The ‘Why’ of this book
Something feels off in the world of work. It is an uneasy, intangible foreboding, a shared premonition that the certainties and reassurances we took for granted just a few years ago are quietly dissolving. What has happened? What is happening?
These exact thoughts were shared by textile workers around 1760, by craftsmen in the 1790s, and by factory lines at the turn of the 20th century.
They were right to feel it. Something was happening. And what happened to them is happening to us, with one difference that matters more than any other: every previous wave replaced what people did with their hands. This one replaces what they do with their heads.
Execution has become a commodity. The ability to produce work, analysis, code, copy, plans, models, decisions-in-draft, is collapsing in price and rising in volume, and it will keep going. Whatever competitive advantage your organisation currently derives from doing things well and efficiently has a short remaining life. This is not a prediction. It is already visible in your never-ending continuous improvement programs. The treadmill is the proof: an advantage you have to re-earn every quarter was never an advantage.
Yet most organisations are trapped in a narrow productivity race. Using AI to only increase productivity is like firing up a Formula 1 engine just to run simple grocery errands.
What remains scarce is direction, judgement and answerability. Direction is the wisdom to decide what is worth taking on. Judgement is the capacity to read a hard case correctly when the rules do not settle it. Answerability is the willingness of a human being to say, I decided this, and I will carry what follows, and to be believed. None of these can be bought, hired in a week, or generated on demand. They accumulate slowly, they live in groups rather than individuals, and they are what a competitor cannot copy. In this book I will show how these capacities are systematically enabled and cultivated by organisational design.
And most organisations are currently optimising them away. Direction, judgement, and answerability do not emerge in a vacuum. They are the direct results of human agency, growing only when people have the autonomy to navigate friction, the shared connection with colleagues to work through hard calls, and a clear view of their real-world impact. In the rush to automate, we strip away that very environment. We rarely take the time to reconsider why we are doing what we are doing, or to accept responsibility for the unseen costs we impose on others.
That is the argument of this book. If you think execution will remain a durable source of advantage, I disagree, and Part 1 is where I make my case. If you think judgement simply appears when needed, I disagree more sharply, and Part 2 is where I show what it takes to build the architecture that produces it. If you think this architecture builds and maintains itself once IT has shipped it, I disagree most of all, and Part 3 is where I show who has to hold it and what they must be able to do.
I should say plainly: this is not an ethical argument dressed as a business one. Organisations will need to accept responsibility for the bigger picture: for the people they shape, the societies they operate in, the consequences they generate. Not on moral grounds, but as a market necessity. The firm that deliberately builds judgement in its people and keeps named humans answerable for how that judgement is used will out-earn the firm that does not, because judgement and answerability are what still command a return when everything else is available at zero marginal cost.
George Santayana famously warned that those who cannot remember the past are condemned to repeat it. I take that warning seriously, but I don’t think it goes far enough. Knowing your history explains why the present feels the way it does; it does not tell you what to do next. And you need the honesty to see that the habits which built the business world we inherited, the assumptions about growth, labour, and the hierarchies we build to coordinate them, will not carry us into what comes next. Only once you hold all three, the lessons of the past, a clear-eyed view of the present, and the discipline to abandon what no longer works, can you shape the future with intent, rather than simply drift into it.
So, let’s understand our present more deeply.
We live in a prosperous world, with unprecedented access to information and analytical power, yet the costs of our growth threaten to overwhelm its benefits. A climate transition we understand in detail and act on far too slowly. Inequalities of income, of opportunity to advance, and of power accruing to position rather than competence; all of them measured with increasing precision and addressed with decreasing conviction. A wave of automation whose gains we measure precisely and allocate unthinkingly; most likely to margin, because no one decided otherwise. And beneath all of it, a slow erosion of collective bonds in favour of individual benefits. This is the one cost we barely measure at all.
What these have in common is not a shortage of analysis. It is a shortage of anyone willing to own the consequences of acting on it. And because most of our collective capability sits inside organisations, how those organisations are designed to exercise judgement largely determines whether that capability is ever pointed at problems of this kind. That is the scale of the challenge, and it explains the foreboding so many leaders feel.
And yet I am an optimist, and that is ultimately why I have written this book. I have an unwavering belief in human ingenuity and intent, in the passion and determination to find solutions. I also think technology is the key to those solutions rather than the culprit. Humans created these problems, and it will be humans who turn the corner. Because it is our intent to do so.
The word “intent” is the one I build on. My formula, which I return to throughout the book:
Human Intent (HI) × Artificial Intelligence (AI) = Sustained Advantage
By Human Intent I mean the human capacity to decide what is worth doing (direction), to read a hard case correctly when the rules do not settle it (judgement), and to take full responsibility for the answer (answerability). The three traits I mentioned above as being irreplaceable by technology advances. I will go much deeper into this later. Note that it is a multiplication, not an addition. Where intent is zero, no amount of AI produces anything of value. It produces volume.
The assumptions and habits we inherited about growth, labour, and the hierarchies we build to coordinate them are not the only ones worth abandoning. Perhaps the deepest one is assuming we already know what this new type of technological intelligence is. Before going further, we need to be precise about what artificial intelligence actually is and does, and just as importantly, what it will never be able to be or do.
On the word ‘intelligence’
I avoided using the term AI until now deliberately: the core issue is not the technology, but the misunderstanding of what it actually does. Undoubtedly AI already has, and will continue to have, an enormous impact on our lives. It will disrupt many activities and jobs; some will disappear, and new ones, along with new needs, will emerge. We will adapt, as we have before. The real question is whether we can adapt fast enough as societies and as businesses, before negative disruption creates chaos. My answer is yes, because we must, and I will spend much of this book explaining why that is a necessity rather than a hope.
What I will not do is ride the AI hype. The mathematical physicist Roger Penrose put it well when he observed that true intelligence requires understanding, understanding demands consciousness, and what these machines actually produce is better described as artificial cleverness. I agree, and I would add one vital element: intelligence, in the sense that matters to an organisation, also means grasping consequences and being answerable for them.
Cleverness is precisely where these machines and algorithms exceed us.
Most organisations I meet have an AI plan with two items on it: (a) raise awareness and (b) experiment. This is not incompetence. It is what happens when a technology arrives wrapped in a vocabulary that makes it impossible to ask a simple question without sounding naive.
None of this is a philosophical aside. It is the most practical question an executive can ask about any new technology: what is this thing actually doing? A system with no grasp of consequence can be given work where consequence is bounded and checkable. It cannot be given work where consequence is open, contested, or borne by someone else.
That single distinction, between bounded consequence and open consequence, will shape your AI strategy more than any pilot will. It is the hinge of the entire book. Cleverness is now abundant. Answerability cannot be automated. Everything in Parts 2 and 3 follows from that asymmetry.
I will keep using the term AI throughout, but I will not be in awe of it. I vividly remember the awe around the Internet thirty years ago, and how closely the statements then resemble the statements now. Nobody is in awe of the Internet anymore.
So the equation above should really be read as: Human Intent × (the latest disruptive technology) = Sustained Advantage. And in our time, that technology is AI.