Come Prepared to Die: Your Paradigms Were Survivable. AI Makes Them Lethal.

TL;DR: The paradigms most organisations run on were survivable when machines couldn’t replace people. AI changes that. Almost every transformation of the past several decades has been structurally capped at what the leader’s paradigms permit, and the paradigms that got leaders here—Theory X, utilisation, plan-tyranny, and others—are now lethal rather than merely sub-optimal. The work that’s needed is neither more consulting nor more AI on top of the existing paradigm. It is coaching of a particular depth—rooted in presence and refusal to shortcut—held inside a support community, because leaders at the level of paradigm-death are moving through a rite of passage that cannot be done alone. This essay is the structural argument for why, and a practitioner stance for what comes next.

NB: I am standing on the shoulders of many giants and this essay is a small increment upon them. Most of this work is not original in isolation, but I believe the synthesis is. By the end you’ll know what to do—though not necessarily how to do it—and who to turn to for help. This work cannot be done alone from within the existing paradigms and it takes more than a typical consultant’s help. Who’s in?

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1. The slow dawning

I did not have a single clarifying event. Drift, in Dekker’s sense. The cultural shorthand is the boiling frog: wrong about frogs, folk-right about this.

The clearest event landed a few weeks ago. I gave Claude a piece of work that would have taken me several months: regenerating around 350 reference documents I maintain, using a nine-pass ingestion protocol that audits each output against the original source. A day and a half later it was done, at roughly 1.5 errors per 100 pages by Claude’s own count, likely fewer than I would have produced myself.

Christophe Louvion had said it to me in his usual one-line form a bit earlier: the LLM does not have to be totally correct, it just has to work at least as well as the average human. I heard the sentence then and not yet felt it until now.

I have spent much of my life relying on intellect and ways of seeing the world for protection in a volatile, uncertain, complex, and ambiguous world. Now, faced with my vulnerability—our vulnerability—I am left with a choice: keep trying the same approach and die of exhaustion, or give up and attend to what is here. I wrote about that side of the passage in Just This, also on LinkedIn, earlier this month.

Like most of us, I have been here before in smaller versions. Serious adverse childhood experiences. A father, diagnosed with cancer, whom I could not visit for most of his last two years because of New Zealand’s COVID-era travel restrictions. Each of those was a death and rebirth in its own way.

My life at the moment is a crucible of a chrysalis. This is not a phase I can exit by reading the right things or seeing a therapist for a year or two. It requires a change in identity.

My Alētheia coaching teacher, Steve March, named the larger register on a coaching call this month. Sometimes we get lazy, he said, because we think tomorrow will look more like yesterday than something different. Six months from now, a year from now, we may be living in a different sort of world.

I’ve also started to read Thomas Moore’s Dark Nights of the Soul: A Guide to Finding Your Way Through Life’s Ordeals, in which he posits that these moments are more like a stage in alchemy than an obstacle to happiness. This has been unusually steadying.

The version of the recoil I have been living, somewhere between Steve’s call and Moore’s insight, is the experience of waking on an ordinary morning to discover that the world has fundamentally shifted and appears the same. The not-knowing is the anxious thing. There is nobody I can turn to who has been in this context before, because none of us have. A crisis is a clarity call, a moment to wake up and change our paradigms. It’s time for us frogs to jump out of the boiling pot. The water has been getting hotter for decades—more volatile, uncertain, complex, ambiguous—and AI is the rolling boil.

Some version of that context is probably what brought you here, whether you are in crisis or have the foresight to see one coming. The work of transforming organisations and the work of transforming lives are not different questions.

2. The 10% ceiling

Almost every Agile transformation of the past 25 years has failed relative to what its framers intended. I have a 20-plus-year career in this work. I led transformations I am proud of, and I participated in or led others I called meaningful change at the time and now read more soberly. None have fully met my aspirations. In some, it might be that the only real success was inoculating the rank-and-file leadership I could access against cargo-cult behaviours, even if I could not shift the broader organisation.

Craig Larman noted in his Certified LeSS Practitioner (CLP) course that where transformation does (rarely) succeed, it lasts at most seven years before a change in executive leadership rewinds it. If a transformation looks like a longer success than that, the leaders and their consultants are likely lying to themselves about what has actually changed.

