squeezing-middle-managers"
sourceTitle: "AI Is Squeezing Middle Managers"
---
# What Do Formal Support Structures for AI Oversight Look Like?

**Open question.** The authors state that without 'organizational support,' managers get buried by AI (see [[concept-role-elevation-d49]] and [[action-provide-ai-manager-support]]). However, the source does **not explicitly define** what these formal support structures should entail — e.g., adjusted KPIs, dedicated AI QA teams, reduced delivery quotas, prompt/review standards, or governance roles.

**Resolution path.** Case studies of companies that have successfully integrated AI **without burning out middle managers**, detailing the specific structural and KPI changes implemented.

**Enrichment leads.** The overlay's counter-perspectives suggest concrete candidates: prompt standards, review workflows, and dedicated AI-governance roles — the levers that determine whether the middle-manager burden materializes at all.

Related: [[action-provide-ai-manager-support]] · [[concept-role-elevation-d49]] · [[claim-ai-burdens-middle-managers]]