The article discusses the significant transformation in the computer science education landscape as AI becomes an integral part of the field. With the demand for entry-level programming jobs declining by 65%, universities are under pressure to adapt their curricula. The shift away from traditional coding towards a focus on computational thinking and AI literacy is seen as critical for preparing students for the future tech workforce. As a result, some educators are exploring interdisciplinary approaches, blending computing with fields like medicine and marketing. The National Science Foundation’s Level Up AI initiative is part of a broader effort to unify educators and researchers in creating a shared vision for AI education. This project includes conferences, roundtables, and the development of resources to guide the field’s future. Carnegie Mellon University’s endorsement of AI-powered introductory courses adds to the trend, highlighting the need for a balance between traditional computing basics and new AI tools. The broader implications of these changes suggest a shift in how technology is taught, with a focus on fostering informed skepticism and ensuring that students can navigate the complex impact of AI on society.