---
id: "claim-ambitious-ai-adoption"
type: "claim"
source_timestamps: ["§ Adoption of AI in Entrepreneurial Businesses"]
tags: ["ai-adoption-rates", "data-analysis"]
related: ["concept-ambitious-entrepreneurs", "contrarian-smb-ai-monolith", "entity-global-entrepreneurship-monitor"]
confidence: "high"
testable: true
speakers: ["Jeffrey P. Shay", "Donna Kelley", "Mahdi Majbouri", "Thomas H. Davenport"]
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"
---
# Ambitious Entrepreneurs Vastly Outpace Broad SMB AI Adoption

**Claim:** There is a massive divergence in AI-adoption intent between average small businesses and ambitious startups. General surveys indicate only **~21% of small businesses** use or plan to use AI in the next two years, whereas [[entity-global-entrepreneurship-monitor]] data reveals that **87% of ambitious entrepreneurs** anticipate AI will be critical to their business model and strategy in the next three years, with **over 90% expecting positive impacts on revenue and growth**.

This is the empirical core of [[concept-ambitious-entrepreneurs]] and the direct evidence for the contrarian reframe [[contrarian-smb-ai-monolith]].

**Confidence: high** (author-stated), **testable: true**.

**Enrichment caveat:** Directionally well-supported — GEM's 2024/2025 and 2025/2026 global reports explicitly identify an **"AI readiness gap"** and describe a **two-tier entrepreneurial economy**; in 19 of 48 economies fewer than one in three new entrepreneurs expect AI to be very important near-term. Babson's GEM USA commentary notes 63% of entrepreneurs already use AI and even more expect it to be critical within three years. However, the **exact percentages (21% vs 87% and >90%) are not directly verifiable** from open reports and likely come from the authors' analysis of a GEM microdata sub-segment. The qualitative segmentation claim is well supported even where the precise numbers are not.