---
title: The AI Adoption Reality Check | RGM®
url: https://realgrowthmatters.com/learn/frameworks/ai-reality-check/
updated: 2026-06-10
source_html: https://realgrowthmatters.com/learn/frameworks/ai-reality-check/
---

**Original concept & attribution.** This article draws on the Reforge AI Reality Check program[[1]](#sources) which tracks the gap between AI hype and AI reality across strategy, tooling, teams, and process. We've supplemented with publicly cited research and RGM client observations.

## AI is touching everything. The narrative often doesn't match the data.

The Reforge AI Reality Check program[[1]](#sources) tracks the gap between AI hype and AI reality across strategy, tooling, teams, and process. The findings are nuanced — and uncomfortable for both AI maximalists and AI skeptics.

## The data points that matter

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- **Only ~5% of AI initiatives reach production.** An MIT study cited in the Reforge report found the production rate is brutally low. Most pilots stall before reaching customers.[[2]](#sources)
- **Model cost stayed roughly flat for the best models.** Yes, GPT-3.5 became cheaper. But customers expect frontier-class performance, and that performance stayed expensive.
- **Only ~5% of companies are reducing headcount because of AI.** The narrative of mass AI-driven layoffs is mostly narrative. The companies investing most aggressively in AI are hiring more.
- **AI accelerates work that already had clear automation paths.** Rule-bound or pattern-based work adopts fast. Genuinely creative or judgment-heavy work is much slower to adopt.

## What this means strategically

AI is real. It's neither replacing all jobs by next year nor a passing fad.

The strategic posture that fits the data: aggressive experimentation, modest deployment expectations, honest measurement. Experiment with everything. Deploy what proves out. Don't restructure on assumptions that haven't been validated in your context.

Sources & further reading

1. Reforge. *AI Reality Check*. [reforge.com/blog/ai-reality-check](https://www.reforge.com/blog/ai-reality-check)
2. MIT study on AI production rates (cited in Reforge analysis).
3. Anthropic, OpenAI, Google public model capability roadmaps.
4. RGM operator notes 2024–2026.

## Related frameworks

[**AI Disruption Risk · A Four-Factor Diagnostic**

Is your product at risk of AI disruption? Four factors to evaluate honestly.](/learn/frameworks/ai-disruption-risk/)[**Becoming AI-Native · A Framework for Organizational Adoption**

AI-native is an organizational state. The five components that get you there.](/learn/frameworks/coder-framework-ai/)[**Essential PM Skills for the AI Prototyping Era**

AI prototyping compressed build cost to near-zero. Here's the skill stack the modern PM needs.](/learn/frameworks/ai-product-pm-skills/)[**The Expectation Reset · Why AI Demands New Performance Baselines**

AI changes what's possible. Your performance expectations have to reset with it.](/learn/frameworks/expectation-reset-ai/)