AI hasn't made leadership easier; it has made the stakes of decision-making much higher.

A fundamental variable in leadership has changed: the cost of trying an idea.

What once required months of budget, hiring, and tooling now takes minutes. A cloud instance, an API call, a no-code workflow. No capital expenditure. No permanent headcount. Just execution.

This isn’t bad. It has democratized creation.

But here's the crisis: When the cost of action collapses, the cost of a bad decision doesn’t disappear—it moves downstream.

AI amplifies this. It makes feasibility studies cheap and prototypes instant. So "decision quality" can no longer be about "can we build it?"

Quality now must mean:

• Second and third-order effects (What does this actually optimize at scale?)

• Systemic and human impact (What behav ...