The artificial intelligence industry faces challenges such as core technology limitations, insufficient industrial chain collaboration, and weak ethical awareness, making it difficult to meet the demands of high-quality development driven by new productive forces. This paper focuses on the technical foundation, transformation mechanisms, institutional norms, and talent support to develop a systematic and collaborative innovation path, promoting the deep integration of industry-education collaboration and value leadership mechanisms. By optimizing the curriculum system, building high-level platforms, and improving governance structures, the paper aims to strengthen the foundational role of the education system in technological innovation, thereby fostering an autonomous, secure, and efficient innovation ecosystem in the artificial intelligence industry.