Most consultants work at what Peter Block calls the content level: technical recommendations, frameworks, deliverables the manager can absorb without changing how the manager sees themselves or their organisation. There is also an affective level: trust, power, identity, the relationship between consultant and client and between leader and led. The content level is where consultants are trained. The affective level is where paradigm-change has to happen. Most consultants will not work at the affective level because it threatens the consultant’s position as much as the manager’s. Consultant and manager collude on keeping it that way. Block names the collusion: too often we collude with the client in pretending that organizations are not political but solely rational.

Ronald Heifetz, later with Linsky and Grashow, names the same gap structurally. Technical problems have known solutions inside current authority and expertise; adaptive challenges require changes in values, beliefs, roles, and relationships, and the most common failure of leadership is applying technical fixes when the work is actually adaptive. The 10% ceiling is what consulting does when it stays inside technical mode and the work is adaptive.

Robert Kegan and Lisa Lahey give the gap its mechanism. Change rarely fails for lack of sincerity or willpower. It fails because we mean both things at once: a sincere commitment to the goal, and a hidden countervailing commitment to self-protection, sustained by big assumptions held as fact. The leader’s paradigm is exactly this kind of immune system, and it is not weak or sloppy; it is a brilliantly designed protective architecture, built at a time that may no longer fit.

Jerry Weinberg turned the boundary into practical advice: Never promise more than 10% improvement, because most people can successfully absorb 10% into their psychological category of “no problem.” Anything more, however, would be embarrassing if the consultant succeeded. The figure has held for forty years, not because it is empirically calibrated, but because it is the boundary at which the consultant does not threaten the manager’s paradigm. Block, Heifetz, and Kegan-Lahey describe the same boundary from three angles: Block from the consultant’s side of the collusion, Heifetz from the kind of work the boundary excludes, Kegan-Lahey from the immune mechanism that holds it in place. Weinberg’s 10% is where the four lines meet.

Alexey Krivitsky, Craig Larman, and Roland Flemm, in their excellent 10X Org, return to Weinberg’s rule and argue we cannot afford the ceiling any longer. I think they are right.

Eli Goldratt, in The Choice, made the cognate cut 27 years after Block. He named four obstacles that keep people from clear thinking. People believe reality is complex; conflicts are a given; other people are to blame; they already know. These are paradigm-level obstacles, not technical barriers better methods could remove. They are the fundamental orientations a person takes toward reality itself. Goldratt’s working assumption, what he calls Inherent Simplicity, is that reality, any part of reality, is governed by very few elements, and that any existing conflict can be eliminated, if the person looking is willing to set aside the four obstacles. Almost no leader is. The four obstacles are how the leader’s paradigm protects itself.

The aviation version has been visible for decades. Gladwell’s popular reading of Korean Air Flight 801 placed the cause inside the Korean language’s grammaticalised speech levels. The harder reading that the NTSB stopped short of is that linguistic deference made the gradient more visible without causing it. The cockpit voice recorder shows the first officer and flight engineer questioned the captain about the glideslope and registered alarm at the GPWS callouts, but never escalated to a clear directive. They were correct on the merits, and tentative in the framing. The first officer finally called for a missed approach about seven seconds before the aircraft hit Nimitz Hill. The crash killed 228 people; one further survivor died later.

The deep variable was the steepness of the authority gradient, not the grammar. Aviation has spent four-plus decades engineering the gradient down through Crew Resource Management. Knowledge-worker organisations mostly haven’t, which is why the same dynamic still shows up in retrospectives, failed product launches, unspoken concerns about a CEO’s pet project, and board rooms where everyone knew the strategy was wrong and nobody said it directly enough. Amy Edmondson’s nearly three decades of psychological-safety research document the boardroom version of the gradient.

Block’s ceiling, Heifetz’s adaptive challenge, Kegan-Lahey’s immune system, and the cockpit’s authority gradient are all describing the same ceiling from four different angles. The cockpit version has been investigated, regulated, and partly fixed; lives so visibly at stake make complacency hard. The boardroom version has not meaningfully changed. The asymmetry is the explanation: the diffuse, statistical harm of a misfit paradigm at scale is not as visceral as a plane crash, even when its aggregate cost is larger. Visible mortality forced aviation to engineer the cockpit’s gradient down. Mortality, in indirect and slower form, is now visible in the boardroom too. AI is what is making it as visible as a plane with all of its engines on fire, the early smouldering not recognised soon enough because the plane still flew.

Thus, almost every transformation of the past several decades has been structurally capped at the boundary the leader’s paradigm permits. Not because of bad execution. Not because Agile or Lean or DevOps were wrong. Because the leader’s paradigm could not be approached, and the consultants in the room either could not—or would not—approach it. This is neither the leader’s nor the consultant’s fault, but it is our shared responsibility.

