Rethinking Economics in the Age of AI
We study economies in which humans and AI agents interact, using decentralized markets as empirical laboratories and quantum methods as new tools for economic modeling and computation.
Economic agents are no longer exclusively human.
AI agents are beginning to trade, transact, coordinate, and make decisions alongside humans. This creates a new class of economic systems in which human and machine behavior interact within shared markets and institutions.
We study these emerging economies empirically through decentralized markets, where economic actions are observable on public ledgers, and theoretically through new mathematical and computational approaches.
Quantum methods provide a complementary framework for modeling uncertainty, interaction, and decision-making, while quantum computing opens new possibilities for solving computationally difficult economic problems.
Human–Agent Economies
We study how AI agents behave, interact with humans, and reshape markets and institutions.
Decentralized Markets
We use transparent, programmable markets as empirical laboratories for studying economic behavior, networks, mechanisms, and emerging machine economies.
Quantum Economics
We develop quantum-inspired models of economic behavior and explore quantum computation as a new tool for solving economic problems.