The Capacity to Update
In this essay
- The brain is a prediction machine — and expertise becomes a liability the moment the ground shifts
- Curiosity is a capacity, not a character trait: depletion closes a gate that no culture programme can reopen
- Five conditions for sustainable curiosity — capacity is the gate; coherence, permission, agency and integration are multipliers
- In a changing environment, intelligence is not the ability to know. It is the capacity to update
For most of human history, intelligence meant knowing enough to survive. Where is the water. Which plants are safe. What that sound in the dark means.
But knowledge was never enough, because the world kept moving. Seasons failed. Animals migrated. Familiar paths turned dangerous. People met new landscapes, new groups, new materials and unfamiliar problems. Survival depended not only on remembering what had worked before, and not only on noticing when the old model failed. It depended on something more demanding: the willingness to go looking, to test a model before reality broke it, to cross the next ridge knowing the view might overturn what you thought you knew.
That willingness has a name. We call it curiosity. And it is about to become the most valuable capacity in professional life.
This essay makes a single argument, and then asks something specific of the organisations that take it seriously. The argument is that curiosity is not a personality trait to be admired in a few people and exhorted in the rest. It is a capacity, built or destroyed by conditions that leaders control. The request is that we stop demanding curiosity and start engineering the conditions that produce it.
The rules of intelligence have changed
The brain is often described as a prediction machine. It does not passively receive reality and then decide what it means. It uses prior experience to anticipate what it is likely to encounter, compares those predictions against incoming information, and revises its models when meaningful discrepancies appear.
Predictive-processing theories differ in their details, and they should not be treated as a complete account of the mind. But they share a principle worth holding onto: perception and learning involve an ongoing exchange between expectation and evidence, and prediction errors are what prompt the system to revise its model of the world (research published in Nature).
Prediction is extraordinarily efficient. Without it, every moment would arrive as an incomprehensible flood of sensation. But prediction carries a hidden risk. The better we become at anticipating the world, the easier it becomes to see only what we expect to see. We mistake familiarity for truth. We ignore weak signals, defend inherited assumptions, and interpret new evidence through old categories.
This is the failure mode of expertise in a changing environment. The expert is, by definition, someone whose predictions are usually right. That reliability becomes a liability the moment the ground shifts, because the very confidence that made them valuable now makes them slow to notice that the model no longer holds.
Curiosity interrupts that closure. It motivates us to look again. It turns a discrepancy from an inconvenience into an invitation.
But curiosity is not only a response to something that has already gone wrong. Waiting for the world to break our model is the slow way to learn. In active-inference accounts of the brain, we do not merely sit and wait for prediction errors to arrive; we act to seek the information that will sharpen the model, foraging for uncertainty rather than avoiding it. And at its best this seeking is optimistic. Curiosity carries an implicit bet that what we find will be worth the looking. It is the difference between noticing the map is wrong and choosing, before anything forces you, to walk off it.
We should be precise here, because precision is the point. Curiosity is not the brain's literal updating mechanism. Learning happens without conscious curiosity, and many neural systems contribute to belief revision, attention and memory. The defensible claim is narrower and more useful:
Curiosity is a motivational state that makes certain gaps, uncertainties and prediction errors feel worth investigating.
Research consistently describes curiosity as a driver of information-seeking. It can make information feel rewarding even when that information has no immediate practical payoff, and people will sometimes accept costs, or risk unpleasant discoveries, simply to resolve uncertainty (research in ScienceDirect).
Curiosity, then, is not an interest in trivia. It is our willingness to approach the edge of what we know.
It is worth being clear about what curiosity is for, because the usual answer is too small. Evolution can explain why the capacity exists: over deep time, the willingness to explore paid off. But that is an explanation for the trait, not the experience. In the moment, curiosity is not a survival calculation. It is felt as pure interest, decoupled from any specific payoff, and that decoupling is precisely what makes it powerful. It draws us to update models that a purely survival-focused mind would never trouble to revise. Which is why the person under threat does not explore, and neither does the person under deadline. Curiosity begins where urgency ends.
