Chaos Is the New Order
For most of my life, chaos was treated as temporary.
A recession would come and go. A war would flare up and eventually settle down. A technology shift would disrupt an industry before becoming absorbed into the broader economy.
The assumption behind nearly every business plan, government policy, and personal financial strategy was simple:
Things will return to normal.
Lately, I have started to wonder whether normal was the anomaly.
Recent comments from IMF Managing Director Kristalina Georgieva caught my attention. Her observation was blunt:
We are not going to get to a place where shocks are gone.
Most people hear that as a warning.
I hear it as a systems diagnosis.
We Built for Stability
For decades, organisations optimised themselves around efficiency.
Inventory was reduced. Supply chains were stretched across continents. Redundancy was eliminated. Costs were trimmed. Headcount was optimised. Every process was designed around a fairly stable assumption: tomorrow would look reasonably similar to today.
This worked remarkably well for a long time.
When conditions remain predictable, efficiency wins.
The problem is that efficiency and resilience often pull in opposite directions.
The spare server looks wasteful until the primary one fails. The backup supplier looks unnecessary until a geopolitical conflict shuts down the first. The extra cash reserve seems excessive until revenue unexpectedly drops.
The old saying that just-in-time becomes just-too-late during a crisis exists for a reason.
When stability is abundant, resilience appears expensive.
When instability becomes common, resilience becomes essential.
The Accumulation Problem
The issue is not any individual shock.
Businesses have always dealt with disruptions. Recessions, labour shortages, supply delays, commodity swings, regulatory changes, technical failures, and political uncertainty are not new.
The challenge today is accumulation.
Economic uncertainty. Geopolitical conflict. Trade disputes. Energy volatility. Artificial intelligence. Cybersecurity threats. Supply chain disruption. Demographic shifts. Climate-related events.
Each of these can be managed independently.
The difficulty appears when they begin interacting.
A shipping disruption increases costs. Higher costs influence inflation. Inflation affects interest rates. Interest rates shape investment. Investment affects employment. Employment influences consumer demand. Consumer demand affects business revenue. Business revenue affects hiring and expansion.
The shock does not remain isolated.
It propagates through the system.
The result is not a sequence of disruptions. It is a permanently dynamic environment.
That matters because most planning models still assume disruption is an interruption. Something breaks, the organisation responds, the disruption passes, and then the operating model returns to steady state.
But what if steady state is no longer the base condition?
What if the operating model itself has to assume recurring turbulence?
The AI Parallel
I find it interesting that Georgieva also raised concerns about artificial intelligence.
Not because AI itself is the problem.
Because AI is another source of systemic change.
Many conversations around artificial intelligence sound remarkably similar to conversations around globalisation thirty years ago. We hear promises of productivity, efficiency, growth, and innovation. All of which may prove true.
What concerns me is not whether AI creates value.
It almost certainly will.
What concerns me is whether we are paying enough attention to the second-order effects.
Who benefits?
Who gets displaced?
Which institutions adapt?
Which ones break?
Which communities gain new opportunities?
Which ones get left behind?
Technology rarely creates problems because it is ineffective.
Technology often creates problems because it succeeds faster than society can adapt.
The lesson from globalisation was not that globalisation was bad. The lesson was that efficiency gains alone are not enough. Systems must remain socially and economically sustainable, or the gains eventually create their own backlash.
AI is moving faster than most institutions can comfortably absorb. That does not mean it should be resisted reflexively. It means it has to be governed, measured, questioned, and integrated with a clearer understanding of consequence.
Productivity is not the same thing as resilience.
Growth is not the same thing as coherence.
Capability is not the same thing as readiness.
The Drift Problem
Readers of the Vault know that I often talk about drift.
My belief is simple:
Drift is the default.
Nothing stays aligned indefinitely. Processes drift. Organisations drift. Technology drifts. People drift. Markets drift. Assumptions drift.
The mistake is believing that stability is permanent.
The reality is that stability requires continuous maintenance.
The same principle applies at the global level.
What we are witnessing today may not be a series of isolated failures. We may be watching multiple systems drift simultaneously.
Economic drift. Political drift. Technological drift. Institutional drift.
The interactions create turbulence.
Not because any single component is failing on its own, but because everything is changing at once.
That distinction matters.
If you believe the problem is one bad event, you wait for the event to pass.
If you believe the problem is systemic drift, you start building operating models that can keep re-aligning under pressure.
That is a very different kind of work.
The Wrong Question
Many leaders continue asking:
When will things settle down?
I suspect that is the wrong question.
A better question is:
How do we operate effectively when things do not settle down?
That shift changes everything.
Instead of optimising for certainty, we optimise for adaptability.
Instead of maximising efficiency, we balance efficiency against resilience.
Instead of building rigid plans, we build flexible systems.
Instead of seeking perfect predictions, we create faster feedback loops.
Instead of assuming the next shock is an exception, we assume the next shock is part of the environment.
The organisations that thrive over the next decade may not be the smartest. They may not even be the most efficient. They may simply be the ones that can adapt faster, recover faster, and learn faster than their competitors.
That does not mean abandoning discipline. It means applying discipline differently.
A brittle organisation can look disciplined because every process is fixed.
A resilient organisation is disciplined because it knows which parts must stay stable, which parts must be flexible, and how to tell the difference.
A Different Kind of Strength
Historically, strength was often measured by size.
Bigger factories. Larger inventories. More employees. Greater market share. More capital. More control.
In a world of continuous shocks, a different kind of strength matters.
The ability to reconfigure.
The ability to learn.
The ability to recover.
The ability to absorb surprises without collapsing.
In other words, resilience.
Not because resilience eliminates chaos.
Because resilience allows you to function despite it.
That is the practical lesson I take from Georgieva's comment. The world is not waiting to return to an older version of normal. The shocks are not an intermission. They are part of the operating environment now.
So the work changes.
Build systems that can bend without losing their shape.
Keep enough redundancy that failure is survivable.
Shorten feedback loops.
Watch for drift early, while correction is still cheap.
Treat assumptions as things to maintain, not things to inherit.
The future may not be calmer.
But it can still be navigable.