---
id: "entity-mckinsey-d1"
type: "entity"
source_timestamps: ["¶1"]
tags: ["consulting", "research"]
related: ["claim-traditional-roi-fails-ai"]
entityType: "organization"
canonicalName: "McKinsey"
aliases: ["McKinsey & Company"]
sources: ["spine"]
sourceVaultSlug: "hbr-seg-spine"
originDay: 1
articleStem: "hbr-edu-47-5-types-ai-investment"
sourceUrl: "https://hbr.org/2026/06/the-5-types-of-ai-investment-and-how-to-capture-their-value"
sourceTitle: "The 5 Types of AI Investment–and How to Capture Their Value"
---
# McKinsey

**Role in this source:** a cited research source establishing the "AI looks like it's failing" backdrop.

Cited for their **2025 Global Survey on AI adoption**, which found that **88% of organizations use AI in at least one business function**, but **only 39% report any impact on EBIT**, and where impact exists it is typically **less than 5%**. These figures anchor the perception of underperformance that the article sets out to reframe ([[contrarian-poor-roi-meaning]]).

**Canonical reference.** McKinsey's AI survey work is the canonical reference family for the claim that AI adoption is widespread but value capture is uneven.