---
id: "entity-mckinsey-d50"
type: "entity"
source_timestamps: ["§ The Capability-Reality Gap"]
tags: ["consulting", "research-source"]
related: ["claim-managers-bypassed-elevation", "claim-infrastructure-scales-adoption"]
entityType: "organization"
canonicalName: "McKinsey & Company"
aliases: ["McKinsey"]
sources: ["reskilling"]
sourceVaultSlug: "hbr-seg-reskilling"
originDay: 10
articleStem: "hbr-sig-50-adoption-overloading-managers"
sourceUrl: "https://hbr.org/2026/06/ai-adoption-is-overloading-your-middle-managers"
sourceTitle: "AI Adoption Is Overloading Your Middle Managers"
---
# McKinsey

**McKinsey & Company** is a global management consulting firm cited in the source for research identifying that **workflow redesign, rather than technology sophistication, is the primary driver of AI impact** — a finding that anchors [[claim-infrastructure-scales-adoption]].

**Enrichment context.** McKinsey is one of the most-corroborating outside voices for this article. Its own work — 'Middle managers hold the key to unlock generative AI' — states that middle managers will be critical to generative-AI deployment and adoption, and argues that excellent middle management becomes *more* important in an AI world (aligning with [[contrarian-flattening-is-dangerous]]). McKinsey also supplies the optimistic counterpoint the article pushes against: generative AI could free managers from administrative work for people leadership, and could automate activities comprising 60–70% of employees' time. On [[concept-workslop-d50]], McKinsey's 'decent first drafts still need managerial judgment' framing corroborates the phenomenon under a different name.


## Related across articles
- [[entity-mckinsey-d46]]