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Perspective · Thinking about AI adoption?

Before you spend more on AI

The pilots succeed and the organisation still does not change — that is the trap most adoption stories hit. The reasons are economic, not technical: where the cost actually sits, what it takes to cross from demo to value, and the judgement you stop manufacturing when you automate the work that used to teach it. This arc is the clear-eyed read.

The promise

A clear-eyed read on the economics of adopting AI — including the judgement you quietly spend down as you automate.

01 · What you’re probably seeing

The pilots keep succeeding, and somehow the organisation keeps not changing.

02 · What’s actually going on

It’s an economics problem, not a technology one — and automation quietly bills you in judgement, not just money.

03 · Why it matters

Adopt on evidence, not enthusiasm: account for both halves of the P&L and the apprenticeship you’re automating away.

The Arc

Content7 articles
Duration63 min
TopicsEconomics, Governance
The unity

Adopting AI well is an exercise in evidence and economics, not enthusiasm — and in noticing what you spend down as you automate. Governing those calls deliberately is the Decision Doctrine.

Adoption is not value.

Where this leadsFor leaders making AI decisionsMaking better AI decisionsFollow next →