Research essays, field notes, and working papers on data economics.
April 14, 2026
Most AI deployments underperform because the missing piece is not the model but the context. This report breaks context into five measurable layers so teams can see where their AI systems are strong, exposed, and where to invest next.
October 30, 2025
We introduce data economics as a coherent field and define the open problems that haven’t yet been formalised. Most AI economics research focuses on downstream effects. We argue you can’t understand AI’s economic trajectory without studying how data, compute, and labour interact at the production layer.
August 1, 2024
A framework for attributing model outputs to training data contributions. The methodological foundation for pricing and valuing datasets in commercial AI pipelines.