---
title: "Size Matters (And You're Probably Doing AI Wrong)"
description: "5 source-backed AI claims from Size Matters (And You're Probably Doing AI Wrong), with key statistics, context, and the original AI Adopters Club source."
url: "https://kbanc.com/claims-library/size-matters-are-you-doing-ai-wrong-for-your-company"
source: "https://aiadopters.club/p/size-matters-and-youre-probably-doing"
date: "2025-05-31"
topics: ["strategy", "business", "implementation"]
generated: "2026-08-31"
---

# Size Matters (And You're Probably Doing AI Wrong)

By Kamil Banc | May 31, 2025

## Claims

1. **AI Abandonment Surges** (source summary): 42% of companies are now abandoning most of their AI initiatives, up from 17%.
2. **Training Lags Adoption** (source summary): 75% of companies are adopting AI, but only 31% provide any training to their workforce.
3. **Gender Gap in AI Skills** (source summary): There is a 42 percentage point gender gap in AI skills training between men and women.
4. **Federal AI Regulations Double** (source summary): US federal agencies introduced 59 AI-related regulations in 2024, more than double the 29 issued in 2023.
5. **SME Proof-of-Concept Rules** (Kamil's interpretation): SMEs should run 90-day proof-of-concepts that must deliver 3:1 ROI and integrate within 30 days.

## Evidence

### Quote
> "That's not a technology problem—that's a strategy problem." - Kamil Banc

### Key Statistics
- **42% of companies are abandoning most AI initiatives, up from 17% the previous year**: Signals that AI failure is a strategy problem rather than a technology problem, per S&P Global data reported by CIO Dive.
- **75% of companies adopt AI but only 31% provide workforce training**: The training gap explains why adoption stalls even as AI implementation accelerates across industries.
- **Only around 1% of large enterprises consider their AI deployment mature**: Despite heavy investment, virtually no enterprises have fully integrated AI into workflows, highlighting the scale of execution failure.
- **Enterprise AI solutions can exceed $500,000 versus roughly $10,000 for solopreneur projects**: A 50x cost difference underscores why organizational size must dictate AI strategy and tooling choices.

## Context
The article synthesizes industry research, government data, and practitioner experience to argue that AI adoption fails when organizations copy playbooks designed for a different organizational size. Kamil Banc segments recommendations across four contexts—solopreneurs, SMEs, enterprises, and government—each with distinct cost ranges, integration requirements, and success metrics. Practitioners can apply the framework by matching their AI investments to their actual scale: solos automate routine tasks cheaply, SMEs demand native integrations and fast proof-of-concepts, enterprises build governance and MLOps infrastructure, and public sector teams prioritize compliance and public trust. The universal principles of data quality, security, workforce readiness, and ethics apply regardless of size.

## Source
- Original: [Size Matters (And You're Probably Doing AI Wrong)](https://aiadopters.club/p/size-matters-and-youre-probably-doing)
- Cite: kbanc.com/claims-library/size-matters-are-you-doing-ai-wrong-for-your-company

## Primary Evidence
- [42% of companies are now abandoning most of their AI initiatives](https://www.ciodive.com/news/AI-project-fail-data-SPGlobal/742590/) (ciodive.com; supports claim 1)
- [75% of companies are adopting AI, but only 31% provide any training](https://www.hrdive.com/news/ai-use-increasing-at-work-training-lags-behind/744097/) (hrdive.com; supports claim 2)
- [42 percentage point gender gap](https://www.randstad.com/press/2024/ai-skills-gap-widens/) (randstad.com; supports claim 3)
- [US federal agencies introduced 59 AI-related regulations in 2024](https://hai.stanford.edu/ai-index/2025-ai-index-report) (hai.stanford.edu; supports claim 4)