The Practitioner Thinker Letter

One letter a month, on a world that has reset.

A continuing series of letters on the world’s reset — AI first, because it is the most consequential shift and the most misread. Alongside the letters: points of view and shorter reads that respond to what the world is doing. Every figure computed from a primary source.

The letters so far
The series has an arc — the map first, then the decisions it forces — and it continues monthly. The latest letter sits on top.
Issue ThreeAugust 2026 · leadership · ~18 min read
Leadership in AI
How the role of leaders changes in the AI world.

A decision transforms nothing by itself. Between the board's resolve and the organisation's reality stands the layer of leaders who must carry it — into conditions no one has seen before. This issue is written for them: what a leader stands on when everything they steady themselves against is in motion, the three commitments an institution owes its leaders, and the one thing every leader can do for themselves.

Read Issue Three in full
Issue TwoJuly 2026 · the decision · ~25 min read
Before the Journey: How a Board Decides on AI
The hardest call on the desk, reasoned through.

Should the organisation pursue the AI journey at all, or wait? The second issue offers a structured way of answering — seven dimensions of one decision, from technology and investment to ownership, people, and readiness — with the evidence on both sides, and a board-level readiness scan built to generate the conversations where the real answers live.

Read Issue Two in full
Issue OneJune 2026 · the map · ~22 min read
Everyone is investing in AI. Almost no one is getting value.
What is changing in the world — and how to achieve business outcomes with AI.

Four forces are remaking the global operating system at once — technological, geopolitical, financial, and risk — and they are cascading into one another. The first issue sets out the central argument of the practice: that the reset is not an event to wait out but the new operating condition, and that the gap between AI activity and AI outcome is one of architecture, not technology.

Read Issue One in full
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Alongside the Letter — the reads
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