Most organisations still run on ideas built for a world where machines couldn’t replace people. AI has ended that bargain. Theory X, utilisation targets, the tyranny of the plan: paradigms that once merely capped what a transformation could reach have turned lethal. What’s needed now isn’t more consulting, or more AI on top of the old paradigm, but coaching of a kind that refuses to shortcut, and a community to make the crossing with. No leader whose paradigm is dying makes that passage alone.
Come Prepared to Die
An Engineering Leader’s Field Guide to the Leadership Paradigms AI Is Exposing
Serialising now, two chapters a week here and on LinkedIn; the serialisation finishes in early September 2026. The death in the title is the old leadership paradigm and the identity built on it. Each axis chapter stands alone; if you’re new, start with chapter 1 below.
Want the whole argument first? Read the essay that became the book, the core ideas end to end, about a 30-minute read.
Come Prepared to Die: An Engineering Leader’s Field Guide to the Leadership Paradigms AI Is Exposing
Chapter 1 of Come Prepared to Die. Someone will soon offer your service as software. The old you will have to die along with the way you provide your service today.
Invisible paradigms and a practice that survives
Chapter 2 of Come Prepared to Die. You decide through your paradigm, not with it, so you can't see it. The practice that makes it visible: the mirror, the Immunity Map, and the double-loop move.
AI as productivity layer vs AI as impetus for org redesign
Chapter 3 of Come Prepared to Die. Is AI a productivity layer you bolt onto the org you have, or the reason to redesign it? The cheapest mistake is the wrong tool; the expensive one is the wrong org.
Utilisation vs flow
Chapter 4 of Come Prepared to Die. Keeping everyone busy feels like good management. In knowledge work it quietly makes the whole system slower, and the maths takes five minutes to teach.
Espoused theory vs theory-in-use (Model I vs Model II)
Chapter 5 of Come Prepared to Die. The gap between what a leader says they value and what they do under pressure is the one axis you cannot self-diagnose. Here is how to close it.
Pushing people vs changing the conditions
Chapter 6 of Come Prepared to Die. The behaviour you keep failing to install isn't a people problem. It's punished by a loop in the conditions you designed. Stop pushing; change the loop.
Plan as commitment vs plan as hypothesis
Chapter 7 of Come Prepared to Die. When plan and reality disagree, most leaders load one reading: someone didn't try hard enough. The other says the plan was a hypothesis and the gap is data.
Local optima vs system constraint
Chapter 8 of Come Prepared to Die. Improve every part and you can still wreck the whole. Performance is not the sum of the parts; it is set by the one constraint that governs the system.
Output vs outcome
Chapter 9 of Come Prepared to Die. You shipped more this quarter than last, and your customers are no better off. Which number is the work actually being judged on?
Attached to outcome vs attached to inquiry
Chapter 10 of Come Prepared to Die. You defended a decision after it failed. But the decision was a hypothesis, and a hypothesis that fails is data. What you ultimately defended wasn't the decision, it was your identity. Reading the result and protecting yourself are two different jobs, and the second one eats the first.
Just This
Every framework in this book is a tool for contact with what is, and a trap the moment you obey it instead of using it.
Socialised vs self-authoring vs self-transforming
Chapter 12 of Come Prepared to Die. Robert Kegan's three developmental stages, and the capacity that lets a leader disagree with a confident voice, including an AI's.
Analysis vs recognition
You list five options, score them against criteria, and pick the highest scoring. The experienced operator already knew what option to choose, their skill long since dropped below conscious thought. You're slower and you're no more accurate. Nothing is wrong with the analytical method; it was simply aimed at the wrong decision. Chapter 12 named [...]