Almost every transformation of the past several decades has been structurally capped at the boundary the leader’s paradigm permits.

3. Some misfit paradigms

What follows is a partial catalogue for complex knowledge work: creative, ambiguous, volatile. A help-desk operation can run on Theory X with utilisation targets and not be in crisis, even if it is a pale shadow of what is possible. The paradigms below break down where ambiguity, learning, and human judgement are load-bearing. These were the right paradigms when the water was cooler, when the work was more predictable, the customers more uniform, the timelines longer. The water has been heating for fifty years; AI is the moment it boils. Mary Poppendieck named several, plan-tyranny most pointedly. Each is still operative inside most organisations I work with. To declare them as immutable or a commercial reality is practically a thought-terminating cliché.

AI is the moment our existing paradigms have become terminal, not merely sub-optimal.

Theory X. Douglas McGregor’s distinction between Theory X (workers cannot be trusted; require coercion and control) and Theory Y (work can be as natural as play; people seek responsibility and meaning) is 66 years old. Most organisations still operate on Theory X assumptions even when leadership quotes Theory Y. Bas Vodde taught me an exercise in his CLP course that catches this in flight. Draw a horizontal line. Theory X to the left, Theory Y to the right. Sticky-notes above the line for people’s instincts and behaviours, below for the structure and processes they are operating inside. If you ran this exercise, what would you see in your org? In our course, we all saw lip-service Theory Y, structural Theory X. I’ve not seen an exception yet.

High utilisation, compounded with hyper-specialisation. Donald Reinertsen’s The Principles of Product Development Flow gathers half a century of queueing theory to make a single point. Keep-everyone-busy makes everything slower. High utilisation produces queues, queues produce delay, delay produces variability, variability produces yet more queueing. The 10x organisation literature and Org Topologies catalogue the second half of the same dysfunction. Treating people as interchangeable resources—meat widgets, in Larman’s words—slotted into functional silos, produces dependencies, hand-offs, and waiting times. The coordination cost scales worse than the labour cost it was meant to optimise. Hyper-specialisation creates more queues for value to flow through; utilisation makes each queue at least an order of magnitude longer. The two compound.

The tyranny of “the plan.” Mary Poppendieck named this one and I have not found a better name for it. PERT charts were invented for the Polaris submarine programme in the late 1950s, not because PERT worked, but because Rear Admiral Raborn needed something he could show Congress to keep an eight-year programme funded across multiple election cycles. The planning grammar of the modern project-management profession was built on top. Harvey Sapolsky’s 1972 history of the programme confirms the bureaucratic reading: the technical officers bypassed PERT, the contractors considered it worthless, and the charts functioned as a façade for the funders. The façade became the doctrine, and a generation of project-management training, PMI’s included, was built on top of it.

The mechanism the doctrine encodes is straightforward. You decompose the work, sum the estimates, and, as Poppendieck puts it: bingo, there’s your schedule. You manage to it. When reality predictably diverges, the planning paradigm has only one reading ready: someone failed to try hard enough. The alternative reading, that the plan was merely a hypothesis and the divergence is useful information, is not structurally available. Variance-from-plan is the signal; conformance is the definition of success; and the harder people try to execute a wrong plan, the less the organisation learns about why it is wrong. This is Theory X dressed up as project management.

Other paradigms warrant the same examination, this list is not exhaustive. The smart-technocrat reflex. Konosuke Matsushita warned Western managers in 1985 that “the intelligence of a few technocrats has become totally inadequate.” AI now offers an industrialised version of the same paradigm. Leader-follower hierarchies, the assumption-of-conflict between management and workers, the myth of the heroic individual, bonus and incentive cultures that crowd out intrinsic motivation. The lineage runs from Senge through Argyris, Schein, Kegan, and Heifetz; each has been visible for decades, written about in books still in print, named long before AI, and is now turned terminal by it.

Donella Meadows placed the power to transcend paradigms at the top of her catalogue of leverage points, above paradigms themselves, above goals, above information flows. She wrote: there are no cheap tickets to mastery. You have to work hard at it, whether that means rigorously analyzing a system or rigorously casting off your own paradigms and throwing yourself into the humility of Not Knowing.