The reframe that changes everything: curiosity is a capacity, not a character trait
Most writing on curiosity treats it as an attitude anyone can switch on. Be interested. Ask more questions. Try something new. This advice is not wrong so much as incomplete, and its incompleteness is expensive, because it locates the problem in the individual's willingness rather than in their circumstances.
Exploration has a cost. It requires attention, effort, tolerance of uncertainty, and the real possibility of failure. It may require admitting that an established belief, process or identity is incomplete. None of that is free.
Consider what the science of stress tells us. Under acute threat, narrowing attention and reaching for familiar responses is adaptive, not lazy. A person escaping a fire does not need a rich philosophical relationship with uncertainty; they need to get out. Stress is not simply the enemy of learning. Responses to uncertainty can heighten vigilance and help us learn about danger, and studies show that our physiological stress responses track uncertainty in threatening environments in ways that serve us well (research in Nature).
The problem is not stress. The problem is when threat becomes persistent, generalised, and disconnected from anything a person can actually resolve. Under sustained strain, people tend to become more sensitive to negative outcomes, less cognitively flexible, and less willing to undertake effortful or uncertain action. The effects vary with timing, intensity, context and the individual, so we should resist the tidy claim that "stress kills curiosity." But the evidence does suggest that acute stress and induced anxiety impair aspects of complex decision-making and directed exploration (research in Nature).
This points to the reframe on which everything else depends:
Curiosity is less a fixed supply of personality than an expression of available capacity.
When capacity is low, familiarity becomes attractive. We eat the familiar food, follow the familiar process, and consult the people who reinforce the familiar story. We become less interested in what might be possible and more concerned with preventing further cost. This is not intellectual failure. It is conservation. And it is exactly what a depleted workforce will do, no matter how enthusiastically its leaders talk about innovation.
The body budget behind the behaviour
The neuroscientist Lisa Feldman Barrett uses the accessible metaphor of a body budget to describe how the brain regulates its physiological resources. The more technical concept is allostasis: the predictive regulation of the body's internal needs, the brain continually anticipating and coordinating physiological demand rather than merely responding once imbalance has already occurred (this remains an active research area; the models are still developing).
This offers a plausible bridge between physiology and behaviour. A depleted system prices effort, ambiguity and novelty differently from a resourced one. When we are sleep-deprived, overwhelmed or chronically threatened, the expected cost of exploration rises. A familiar answer may not be the best answer, but it is the cheaper one, and a depleted brain is a brain looking for a discount.
We should hold this as a hypothesis rather than a proven mechanism. It does not yet establish that a balanced body budget directly causes curiosity. But it yields a practical model that leaders can act on immediately:
Capacity changes the perceived affordability of uncertainty.
Curiosity asks us to spend something before we know whether the investment will pay off. Attention. Energy. Time. Status. Certainty. Sometimes belonging. That is why curiosity cannot be separated from wellbeing and resilience, and why the wellbeing conversation is not a soft adjunct to the performance conversation. It is a precondition for it.
One morning with no rush
For years I drove from Mount Maunganui to Auckland in a campervan, and I would sometimes stop overnight at a free roadside site near Paeroa. Behind the parking spot rose a lush green hill. In my mind I had already painted what lay beyond it: a river, gentle farmland, rolling country. I never once checked. I was always in a rush to get home.
One morning I woke with time to spare and no reason to hurry. Before anything else, I decided to walk up the hill and see. That is curiosity: I had the capacity, and I was interested. There might be nothing of use up there at all. It was pure interest. At the top I found a road and some buildings. Mildly disappointing. But my model updated, and I have never wondered about that hill again.
Further down the road I stopped at the Karangahake Gorge, meaning only to stretch my legs. I crossed the suspension bridge, and what I found undid me: old gold-mining tunnels, ancient train tracks, spectacular cliffs, forest that kept opening. The further I walked, the more I needed to know what lay around the next corner, and I felt something close to disappointment when I finally turned back, nearly two hours along a trail I had never meant to walk.
