10 Guidelines for Successfully Scaling AI
CIO, Thursday, October 22nd, 2026
Ten guidelines from conversations with CIOs for moving AI from individual productivity wins to enterprise-scale value.
The article opens with McKinsey data: four in five organizations see individual productivity gains from AI, but only 37% report a positive contribution to EBIT, and AI high performers remain flat at 6%.
Based on conversations with CIOs, it offers ten guidelines for scaling AI, among them encouraging individual experimentation and sharing the results, and using hub-and-spoke participation and self-governance rather than restrictive control.
Organizations should measure actual time savings against perceived savings, and set baselines so employees don't confuse AI activity with delivered value.
Shared learning is presented as the bridge from scattered wins to a scalable AI foundation.