Season 7, Episode 29: AI's impact on the labor market (with Brian Albrecht)

Economic principles offer a grounded framework for evaluating the disruptive potential of artificial intelligence and the ethics of personalized pricing. The "horse" analogy—suggesting AI will render human labor obsolete—fails to account for the economy's ability to reallocate labor toward new services as productivity gains increase overall wealth. While labor market data remains inconclusive, historical precedents indicate that labor shares of income are remarkably resilient. Similarly, personalized pricing, often criticized as "surveillance pricing," serves as a mechanism to overcome market inefficiencies. By replacing wasteful activities like coupon-cutting or waiting in lines with targeted offers, firms can capture marginal consumers and potentially lower costs. Rather than banning these practices, policy should focus on the underlying economic trade-offs, recognizing that price discrimination is a long-standing strategy for managing scarce resources and optimizing market participation.