Same person. Same road I had driven a hundred times. The only thing that had changed was that this morning I was not in a rush. I had surplus energy, and I was willing to explore. That is the whole argument in a single morning. Curiosity did not require a new personality. It required capacity.
Five conditions for sustainable curiosity
If curiosity is a capacity rather than a trait, we should be able to name the conditions that produce it. Five hold up under scrutiny. Crucially, they do not all work the same way.
Capacity is the gate. I have enough energy and attention to explore. Below a threshold of physiological and attentional resource, nothing else fires. An exhausted person inside a psychologically safe, purposeful, high-agency team with excellent reflection practices will still default to the familiar, because their body is pricing exploration as unaffordable. This is the single most important and most overlooked point for leaders: you cannot compensate for depletion with culture. If the gate is closed, the other four conditions cannot open it.
The remaining four are not gates. They are multipliers. Above the capacity threshold, each one raises or lowers how much curiosity a given amount of energy produces.
Coherence. I have anchors that make uncertainty tolerable. Coherence does not mean everything is calm, certain and ordered; curiosity itself creates productive disruption. It means a person has enough internal and contextual stability to approach uncertainty without being overwhelmed by it: physiological regulation, a stable sense of identity, clarity about values, trust in others, a meaningful direction, and confidence that mistakes can be survived. There is a paradox worth naming here. We need stability in order to explore instability. And we should distinguish the coherence we start from, the anchors that let us step toward the unknown, from the coherence exploration temporarily spends, the discomfort of holding a question open. Values hold us. Curiosity moves us.
Permission. I can question, experiment and admit error without disproportionate interpersonal cost. This is where the organisation lives or dies. Amy Edmondson defines psychological safety in terms of the perceived consequences of interpersonal risk, and it underwrites precisely the behaviours curiosity depends on: asking for help, reporting mistakes, speaking up, offering an unconventional idea (research summarised in the Annual Review of Organizational Psychology and Organizational Behavior). Put simply: curiosity is the impulse to ask; permission is the freedom to ask out loud. Without permission, curiosity does not disappear. It goes underground, where it cannot help anyone.
Agency. I believe my exploration can produce meaningful progress. People do not spend the cost of exploration to shout into a void. If nothing they discover ever changes a decision, they stop discovering. Learned helplessness is curiosity's opposite, and it is manufactured by environments where questions are welcomed and then ignored.
Integration. I have the time and the practices that turn discovery into learning. Exploration alone is not learning. For an experience to change the model, information must be encoded, integrated and consolidated. Here the evidence is uneven, and we should be honest about it. Sleep's role in memory consolidation is robust and well established across a large body of research; both full sleep and naps can support learning, depending on the task, timing and individual (research summarised in the Annual Review of Psychology). The claim that organisations can engineer reflective "rhythms" producing comparable model-updating is an analogy, not a finding. It is a reasonable design principle, but it borrows credibility from the sleep science and should not pretend to its evidence. What we can say is that a person who consumes endless information without reflection stays stimulated without becoming wiser.
The full cycle, then, is not simply be curious. It is:
Regulate. Explore. Discover. Rest. Integrate. Update.
The value of separating these five is diagnostic. When a team is not learning, you can now ask which condition has failed rather than why won't these people be more curious. And because capacity is a gate while the rest are multipliers, the model makes a testable prediction: interventions aimed at permission or purpose will fail in a depleted workforce, because the gate is shut. Restore capacity first. Everything else is a multiplier on a number that is currently zero.
Curiosity is a team sport, and it needs both explorers and stewards
We do not update our models only through direct experience. We learn through other minds. Social curiosity, the desire to understand what another person thinks, feels or knows, opens a gap between disagreement and contempt. Instead of "how could anyone believe that" as a verdict, it asks the same words as a real question. What experiences produced this model? What does this person see that I do not? What are they trying to protect?