These paradigms aren’t wrong everywhere. Most have contexts where they fit. If a leader ran one for thirty years it isn’t because they were stupid, it’s because the context rewarded it. Alexey Krivitsky, Craig Larman, and Roland Flemm cemented the historical case for me via the canonical example, foregrounded in 10X Org: Adam Smith’s pin factory (1776), where ten workers using division of labour produced 48,000 pins a day against a solo baseline of one to twenty per worker, a roughly 480-fold gain. The reason it worked is that a pin factory operates in a low-variability environment. Every pin is identical to the last, so hyper-specialisation and high utilisation compound into vast productivity rather than into queues. Mary Poppendieck made the same move from the other direction: in manufacturing, variation is the enemy; in service, variation is required because customer expectations differ .The paradigms aren’t wrong; they were lifted across a domain boundary they did not fit. Hammers work for nails—not screws—but they are still useful tools.

When the underlying paradigm remains the same, performance drifts back toward the old baseline. None of the structural redesign survives the leader’s unreconsidered paradigm. None of which is to fault leaders for having those paradigms; the paradigms got most of them their careers. They worked in cooler water.

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4. Why the ceiling holds: paradigm-change is identity-death

The leader can see the catalogue intellectually. So why doesn’t the leader simply move? Ram Dass put the answer plainly in Be Here Now, 55 years ago. In the process you must die. This is not a physical death, but it is the end of the world as we know it.

Changing one’s paradigm is deeply vulnerable because it is a shift at the identity level for most of us. If I am not the leader with the answer, am I powerless? The paradigm is the conventional self. To change it, even partially, is something close to ego-death. Serious contemplative practitioners can take years to intellectually understand they are not their thoughts, and even longer to embody it. Asking a senior leader to do the same on a fixed “transformation project” timeline in the midst of their daily work is not a practical ask.

The self that built the career, the self the paycheque pays. All of it is held together by the collection of paradigms and thoughts we call ourselves. Jennifer Garvey-Berger names the same trap directly: shackled to who you are now, you can’t reach for who you’ll be next. Ram Dass said the same in Be Here Now: it’s only when caterpillarness is done that one starts to be a butterfly. And that again is part of this paradox: you cannot rip away caterpillarness. The whole trip occurs in an unfolding process under which you have no control. Chris Argyris named the same thing from the cognitive side in the 1970s: single-loop learning changes behaviour while leaving the underlying assumptions intact, and the assumptions don’t move because they are the self.

W. Edwards Deming named the pace bluntly: this work is not fast and it cannot be bought, only facilitated. The same lineage carries another line: come yourself, or send no one. It’s associated, possibly apocryphally, with Deming’s reply to the Nashua Corporation CEO who asked to learn his methods through a delegate. The structural point holds either way. Most leaders will send someone, often their VPs. The transformation never quite arrives, because the ultimate leader did not.

The CEO is running paradigms that are not fit for what AI is making general. There’s no malice nor stupidity here; this is structural. The conviction is communal: most of their peers think identically. Who goes out on that ledge alone? Beatrice Bruteau named this in The Psychic Grid: the world we know is one we collectively project, and few of us can step outside the projection alone. The leader got to the corner office doing what they are doing, and by all comparisons they are doing fine, because the floor is just that low.

5. What AI actually changes

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The capability picture

The actuarial reality. It is not that self-driving cars do not make mistakes. It is that they make fewer than humans on average, even when the mistakes they do make look horrifyingly dumb by human standards: two different brands of driverless cars drove into clearly marked wet cement. No human driver paying attention does this. By January 2025, Waymo had logged 56.7 million rider-only miles, with an 85% reduction in suspected serious-injury crashes and a 96% reduction in injury-involving intersection crashes versus aligned human benchmarks (Kusano et al., Traffic Injury Prevention, 2025). The actuaries know what they are looking at. LLMs are at the same threshold for cognitive work. “Computer” was a human job title for over 300 years before machines inherited the word. Actuaries see this in driverless cars. Christophe saw it with AI and many others are catching up.

