Homines ex machina

We’ve crossed a subtle threshold in leadership. Somewhere between the push for productivity and the mythology of high performance and having it all, we’ve begun to believe the memes and started treating people as if they were limitless. We began to speak about ‘capacity’ like a dial that can be endlessly turned up if only we find the right system, the right motivation, or the right piece of tech. But human beings are not machines. We are biological organisms with nervous systems that crave rhythm, rest, and recovery. When we override those cycles - individually, collectively or organisationally - we start paying compound interest on depletion.

The neuroscience is unambiguous on this. Our brain can sustain about 3–5 hours of deep cognitive work a day before it begins to slide into diminishing returns. After 50 hours of work in a week, productivity and accuracy collapse. Past 55 hours, health risks climb: cardiovascular strain, sleep disruption, immune suppression. Yet in workplaces everywhere, we glorify the stretch, the ‘extra mile,’ the silent hero who sacrifices weekends and sleep for the cause. Or worse, are so jacked up on adrenalin and sympathetic nervous system energy that there is no discernment as to what limits look or feel like, work is cascaded down through the layers without an off switch or a no switch to the always on pipeline. As leaders, many of us model that behaviour. We call it commitment, but our people read it as modelled expectation. It’s not sustainable leadership; its people pleasing wrapped up in a social contagion of overwork.

When I teach trauma-responsive leadership and complexity, I often talk about stress not just as a mental state, but as a limitation on human capacity. The nervous system is binary: it’s either in a state of safety and connection, where creativity and problem-solving thrive, or it’s in protection, where survival reflexes take over. Chronic stress narrows perspective, reduces empathy, and erodes our ability to make nuanced decisions. The more we push through our own limits, the more we unconsciously push others past theirs. People-pleasers are especially vulnerable to this - leaders who want to be everything for everyone, who fear letting anyone down, who equate saying yes with being kind. But every ‘yes’ without recovery is a micro-withdrawal from our nervous system’s balance sheet.

In my own experience coaching leaders, I’ve seen this pattern repeat with precision. The people most driven to do good often do so at the expense of their own physiology. They run on empathy debt. Their hearts are big, but their regulation is thin. They tell me they feel guilty resting, they can’t stop, that doing less feels like letting the team down, or that their people are so depleted they are better off doing the work for them – the ultimate leadership bypass.

But doing less is often the most responsible act of leadership there is. Doing less allows space for others to step in, for teams to grow, for innovation to breathe. Doing less allows our prefrontal cortex - the part of the brain that integrates strategy, empathy, and foresight - to stay online. Doing less needs a new lens, of not being laziness or lack of committment, but neurobiological stewardship to pay dividends for our future innovation.

What’s required now is a recalibration of what leadership even means. To lead well in this century is to understand limits as sacred, not shameful. It’s to design work around human cycles of focus and recovery, to normalise detachment and rest as essential parts of performance, not perks. It’s to look at the calendar and ask: “What is the real cost of this pace, not just in output, but in human system integrity?” Leaders who protect their own regulation create cultures that thrive longer and stronger. When people are well, they don’t just do more - they do what matters most, better.

The urgency for this realisation on an individual and systems level is real. Burnout isn’t a badge of honour; it’s a system failure (or a failure to value the systems that value limits perhaps). Every hour of overextension without recovery chips away at the very neural networks that make leadership possible. The future of work won’t belong to the fastest, but to the most sustainable. The question isn’t how much more we can do; it’s how wisely we can work within the limits of our beautifully finite, human selves. Doing less, done right, is not the end of ambition - it’s the beginning of endurance in holding ambiguity. Here’s some crib notes about humans and their nervous systems in complexity to unpack the systems science i’m talking about.

Human beings are complex adaptive systems. And because teams, organisations and communities are made up of humans, they are complex adaptive systems too. In our evolutionary moment, we aren’t solving anything that is as complex as life is now, so we need to understand how to optimise our human complex systems to withstand the uncertainty of complexity and navigate it in connection with each other so emergent thinking and practices can occur.

