Marketing education in the AI era faces the challenge that many traditional marketing tasks are increasingly automated, while the most valuable skills, including human judgment, persuasion, strategic reasoning, and the ability to understand and shape AI-driven systems, remain unevenly developed among students. In response, I prepare students for the AI era through two complementary courses that target different stages of their professional development.

At the undergraduate and master’s levels, I offer Personal Selling & Sales Management, a course designed to strengthen skills that become more valuable in an AI-driven economy. As products and services become easier to generate and imitate using AI, the ability to communicate value, persuade others, and build long-term relationships becomes a key source of differentiation. This course trains students to see selling not as a narrow transactional activity, but as a core life and career skill.

At the PhD level, I co-teach Machine Learning and AI in Marketing, a course designed to prepare students to engage rigorously with the rapid transformation of marketing research and practice driven by advances in machine learning and artificial intelligence. The course introduces foundational ML and AI concepts with a focus on marketing applications, while explicitly emphasizing the role of marketing theory and behavioral insights in guiding ML-driven research.