We are the first policy institute dedicated to modeling the financial, labor, and macro-structural impacts of the transition to Artificial General Intelligence (AGI). We bridge the gap between compute engineering and central banking.
Global Virtual Conference 🌐 Online Only
Bringing together leading macroeconomists, machine learning researchers, and policymakers to define the post-AGI economic framework.
Call for PapersAnalyzing the physical constraints of AI—energy, silicon, and capital expenditure. We examine how the 'Compute Standard' is emerging as a new form of currency.
Moving beyond simple unemployment statistics to model wage compression, productivity paradoxes, and wealth redistribution in high-automation sectors.
Theoretical frameworks for ASI. How do central banks and taxation systems function when the marginal cost of intelligence approaches zero?
Analyzing the fundraising goals for global compute infrastructure not as a tech ambition, but as a global inflation risk.
Nations are beginning to treat foundation models like national stockpiles. We analyze the shift from globalized trade to digital protectionism.
Why GDP is becoming a broken metric for high-automation economies, and the search for new measurements of human flourishing.