Colleges are retooling computer‑science curricula as generative AI automates routine coding tasks and entry‑level developer roles evaporate. University Business and related reporting show undergraduate CS enrollment fell about 8% this fall and graduate enrollment dropped roughly 14% as employers change hiring patterns and firms shift toward AI‑driven development. Academic leaders including Howard University’s Harry Keeling and deans at smaller institutions say programs must emphasize systems design, AI‑driven tooling, cross‑disciplinary skills, and workplace resilience. Deans from Willamette and William & Mary told University Business that programs which fail to adapt risk harming graduates’ job prospects, while institutions that embed applied AI research and industry partnerships can preserve placement outcomes. Experts frame the shift not as the end of CS but as a curricular pivot: schools must teach higher‑order engineering judgment, human‑AI interaction, and product design rather than routine implementation. Admissions and career offices are already adjusting messaging to prospective students and employers about new competencies and pathways.