The augmentation cost. Lisanne Bainbridge named this in 1983: automation takes the easy parts of the operator’s task and leaves the hard parts unsupported, then asks the operator to step in when the system fails. The operators most degraded by automation are the ones expected to catch what it misses. A healthy person chooses an electric scooter for short distances because it’s faster with less effort. They lose the muscles and the cardiovascular fitness, then the proprioceptive intelligence, then ultimately the sense of their own embodied capacity. Twenty years on, the scooter is no longer a choice; the body cannot make the trip. We are doing this with cognition, deliberately, at scale. Lee and colleagues at Microsoft Research and Carnegie Mellon, in an early-2025 survey of 319 knowledge workers, found confidence in AI tracked inversely with critical thinking. An MIT Media Lab team running EEG sessions on LLM-assisted essay writers (Your Brain on ChatGPT, 2025, n=54) recorded reduced neural connectivity, poorer recall of the writers’ own prose, and homogenised output among heavy users. A 666-person study by Gerlich in Societies the same year found AI-use frequency inversely correlated with critical-thinking scores, sharpest among the youngest. These studies measure averages. For a smaller group of users who treat AI as a thinking partner with critical engagement—who push back, ask for sources, and refuse first answers—the opposite may hold. The displacement of cognition likely tracks the manner of use, not the tool.

The paradigm picture

Universalisability. The claim most AI commentary ducks. Imagine a single firm that has built extraordinary value by replacing knowledge workers with agents. Stable, profitable, defensible, locally optimal. The fabled 1-person, $1B company. Now universalise: what happens if every firm does the same? The aggregate is that the workers have no wages to acquire the extraordinary value the firms are producing. The firms have built a position that destroys the conditions for their own continuation.

Kant’s categorical imperative—act only according to that maxim whereby you can at the same time will that it should become a universal law—is not only moral fashion. It is a stress-test for how a position holds when universal. The corporate AI position fails the test, and most leaders deploying it know it fails. The game theory says they must attempt it anyway. Each firm is acting rationally; the aggregate is collectively suicidal. Hemenway Falk and Tsoukalas formalised this as a fallacy-of-composition with a demand externality in The AI Layoff Trap (arXiv, March 2026). The same pattern shows up at the supplier level: a handful of frontier-model providers concentrating strategic power across the entire knowledge-work economy, with each firm rationally choosing dependency and the aggregate producing a single chokepoint no firm intended to create. It is the structural shape of every commons collapse, and it is happening now in the most consequential industry in the world. The leaders who weather this best are the ones who can hold, simultaneously, that they must compete and that the competition has a destination none of them want to arrive at.

Each firm is acting rationally; the aggregate is collectively suicidal.

The disintegrated moral structure. When IBM was the dominant computing firm, it held a moral floor: the line attributed to a 1979 IBM training slide, A computer can never be held accountable, therefore a computer must never make a management decision. That floor has been honoured in most large firms for most of my professional life. The floor has disintegrated. Daron Acemoglu’s The Simple Macroeconomics of AI (2024) gives the disintegration a quantified line: the bad-task externalities of AI (manipulation, deepfake, security-arms-race revenue) could appear to raise GDP by about 2% while reducing welfare by roughly 0.72% in consumption-equivalent terms. Small in absolute terms; large as a direction. The floor held when machines could not replace people. Now they can, partially.

LLMs drown out the source on leader paradigms. Two of Craig Larman’s laws of organisational behaviour apply directly to what AI is now industrialising. Corollary 2 is the broad claim: any change initiative will be reduced to redefining or overloading the new terminology to mean basically the same as status quo. Corollary 4 is the specific mechanism: displaced managers and single-specialists become “coaches/trainers” for the change, frequently reinforcing the terminology hijacking in their writing. My own corollary, built on Larman’s laws and worked through over a few years: the original insights of any change movement, Agile, Lean, DevOps, were always a small minority of the corpus, and the training data is dominated by that consultant-derivative watering-down. When an LLM writes on these topics, it regresses to the mode, not the truth. If almost everyone writing about Scrum Masters is describing project managers, the model will define a Scrum Master as a project manager, no matter what Sutherland and Schwaber intended. An LLM has statistics, not discernment. Chris Argyris and Diana McLain Smith named the human analogue half a century ago: defensive routines persist because we support others by telling them what they want to hear. Put those together and the leader-paradigm-specific version follows.

AI does not solve the leader-context-paradigm mismatch. It sells it back to you. The model is not just regressing to consultant content in general; it is codifying the dominant worldview and feeding it back to this particular leader with affirmation, in the precise places where critical thinking is most needed. Most leaders deploying agents at scale are buying a tool that codifies the paradigm they need to leave, with a fawning persona that promotes continued usage rather than critical thinking.

