---
id: "entity-global-entrepreneurship-monitor"
type: "entity"
entityType: "organization"
canonicalName: "Global Entrepreneurship Monitor"
aliases: ["GEM"]
source_timestamps: ["¶3", "§ The Importance of Ambitious Entrepreneurs", "§ Adoption of AI in Entrepreneurial Businesses"]
tags: ["research-organization", "data-source"]
related: ["concept-ambitious-entrepreneurs", "claim-ambitious-ai-adoption", "claim-ambitious-innovation-rate", "claim-ai-apprehension-metrics"]
sources: ["spine"]
sourceVaultSlug: "hbr-seg-spine"
originDay: 1
articleStem: "hbr-ext-20-entrepreneurs-scale-with-ai"
sourceUrl: "https://hbr.org/2025/08/how-ambitious-entrepreneurs-can-use-ai-to-scale-their-startups"
sourceTitle: "How Ambitious Entrepreneurs Can Use AI to Scale Their Startups"
---
# Global Entrepreneurship Monitor (GEM)

The research organization (consortium) that surveyed **over 2,300 U.S. entrepreneurs**, providing the foundational metrics for the article. GEM data specifically identifies the traits of [[concept-ambitious-entrepreneurs]] (the **18%** expecting to hire 20+ employees) and their disproportionately high intent to adopt AI (**87%**) versus broader small-business averages — underpinning [[claim-ambitious-ai-adoption]], [[claim-ambitious-innovation-rate]], and [[claim-ai-apprehension-metrics]].

**Enrichment reference:** Canonical site gemconsortium.org; U.S. reporting hosted by Babson College (entrepreneurship.babson.edu, GEM USA 2024–2025). GEM runs the **Adult Population Survey (APS)** and **National Expert Survey (NES)** to study entrepreneurial activity, ambitions, and conditions across economies, and explicitly tracks growth expectations (including expected five-year job creation) — the basis for segmenting "high-growth" / ambitious founders. Its 2025/2026 global report introduces the **"AI readiness gap"** and **"two-tier entrepreneurial economy"** language central to this vault's thesis. Note: several specific figures the article attributes to GEM (18%, 4×, 87%, >90%, the 88/84/81/72 barrier percentages, 10% tech-intensive) are **not** directly visible in public GEM summaries and appear to come from the authors' analysis of GEM microdata.