---
id: "claim-productivity-boost"
type: "claim"
source_timestamps: ["¶2"]
tags: ["productivity", "roi", "metrics"]
related: ["concept-full-funnel-gen-ai", "action-pre-meeting-briefs", "evidence-productivity-benchmarks", "question-productivity-vs-headcount"]
confidence: "high"
testable: true
speakers: ["Doug J. Chung", "Candace Lun Plotkin", "Siamak Sarvari", "Jennifer Stanley", "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"
---
# Gen AI significantly boosts sales and marketing productivity

## Claim: Gen AI significantly boosts sales & marketing productivity

**Statement:** The effective use of Generative AI has the potential to boost **marketing productivity by up to 15%** and **sales productivity by up to 20%**.

**Supporting evidence in the source:** An enterprise solutions company saw a **10% increase in segment sales productivity** simply by using Gen AI to generate pre-meeting briefings for sellers — see [[action-pre-meeting-briefs]] and [[concept-full-funnel-gen-ai]].

**Confidence:** HIGH (article) — but calibrate against external benchmarks.

**Enrichment (calibration):** McKinsey's *central* estimate is **5–15% of marketing spend** and **3–5% of sales spend**; some vendor/field studies report up to **40% sales productivity** in specific implementations. Corroborating knowledge-work evidence: a St. Louis Fed analysis finds ~5.4% of work hours saved (≈33% higher productivity in Gen-AI hours); a Wharton review finds AI labor-cost savings of ~10–55%, averaging ~25%. **Read 15–20% as an upper bound for well-executed programs, not a guaranteed average.** Full detail in [[evidence-productivity-benchmarks]].

**Open strategic question:** whether the gain is spent on revenue growth or headcount reduction — see [[question-productivity-vs-headcount]].