When Decisions Have No Price
Accountability, feedback and the infrastructure decisions that shape decades.
A wrong decision does not simply disappear.
In business, the consequences of a bad decision usually return to the person who made it. Capital is lost. Customers leave. Reputation suffers. In the worst case, the business fails.
Infrastructure is different.
Once a decision has been translated into land, steel, concrete, cables, grid connections and long-term contracts, it becomes physical. It acquires inertia.
And that raises a question that receives far too little attention:
What happens when the people making long-term infrastructure decisions do not directly experience the consequences of being wrong?
Thomas Sowell expressed the underlying principle provocatively: decisions become dangerous when those making them pay no price for being wrong.
The important word, however, is not price.
It is feedback.
A price is simply one form of feedback. It tells a decision-maker that reality has rejected an assumption.
Entrepreneurs experience this constantly. A failed investment consumes capital. A wrong product decision costs customers. A poor strategic decision damages reputation.
None of this makes entrepreneurs infallible.
It does something more important:
It connects decisions to consequences.
That connection creates an incentive to gather information, test assumptions, reconsider decisions and change course.
When the connection disappears, even competent and well-intentioned people can operate inside systems that repeatedly produce poor outcomes.
Infrastructure makes the problem harder
The energy transition is increasingly an infrastructure challenge.
We have to decide where capacity is built, how energy reaches demand, how networks are dimensioned, which assets belong together and where capital should be committed.
These decisions do not remain on paper.
A charging hub occupies a location.
A grid connection creates a dependency.
A transformer has a technical lifetime.
A logistics-energy interface becomes part of an operating system.
A poorly located infrastructure asset cannot simply be moved because the original assumptions proved wrong.
By the time the mistake becomes obvious, the decision may already have become sunk capital, contractual commitments and physical infrastructure.
The cost of learning becomes very high.
Accountability should begin before failure
This changes the meaning of accountability.
Accountability should not primarily mean finding somebody to blame after a project fails.
It should mean designing better feedback into the decision before the commitment becomes irreversible.
The relevant questions become:
What assumptions are we making?
What evidence supports them?
What could prove them wrong?
Which decisions can still be changed later?
How much capital should be committed before we know more?
This is also one of the ideas behind our work on Transport Energy Infrastructure.
Before deciding what to build, we ask what capability the location actually requires, where the binding constraint sits and which intervention the evidence supports.
Sometimes the answer is more grid capacity.
Sometimes it is storage.
Sometimes charging architecture or load management.
Sometimes local generation.
And sometimes the correct answer is not to build the proposed asset at all.
The objective is not to eliminate uncertainty.
It is to prevent uncertainty from being converted too early into irreversible infrastructure.
The second infrastructure challenge
The energy transition therefore has two infrastructure problems.
The first is physical:
How do we build the infrastructure required for an increasingly electrified transport system?
The second is institutional:
How do we ensure that the decisions shaping that infrastructure remain connected to reality?
We spend enormous amounts of time discussing the first.
The second may determine whether the capital behind the first is used well.
Good infrastructure requires more than good technology. It requires decision systems capable of learning before mistakes become concrete.