Computer science programs and classroom practice are adjusting to an AI‑driven labor market. Departments nationwide report falling undergraduate and graduate CS enrollments as employers change entry‑level hiring, and faculty argue curricula must shift from routine coding to systems design and AI‑augmented problem solving. At the same time, instructors are teaching new practical skills: prompt engineering and AI literacy. Educational pieces outline step‑by‑step prompt techniques and recommend embedding those skills into coursework so students graduate ready to use AI tools responsibly. Colleges are prioritizing experiential learning and advanced systems thinking to align graduates with employer expectations. For deans and curriculum committees, the immediate tasks are twofold: redesign core CS programs to emphasize applied AI competencies, and train faculty to teach prompt engineering and AI ethics. Employers, accreditation bodies, and career services will play a key role in validating new program outcomes. Clarification: Prompt engineering means designing inputs (prompts) to guide generative AI toward useful, reproducible outputs — a practical skill increasingly taught in applied computing and communications courses.