I’ve tested this directly. Asking Claude “what is Agile?” produces consultant-derivative ceremonies-and-frameworks. Even when I asked for research, Claude told me the question didn’t require it. So I built a different retrieval architecture (soon to be open-sourced under MIT) that pre-projects source references onto specific task domains at ingestion, under a nine-pass protocol with a source-only audit gating every output. Asking the same model the same question—this time grounded in that library—produced something else entirely: Agile as a learning discipline, grounded in the Poppendiecks, anchored to Theory Y via Larman, with the AI-era constraint migration named explicitly. Totally different paradigms.

AI does not solve the leader-context-paradigm mismatch. It sells it back to you.

The mētis ceiling. James Scott’s distinction between techne (codifiable, transferable, formalised knowledge) and mētis (situated, practical, implicit, partly tacit knowledge) marks another structural limit. Every functional organisation runs on more mētis than its leaders know. The LLM cannot acquire mētis because mētis is not in the corpus. Tooling-side discussions of this limit have run since 2023. The paradigm-level framing is different: mētis is a structural ceiling on how much paradigm-misfit AI can mask before the system starts to fail. Current discussion of context and harness engineering is correct as far as it goes; the harder question is whether any harness can be sufficient if it cannot contain the human’s mētis. I do not think it can. The AI optimist’s answer is that mētis will eventually be encoded; the optimist’s honest answer is that we do not know how, and the encoding might not survive being made explicit. Following Eugene Gendlin, I am less swayed: you can say and think a lot for years, knowing all the while that you aren’t touching what is implied. What does a strawberry taste like? It can manipulate text about the felt sense; it cannot register the implicit in its own body, because it has no body.

Why the productivity-overwhelm objection doesn’t escape the ceiling. The strongest objection runs roughly like this: AI productivity gains will be so large, with some forecasts running to 100x, that the firms displacing workers can absorb the political backlash with the wealth they capture. Harry Holzer documents that demand effects have historically absorbed automation-driven productivity gains across the Luddites, 1950s computerisation, and China outsourcing; forecasters consistently underweight the income-and-spending response. (Daniel Vacanti shows arrival rate routinely exceeds completion rate in real organisations; the gap is often two to four times, partly because adding capacity induces its own demand.) Put together: a 2-10x AI productivity gain just clears the present backlog. It does not displace the workforce that was generating, prioritising, and resolving the work in the first place. The displacement story confuses output volume with employment ceiling. Any one of the paradigm shifts catalogued above (abandoning utilisation, breaking hyper-specialisation, treating plans as hypotheses) could produce 2-10x on its own, and has, in the organisations that have actually done it. The AI-only equilibrium does not hold against the same queueing economics that broke the utilisation paradigm. The ceiling moves; it does not vanish. (The honest caveat: if knowledge-worker labour displaces faster than the political economy can absorb, we will be in a crisis larger than any single firm can navigate, and none of this matters at the system level. That is its own essay.)

6. The work that is needed

Steve March offered a frame on a recent coaching call: what if none of it was wasted? Not the years inside the misfit paradigms. Not the transformations that didn’t take. Not the decades of running a playbook that no longer fits. The path is fits and starts, mistakes, steps backward. The life lived exactly as it has been lived up to this moment is the doorway. There is no other.

The catch is the slow work. The opportunity, paradoxically, is also the slow work: a once-in-a-career window for the leaders who can refuse the false quick win and let caterpillarness happen.

On the practitioner side, the diagnostic craft survives the passage: named-pattern recognition, harness work that runs without me in the room, frameworks that let mid-tier authors do leadership-grade systemic learning. What does not transfer to the harness is the rest: two solid days of in-person workshop with a team produces something in their bodies and in the room between them that no agent can reproduce in years of asynchronous work. The agent isn’t bad at it. The thing transmitted in the room is not made of words. The agent works in words. The room works in something more.

An atlas has value. An atlas does not replace a year spent living and travelling in a foreign country.

The figure

What is needed. We are still mentors and diagnosticians, still in the trades we have spent careers learning. And we are something else. We are coaches who can hold presence through a rite of passage.

Dave Snowden has critiqued industrial-level coaching that reduces vertical-development frameworks to platitudes divorced from complexity, and insists coaching is neither a necessary nor a sufficient condition to enable change at the organisational level. I take the critique seriously. The work I am pressing here is not at the organisational level Snowden is critiquing. It is at the individual leader level, relational, particular, and refuses scaling.

What is needed, at the individual leader level, is real therapeutic and contemplative-developmental practice applied to paradigm-death rather than to personality. Not as a new technology, but as support for unfolding that the consulting role does not provide.

