Why AI-enabled price discrimination is not always undesirable: lessons from law and economics

10 June 2022

Digitalization has gradually changed business models and reshaped human lifestyles. The rise of business models based on the collection and processing of consumer data allows undertakings to charge business customers and final consumers different prices for the same goods or services, offered at precisely the same time. This technique, which is called “AI-enabled price discrimination”, has deeply affected people’s daily life. For example, when ordering the same hotel room on the same Chinese website at precisely the same time, a loyal customer was charged more than a new customer (see CCTV.com).

Qian Li

Qian Li is a Ph.D candidate of METRO and MEPLI at Maastricht University, under the supervision of Prof. Niels Philipsen and Prof. Caroline Cauffman. Her research field concerns competition law and Law & Economics. The topic of her Ph.D project is "AI-enabled Price Discrimination: A Competition Law Perspective”.


Qian Li obtained a bachelor degree at Northwest University of Political Science and Law (China) in 2016, and double master degrees in Chinese Economic Law and European & International Law from China-EU School of Law (CESL) at China University of Political Science and Law (China) and Hamburg University in 2019.