Research
Six research pillars connecting physical resources, AI systems, and economic value.
Research program
Our agenda spans six connected pillars. The questions below define planned investigations, not completed findings.
A — AI Infrastructure Economics
What determines the full cost of useful computational capacity?
B — Model Training Economics
How should compute, data, and research effort be allocated to develop capability?
C — Inference Economics and Engineering
What does it cost to serve a useful result under real operating constraints?
D — AI Business and Financial Economics
When can AI products earn sustainable returns on capital?
E — Economics of Intelligence
When does machine capability translate into economic value?
F — Research Methodology and Measurement
How can AI economic claims be measured, compared, and reproduced?