Three things are required: a coach of particular depth, a support system to hold you through the passage, and peers aligned with the new paradigms that will sustain your shift. A coach of particular depth does not solve the dying. They do not replace what is being lost. This requires someone who has themselves gone through these paradigm shifts—or who never carried the outdated paradigms in the first place. They bring practical skill and the things skill cannot carry, and refuse to shortcut what cannot be shortcut. What makes them the right coach is the capacity to hold the whole human, mind, body, spirit, through the passage. The support system is broader: friends, family, community, anyone who can be present with you as you dissolve and re-coagulate. The peers are specific: people already living from the new paradigms, whose presence makes the shift feel inhabitable rather than theoretical.

Steve March, building on Reinhard Stelter, names four generations of coaching method (see The Unfolding of Alētheia Coaching, 2018); coaching at the level of paradigm-death requires the top two: process to navigate the experiential field as it shifts, and presence to remain in contact with the dissolution itself. Most coaches—and I mean coaches, not Agile coaches—are trained at the first three generations. Fewer have training in the contemplative fourth. I often work at the fourth.

The org design sibling

Crossing the passage is necessary, not sufficient. Even when a leader has done the work, the organisation cannot readily change. Build a parallel organisation alongside the legacy one: Galbraith’s Star Model—structure, rewards, people, strategy, and process—all realigned, all from day one. Larman and Vodde made the case for this in Large-Scale Scrum (LeSS). The point is not that the parallel organisation survives reabsorption. The point is that it eventually replaces the existing one. Which is why most large organisations cannot tolerate it. If the company does not create a parallel organisation for its line of business, a Y Combinator startup will create a perpendicular one: running across its assumptions, claiming the same customers from a different vector entirely. Krivitsky, Larman, and Flemm’s 10X Org (2026) takes the argument forward into AI-era operating-model and topology design, the org design sibling to the practitioner work this essay is concerned with. 10X Org operates at the level of strategy and structure; what I am adding sits one layer beneath, at the level of paradigm. Paradigms must change first.

The rite of passage

The rite-of-passage requirement is not optional. Karla McLaren, in The Language of Emotions, draws on mythologist Michael Meade to name three indigenous stages of initiation: separation from the known world, ordeal, and recognition-and-welcome-back. Modern non-indigenous cultures rarely complete the welcome-back. We send people through separation and ordeal and abandon them at the threshold of return. Trauma cycles between separation and ordeal indefinitely until the welcome-back happens. The ordeal also humbles us, so we can drop our hardened patterns.

The closest modern industrial example I know is NUMMI. Toyota taught its Production System to GM through the NUMMI joint venture from December 1984 onwards, with full transparency. (GM had closed the Fremont plant in 1982; NUMMI reopened it two years later as the joint venture.) Ernie Schaefer, the GM plant manager who later tried to replicate NUMMI elsewhere and failed, said it plainly. They never prohibited us from walking through the plant, understanding, even asking questions of some of their key people. I’ve often puzzled over that, why they did that. And I think they recognised we were asking all the wrong questions. We didn’t understand this bigger picture thing. All of our questions were focused on the floor. The assembly plant. What’s happening on the line. That’s not the real issue. The issue is, how do you support that system with all the other functions that have to take place in the organisation? The visible practices on the floor could be copied. The invisible system could not be transplanted into GM’s existing structure.

What GM did right at NUMMI itself, before the failed replications, was the trip. Hearing the Frank Langfitt account in This American Life episode 561, the moment that stays with me is John Shook’s recollection of the goodbye sushi parties at the end of the Japan training rotations: “We had a party, of course. A sushi party… And people were crying on both sides. You had union workers, grizzled old folks that had worked on the plant floor for 30 years, and they were hugging their Japanese counterparts, just absolutely in tears.” The GM workers had been sent away (separation). They had worked alongside Toyota counterparts in a different paradigm for weeks (ordeal). They returned home changed, to a community that received them as changed.

The receiving community at NUMMI was prepared in artefacts too: the Team Member Handbook every worker received on day one opened with a personal welcome letter from Tatsuro Toyoda, defined the Team Leader role operationally as teacher and improvement coordinator, and made mutual trust and the irreplaceability of human judgement recurring themes in its policy pages.

