At Duke University, the Computer Science (CS) department is evolving to integrate artificial intelligence (AI) as a core component of its curriculum. This shift reflects a commitment to preparing students for a world increasingly shaped by intelligent systems. The curriculum is designed to welcome students from various disciplines, with courses like CS 216: Everything Data and CS 372: Introduction to Applied Machine Learning focusing on real-world applications rather than just programming skills. Kristin Stephens-Martinez, an associate professor, emphasizes the importance of critical thinking and ethical considerations in data science, stating that programming is just one tool among many. The proposed new CS curriculum, set to launch in Fall 2026, will require all students to learn about AI, machine learning, and data science, ensuring they understand not only the technical aspects but also the societal implications of these technologies. With a growing interest in AI/ML concentrations, Duke is positioning itself as a leader in CS education, where interdisciplinary collaboration is encouraged, allowing students to blend their primary fields of study with computer science.