Description
Roxana Mihet is Assistant Professor of Finance at the University of Lausanne. She has received multiple research awards, including the Cubist Systematic Strategies Award at the Western Finance Association, an ArmaSuisse Cybersecurity Defense (CYD) Grant, and a Sandoz Family Foundation Fellowship to lead an interdisciplinary research initiative on AI and the data economy.
Professor Mihet examines the transformative impact of new financial information technologies such as AI and machine learning on productivity, inequality, and competition. In her research, she argues that the current policy debate—often focused on AI models as a source of consolidation—overlooks a critical driver: the data that fuels AI systems. She addresses this gap by disentangling the roles of compute and data feedback loops in market concentration, and by showing that unequal access to usable (processed) data can reinforce market power even when AI capabilities diffuse. DeepSeek’s rise shows how knowledge distillation can offset scarce compute. For banks and asset managers, the implication is practical: competitive edge increasingly depends on data governance—quality, security, privacy, and interoperability—so that raw information becomes decision-ready signals for risk management, underwriting, and portfolio construction.