Most leaders who need this passage today will need an analogue of the trip. Not necessarily geographical. The shape: a retreat from day-to-day work; sustained immersion in a different paradigm with skilled accompaniment; return to a community prepared to receive them as changed. Not a vacation. A protected space for dissolving and re-coagulating. A chrysalis. As Ram Dass put it in Be Here Now: it’s only when caterpillarness is done that one starts to be a butterfly. From inside the chrysalis, what is happening is indistinguishable from dying. And it is dying. My hope is that placing this in the ether nudges some leader’s fate closer to the chrysalis.

Few of us in the consulting field are training for the combination this passage requires. The capacity to take one’s own paradigm as an object of inquiry, the developmental shift Kegan calls fourth-order, sometimes fifth, is not common. The lineages this work draws from, contemplative and developmental, are not new. The Tibetan teachings on dying go back centuries. What may be new is their intersection with the modern organisational practice called in when a leader’s paradigm needs to change.

Dying is perfectly safe, downright natural, and necessary, but it is not comfortable.

7. The practitioner: trauma-informed, dark depth, prepared to die

I am writing this from inside my own version of the passage. I can only propose this to you if I have walked it myself. My stepmother is in the ICU, following open-heart surgery and a heart attack that would have killed her had she not already been in a hospital visiting a friend. My mother is in memory care. And yet, alongside all of this, there is some fundamental well-being here. The practice is doing what the practice does.

I am writing this on LinkedIn deliberately. Leaders considering this work, and practitioners who might join me in the field: I want to be findable in both registers. What I want most is an ongoing partnership with leadership willing to examine and shift their paradigms with me.

The trauma-informed register is not incidental. Practitioners who have been through significant trauma and done the work to clean it up have the kind of dark depth Moore writes about in Dark Nights of the Soul. What that gives, in a room where the leader’s paradigm is starting to die, is the capacity to be in contact with the pain rather than look for an exit. I am not trying to change the pain or make it go away. I am learning to experience it as it is, and to meet the self-arising wisdom that comes with contact with all phenomena. That, more than anything technical I have studied, is what the room needs. Steve March frames the same requirement in Alētheia: the coach must do their own inner work, follow the vertical thread of each quality, work through their own blockages, before they can be of use to a client doing the same. A guide is of less use on a mountain they have never climbed.

There is an emotional distance baked into the consultant-leader relationship. Not my circus, not my monkeys. The leader pays the consultant for knowledge; the relationship has a bit of the guru flavour to it, and the smart-technocrat reflex is what that flavour curdles into. My goal, if I may be so vulnerable, is not to be a know-it-all guru. It is to be a dear, close friend who genuinely loves and feels deep compassion for the leader and does not have a change agenda for them, other than to help meet their normal human psychological needs as they unfold in the midst of this crisis. I am not going to lecture. I am going to hold your hand and walk with you as someone you can get messy with. That is what gets beyond the politics: companionship in this passage. This work is so complex none of us can do it alone. Improv jazz takes skill, but the music is not in the virtuosity. It is in the forgetting we exist as virtuosos. Reading the room, hitting the right notes at the right time, watching the bassist and the drummer. Not the conductor. The skilful peer. I have my own musical themes to add. Please jam with me.

The easy claim has to be refused. John Welwood named spiritual bypassing in 1984: meditation as identity, equanimity as armour, I’m sitting with it as a way to not feel it. Steve names the same limit in Alētheia as the Self-Improvement Trap: practice used instrumentally to manage what arises, rather than to meet it. Practice has to evolve as the practitioner does.

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There is no instant pudding, as Deming said. The passage is not fast, nor do we ultimately have meaningful control.

The second step is to find the skilful coach who can be in the room with you, and to build the community that will hold you as you emerge. Not to be that coach to yourself, an impossible ask. The Mahayana and Alētheia schools agree: this work is relational. Nobody is liberated alone. Find the coach, or be the coach in someone else’s passage. Either is good work.

I have no idea where any of this is going. This whole essay could be moot in six months, as Steve suggested it might be. I do not know what to do more than anyone else. I am still learning just this.

May we treat the recoil as an invitation rather than something to be coached out of. May we hold the part of us that built the old paradigm with the same care the work teaches. May we help each other up every time we stumble.

Come prepared to die.

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If this lands and you would like to talk: flick me a note here on LinkedIn. To book directly, visit hi.chrisgagne.com.

Some book links are Amazon affiliate links. If you buy through them I earn a small commission at no cost to you. Primary-source citations (papers, reports, articles) are linked to the original or to free archives.

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Originally published on LinkedIn, 8 May 2026.

Some book links here are Amazon affiliate links; if you buy through them I may earn a small commission, at no cost to you.