Most organisations no longer struggle to find information. They struggle to make sense of it.
Economics developed in a world where data was scarce, analysis was slow, and expertise was expensive. That world is changing. Artificial intelligence makes knowledge and analysis faster, cheaper, and more widely available.
So the hard part shifts.
The challenge is no longer simply getting information. It is exercising the judgment to use it well.
Classical economics asked how scarce resources should be allocated.
A Short History, Roughly
Modern economics asked how people and institutions make decisions with limited information.
The question now is different again:
How do we choose well when information is abundant, analysis is automated, and attention is scarce?
What I’m Interested In
Economics has always been about choices.
AI changes the economics of making them. It reduces the cost of producing knowledge and insight. That moves the bottleneck from information to judgment.
The key question becomes:
How do people and institutions turn knowledge into better decisions?
That is the space I work in.
In Practice
This is practical work.
It means helping boards and committees make sharper decisions.
It means building governance systems that produce judgment, not just paperwork.
It means turning organisational archives into usable institutional memory.
And it means using AI carefully: not to replace human judgment, but to strengthen it.
Get in Touch
Virtual Economics is still taking shape.
I am working the idea out in the open, through essays, advisory work, and practical experiments.
If this speaks to a decision, institution, or problem you are working on, I would be glad to talk.