The Three Conditions of Complexity

Mindsight originator and neurobiologist Dan Siegal has synthesised complexity theory mapped to human neurobiology and identifies three characteristics of complex systems to understand our behaviour within complex systems:

1. Open

Our systems are open and are constantly influenced by what is happening around us. Our thinking and behaiour is affected by:

  • relationships

  • organisational culture

  • family systems

  • social media

  • politics

  • economic conditions

There is no such thing as an isolated leader. We are always embedded in larger systems. There is such a thing as feeling isolated, which is a mislabelled emotion that signals danger and triggers an action from the inside out.

2. Chaos Capable

Humans are capable of unpredictability. A seemingly minor event can trigger a disproportionately large response in our inner system. One comment. One email. One meeting. One leadership decision can create outcomes nobody anticipated. This is why people are often surprised by the consequences of seemingly small actions. The capability for chaos is a hallmark of complexity, and also a very strong tension in human systems that crave consistency and predictability. We will go out of our way to avoid situations that create the feelings in our system of chaos. Even if by doing so we create more complexity. And chaos that produces emergent outcomes.

3. Non-Linear

This is probably the most important concept. In a largely linear world, especially one where linear concepts of economics and growth drive productivity and organisational culture to mimic those desired upward trends, we treat complex like it is linear and try and make it fit:

A causes B. B causes C.

Simple and predictable, and indicative of when we operated in less complex times and our systems felt far more able to create certainty and minimise risk. As a species we cannot evolve or adapt at the speed of our environment, no matter how much we want it to go back to where it came from.

In a complex system:

A interacts with B. B interacts with C. C changes A. D appears unexpectedly. F unleashes a virus. Q has just had an earthquake. Something entirely new emerges. The future is influenced by interactions which are unpredictable rather than direct causes and these interactions change all the participants subtly and sometimes not so subtly.

Why This Matters for Leaders

Many leadership models still assume linearity. We assume linear ideas can be translated to human factors, and if we see humans as productivity machines that can be replaced when worn out that explains the simple approach to complex systems:

·      If I communicate this strategy clearly, people will understand.

·      If people understand, they will change.

·      If they change, [insert] outcomes will improve

·      If they don’t change I can change them for improved systems and people.

Complexity demonstrates something different when it comes to human systems. People are interpreting information through their own intersectionality and the collisions of those experiences and previous interactions that have shaped their beliefs, in doing so creating a false expectation of an outcome that is transferred onto complexity to make sense of their experience in the world:

  • history

  • identity

  • relationships

  • stress

  • culture

  • power dynamics

  • competing priorities

Meaning is emergent not imposed and it is unique to the individual. That’s fine as the system integrates with difference not sameness. Trouble for a leader is you have to understand how the differences in your human systems can create cohesion and congruence as part of the whole.

Emergence Is The Missing Piece

The whole is greater than the sum of its parts.  A cloud cannot be understood by studying a single water molecule but the interactions of the water molecules that create the cloud with the rest of the system that creates weather allow us to understand what a cloud is.

Likewise:

A team cannot be understood by studying individuals separately. An organisation cannot be understood solely through organisational charts. A culture cannot be understood through policies. Change or newness emerges through interaction, the difference is whether it is intentional. Leadership in complexity is an emergent, self-organising, embodied and relational process.

Complex systems self-organise.

Nobody controls emergence.

You cannot create:

  • trust

  • culture

  • innovation

  • collaboration

  • belonging

You create conditions from which those things emerge. This is exactly how complex systems function. And it is exactly how human systems function. We are inside the system, observing it as we participate in it.

You influence conditions so when that emergence happens it is optimal to what outcome you are moving towards. With the understanding that the outcome is preferred not fixed as it is part of a complex system too and subject to change. So the role of a leader is to amplify the elements and capabilities in your people to be most ready to create change and hold ambiguity and complexity in a way that allows integration in the system and avoids chaos or rigidity which constrain the system.

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