In the era of algorithmic ubiquity and New Quality Productive Forces (NQPF), county-level media in China are undergoing radical ontological transformation. Breslin and Ren (2024) define NQPF as China's theoretical framework for shifting from resource-intensive growth to technology-driven high-quality development, yet the translation of productive efficiency into educational value requires specific mechanisms. This study argues that AIGC-enabled media addresses this gap by generating "Cognitive Surplus" liberating human creators from repetitive tasks (e.g., historical photo restoration) to focus on higher-order "meaning construction" and "curriculum design". This study argued that JMCC has constructed a 1+N+1 multimodal learning ecosystem that operationalizes United Nations Sustainable Development Goal (SDG) 11 by bridging the urban-rural digital divide. Through detailed analysis of the Jinsha Relics and Wonderful Series campaigns, it demonstrates how AIGC facilitates the transmission of Object Authenticity and the creation of Synthetic Authenticity, thereby fostering a dynamic, inter-generational cultural curriculum. However, this technological acceleration introduces critical pedagogical risks, including algorithmic homogeneity and digital suspension. This paper introduces a human-machine collaborative framework designed to ensure the digitalization of heritage functions as a robust mechanism for public education and rural revitalization.