This book was written in 2012. I’ve resisted the urge to revise it.
The early chapters will feel dated in places—cloud computing was still a proposition rather than an assumption, and some of the examples (DELL’s negative working capital, Nokia’s absence from the smartphone market) have the quality of period detail. If you are already fluent in the last decade of business thinking, you can move quickly through the first half and pick up the thread where the argument turns from diagnosis to prescription—roughly at the shift from velocity to acceleration, and the discussion of what I was then calling ‘unorganisations.’ The core argument has not aged. If anything it has sharpened.
What I was trying to articulate in 2012 was a structural shift in where competitive advantage lives. The claim was simple: we had reached the point where operational excellence—doing what you do efficiently, reliably, at scale—was the price of entry rather than a source of differentiation. The organisations that would pull ahead were those that could mobilise faster than their competitors could react, assembling the right capabilities around the right problems rather than optimising a fixed asset base. The firm as a temporary coalition rather than a permanent machine.
The intervening years have largely vindicated this. The organisations that have flourished are those that treated their boundaries as permeable—between inside and outside, between employee and partner, between product and service. The ones that struggled were those that kept optimising the machine while the environment changed around them.
What the book did not quite arrive at—and what the years since have clarified—is the question of where decisions can actually be made. The book is full of observations about decision quality, decision speed, the importance of orienting correctly before acting. But it treats decision-making as primarily a cognitive and informational problem: give people the right data at the right time in the right format, and good decisions will follow.
That turns out to be necessary but not sufficient. The deeper constraint is structural. In most organisations, the people closest to the problem—the ones with the most current and granular understanding of what is actually happening—do not have the authority to act on it. And the people with the authority are too far from the problem to act well. This is not a failure of information flow. It is a failure of organisational design. The decision cannot be made well at the location where it is being made.
This matters more now than it did in 2012, for a reason the book anticipates but could not fully see: the arrival of large language models as a general-purpose capability.
LLMs do not change the argument of this book. They accelerate it. The fungibility that cloud computing and globalisation applied to infrastructure and labour, LLMs are now applying to knowledge work itself. The barriers to entry that once protected organisations whose advantage rested on accumulated expertise are dissolving. What remains—what cannot be replicated by assembling the right model with the right prompt—is the capacity to make good decisions in context. To know which problem is worth solving. To recognise the signal in the noise. To act before the situation has fully declared itself.
That capacity is not a function of data, or processing power, or even intelligence in the narrow sense. It is a function of where in the organisation decisions are being made, and whether the people making them have the orientation—the accumulated, embodied understanding of the problem—to make them well.
The book you are about to read was an attempt to describe the conditions for that kind of organisation. I think the description holds. What I would add now is that the window for building it is narrower than it was. The organisations that have not yet made this shift are running out of time to do so on their own terms.
Peter Evans-Greenwood, 2026