As AI handles data cleaning, modeling, and reporting, data science education must prioritize teaching human reasoning, problem formulation, and ethical judgment—skills that AI cannot replace.
This paper argues that generative AI automates routine data science tasks but reveals that the most valuable skills remain fundamentally human: problem formulation, causal reasoning, ethics, and judgment. The author proposes that data science education should focus on these irreducibly human competencies while teaching students to work effectively with AI tools.