The detrimental cost of scaling too fast

Greg Keith’s Scaling Instability Curve warns that rapid AI rollout often outpaces architectural maturity and governance, causing escalating costs, blurred ownership, and slower deployments. McKinsey reports 44% of firms now scale AI enterprise-wide, yet MIT finds 95% of generative-AI pilots deliver no measurable bottom-line impact, highlighting the gap between adoption speed and necessary organizational change.