This does not require moral passivity; we can oppose a belief while remaining interested in how it formed. Nor does it guarantee truth. People sometimes seek information that confirms what they want to believe rather than what is accurate, because information-seeking serves several motives at once, including emotional comfort (research in Nature). Curiosity therefore has to be partnered with intellectual humility and discernment. On its own it is a direction of travel, not a destination.
There is also a temperament question that organisations get wrong. The goal is not to turn every employee into a restless novelty-seeker. In personality psychology, Openness to Experience, one of the Big Five, overlaps strongly with curiosity but is not identical to it; curiosity can appear as a temporary state even in people who are not generally high in openness (research in PubMed). Human groups have always needed two capabilities at once. Exploration searches for new possibilities. Exploitation refines, protects and scales what already works. Organisational research calls the capacity to hold both ambidexterity, and it depends on both opening behaviours that encourage experimentation and closing behaviours that support focus and completion (research summarised in the Annual Review literature).
The explorers leave the fire to see what lies beyond the ridge. The stewards keep the fire alive. A resilient group does not argue about which is superior. It builds enough trust for each to respect the other. The danger appears when explorers dismiss stewards as blockers, or stewards treat explorers as reckless. And there is a discipline the curious owe the group in return: the explorer must learn to come back with something the team can actually use. Curiosity that only destabilises is a cost. Curiosity that returns with a usable insight is the engine of adaptation.
Why this matters now
Artificial intelligence radically reduces the cost of receiving an answer. That does not, on its own, make us wiser.
A fluent answer can create premature closure. We accept the first plausible output, outsource the struggle of forming a good question, and mistake synthetic confidence for understanding. Used this way, AI is a machine for ending thought.
But AI can also be the most powerful curiosity amplifier ever built. It lets people test ideas, interrogate unfamiliar domains, simulate perspectives, and follow a line of inquiry at extraordinary speed. Used this way, it extends thought rather than replacing it.
The difference is not in the tool. It is in the posture of the person holding it. Do we use AI to end thinking or to extend it? Do we ask it to confirm our model or to challenge it? Do we accept the answer, or examine the assumptions beneath it?
This is where the second, larger claim of this essay comes in, and it is worth stating as its own proposition rather than smuggling it in:
In a stable environment, intelligence is the ability to know. In a changing environment, intelligence is the capacity to update.
You can accept everything above about curiosity as a capacity without accepting this redefinition of intelligence. But if you do accept it, the implication for talent is stark. The valuable professional of the intelligence age is not the one who remembers the most, because retrieval is now nearly free. It is the one who notices what does not fit, asks a better question, tests the answer, and updates faster than the environment changes. Curiosity is what makes that updating desirable in the first place.
What this asks of leaders
Here is the stand, and the request that follows from it.
Organisations spend heavily on the visible layer of adaptation: the AI licences, the innovation labs, the transformation programmes. Far fewer invest in the human capacity those things depend on. You can buy the most powerful intelligence on the market and still have a workforce that quietly protects the known, because the people using the tools are depleted, unsafe, or convinced their discoveries will change nothing.
Curiosity is not a value you can put on a wall. It is a capacity you either build or erode through the everyday conditions of work. The five conditions give leaders a concrete agenda:
Protect capacity, because it is the gate, and no amount of culture compensates for exhaustion. Provide coherence through clear values and a stable direction, so that people have anchors when tools, roles and expertise are changing monthly. Grant permission by making it genuinely safe to question and to be wrong. Confer agency by ensuring that what people discover can actually change what the organisation does. And build integration by creating the time and the rhythms in which experience becomes learning rather than mere stimulation.
The future belongs neither to the explorers nor to the stewards alone. It belongs to groups that know when to protect the fire, when to cross the ridge, and how to listen when the explorers return.
In a predictable world, expertise was enough. In this one, expertise must stay curious. The organisations that thrive will not be the ones that simply acquire the most powerful intelligence. They will be the ones whose people keep the energy, the safety and the humility to keep updating what they understand, including their understanding of what intelligence now makes possible.
Intelligence is not only the ability to know. It is the capacity to update.
And curiosity is what makes updating worth the cost.