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The cost of moving too slowly on AI — and the cost of moving too fast.

Most leadership teams optimise for one of two fears and ignore the other. Both are expensive.

Too slow

The cost of moving slowly is rarely a single missed launch. It's compounding: competitors learn faster, your best people get restless, and the institutional muscle for shipping AI never develops. By the time the strategy is “ready,” the window has narrowed.

Too fast

The cost of moving too fast is quieter and arrives later — as a pile of half-built pilots, a security incident, or a model decision nobody can explain to a regulator. Speed without guardrails isn't velocity; it's debt.

Responsible pace isn't the average of fast and slow. It's moving quickly on reversible decisions and slowly on irreversible ones.

A simple rule

Sort every decision by how hard it is to undo. Reversible decisions — which use case to pilot, which prompt, which UI — should be made fast and cheaply, because the cost of being wrong is a redo. Irreversible decisions — what data leaves the building, what a model is allowed to act on, what you tell a regulator — deserve real deliberation.

Teams that conflate the two either freeze on everything or gamble on everything. The ones that win move fast where it's safe and slow where it counts.

Missing Corner
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