Employers and developers are signaling a rapid shift in technical skill expectations as advanced coding models from OpenAI and Anthropic accelerate software automation. A new employer survey and industry reports found many firms believe graduates lack hands‑on experience with AI tools; alumni report self‑teaching via online videos and experimentation rather than formal coursework. The release of GPT‑5.3‑Codex and Claude Opus updates—models that write, test and iterate code autonomously—has intensified calls for curriculum reform in computer science and engineering programs. Academic leaders and employers now debate whether to embed AI‑first workflows into degree requirements, capstone projects, and internship pipelines. Universities face resource and faculty‑training gaps as they weigh rapid curricular changes against accreditation cycles. Career‑services and academic departments are coordinating with employers to speed credentials and experiential learning that reflect workplace AI practices.