---
id: "entity-mckinsey-d4"
type: "entity"
entityType: "organization"
canonicalName: "McKinsey & Company"
aliases: ["McKinsey"]
source_timestamps: ["¶1", "¶15"]
tags: ["consulting", "research"]
related: ["claim-familiarity-confidence", "evidence-productivity-benchmarks", "entity-doug-chung", "entity-candace-lun-plotkin", "entity-siamak-sarvari", "entity-jennifer-stanley", "entity-maria-valdivieso"]
sources: ["attention"]
sourceVaultSlug: "hbr-seg-attention"
originDay: 4
articleStem: "hbr-cl-90-genai-myths-sales-marketing"
sourceUrl: "https://hbr.org/2025/02/5-gen-ai-myths-holding-sales-and-marketing-teams-back"
sourceTitle: "5 Gen AI Myths Holding Sales and Marketing Teams Back"
---
# McKinsey & Company

## McKinsey & Company

**Type:** Organization (global management consulting firm).

**Role in the source:** The article's authors — [[entity-doug-j-chung]], [[entity-candace-lun-plotkin]], [[entity-siamak-sarvari]], [[entity-jennifer-stanley]], and [[entity-maria-valdivieso]] — are affiliated with McKinsey, and the piece is co-branded with Harvard Business Review. The article cites a recent **McKinsey survey of almost 4,000 commercial leaders** on Gen AI adoption and sentiment (the 94% vs 52% "very excited" finding in [[claim-familiarity-confidence]]).

**Canonical reference:** mckinsey.com. McKinsey publishes the foundational "Economic potential of generative AI: The next productivity frontier" analysis, which supplies the **5–15% marketing** and **3–5% sales** productivity estimates used to calibrate the article's claims — see [[evidence-productivity-benchmarks]].