Computational Economy
Understanding how advances in computation reshape economics, organizations, science, and human decision making.
An independent research publication. Technology is the mechanism, economics is the lens, and decision making is the outcome. Every essay answers one question from a different angle: how does computation change the economics of human capability?
Featured essay
All essaysWhy Unmodeled Decisions Are Becoming the Biggest Risk in Business
For decades, organizations have described themselves as data-driven. Yet the most consequential business decisions have rarely been driven by structured data alone. They depend on conversations, judgment, competitive dynamics, customer sentiment, organizational behavior, and countless other forms of qualitative knowledge that resist traditional quantitative analysis.
Research themes
The research agendaThe mission
Read the manifestoMost discussion of artificial intelligence concerns productivity, automation, and reasoning. This publication argues something narrower and, I think, more consequential: the first-order contribution of foundation models is neither intelligence nor prediction, but a dramatic reduction in the cost of transforming unstructured human knowledge into structured decision variables.
That is an economic claim, and it has economic consequences. Business has never lacked information — it has lacked measurable information. When the cost of measurement collapses, the set of decisions worth modelling expands, and the organisations that build that capability compound an advantage that is hard to copy.
The long-term asset here is not individual essays. It is an interconnected body of original frameworks, published first on this domain and intended to be cited, argued with, and built upon. Every framework is provisional; revisions are recorded in public rather than applied quietly.