The AI Adoption Reality Check

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

The Reforge AI Reality Check program^[1] 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

• 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]
• 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.