Decentralized Decision Making ♾️
Decentralized Decision Making Is How You Actually Move Fast
In the 1950s, Toyota Motor Corporation faced a constraint.
It didn’t have the capital of American manufacturers.
It couldn’t afford excess inventory. It couldn’t afford mistakes.
So it did something different.
It pushed decisions down.
Workers on the factory floor could stop production.
They could pull a cord and halt the entire line.
They could adjust processes and fix problems in real time.
Not after a meeting. Not after approval.
Just a decision. Full on autonomy.
That became the foundation of the Toyota Production System.
This was distributed control.
Systems That Move Faster Than Plans
Post-war Japan scaled this idea beyond factories.
The Ministry of International Trade and Industry set the direction, then let firms, banks, and operators respond.
Banks lent based on long-term industrial goals.
Companies adapted quickly on the ground.
From the outside, it looked messy, chaotic.
From inside, it was coordinated decentralization.
Decisions moved faster than any central plan could.
How China Scaled Through Local Autonomy
Believe it or not, China applied a similar logic at scale.
Local governments weren’t limited to administrators.
They also served as operators.
They approved projects, financed infrastructure, and competed for growth.
If something worked, it spread. If it failed, it stayed local.
Growth didn’t come from one perfect plan.
It came from thousands of decisions made close to reality, under pressure, with real consequences.
Because of this, around 800 million people in China were lifted out of extreme poverty between 1981 and 2020.
This was the system at work.
The Mechanism Most People Miss
Economist Richard Werner pointed out something simple.
Banks don’t only allocate capital.
They create it.
When credit flows into productive use of factories, logistics, and infrastructure, you get real growth.
When it flows into speculation, you get distortion.
Japan and China, at their peak, decentralized their decisions, but they also aligned decision-making with credit creation.
Local actors could move as part of a bigger movement.
And the system funded the movement.
The Same Pattern, Different Context
This is not exclusive to Eastern ideologies; you see this in the West, too.
At Amazon, small teams own decisions, “two-pizza teams” that don’t wait for permission.
At Netflix, decision-making is pushed to the edge.
People are expected to act, not escalate.
Different cultures. Same principle.
Speed comes from trusting people closest to the work.
Where Startups Get It Wrong
Most startups say they move fast.
But they centralize decisions.
Everything routes through the founder.
Every choice needs alignment. Every risk gets escalated.
It feels controlled.
But it’s slow.
And it is.
And eventually, something worse happens.
The team doesn’t just slow down.
It forgets it’s allowed to decide.
The Real Constraint
The real constraint is not talent.
It’s not a strategy.
It’s not even resources.
It’s whether decisions can happen without friction.
What this looks like in practice
Not theory. Structure.
Push decisions to the lowest competent level.
Define clear boundaries instead of approval chains.
Accept small mistakes to avoid systemic delay.
Align resources with action—time, budget, trust.
You don’t need perfect alignment.
You need movement.
The Shift & The Test
The systems that win don’t make better plans.
Systems govern the world.
And the ones that move fastest decide what happens next.
They build environments where more people can decide, more often, closer to reality.
Not faster meetings.
Not better decks.
More decisions. Distributed.
When something small breaks—
Does your team fix it immediately?
Or wait to ask?
That’s the system.
Most teams don’t fail because they lack intelligence.
They fail because decisions bottleneck.
And over time, people adapt to that.
They stop acting.
The alternative isn’t complicated.
Build a system where people can decide and don’t need to ask if they’re allowed to.
See you next week. ♾️







