The detrimental cost of scaling too fast
TL;DR
44% of organizations are scaling AI enterprise-wide (McKinsey), yet 95% of generative AI pilots show no measurable bottom-line impact (MIT). Greg Keith’s Scaling Instability Curve framework marks the point where delivery velocity outpaces architectural maturity. He argues organizations become unstable when governance fails to scale alongside technology, and that the first question before any change should be “Why are you doing this?”
AI has crossed a decisive threshold in the enterprise. McKinsey’s 2026 global survey found that 44% of organizations now report scaling AI across the enterprise, up from 38% a year earlier, with the figure reaching 54% among companies generating at least $1 billion in annual revenue. The question facing technology leaders then is whether every organization is ready for the speed AI makes possible.
The warning signs are already visible in the gap between adoption and organizational change. McKinseyfound that workflow redesign has the strongest...
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