The AI architecture decision CIOs delay too long — and pay for later

The excerpt explains how successful systems often expand without revisiting architectural assumptions, leading to increasing importance but decreasing controllability; this growth produces early warning signals such as cost volatility, governance friction, and behavioral uncertainty—particularly for scaling AI systems—rather than describing a security incident.