Abstract: As the coal industry advances towards intelligent transformation, the application of artificial intelligence (AI) technology in the entire coal mining process has gradually deepened. This study first reviews the development history of coal mining technology in China, with a focus on analyzing the evolution of AI technology at different stages and its impact on the intelligentization of coal mines. In response to the diverse intelligent application scenarios required throughout the coal mining process, a next-generation AI application framework for intelligent mining has been proposed, integrating sensing, decision-making, and control. Guided by scenario orientation, data-driven approaches, algorithm-centric design, and platform-based implementation, a new technical workflow for scenario-based AI applications in intelligent mining has been developed. Through actual case analysis, the effectiveness of scenario-based AI applications in intelligent coal mining is demonstrated. It is evident that the application of AI significantly enhances the production efficiency, safety, and sustainability of coal mines, driving the intelligent transformation of the coal industry. As the construction of intelligent mines continues to progress, the coal industry is expected to move towards a more efficient, safer, and greener future, contributing to the achievement of “dual carbon” goals and the optimization of the energy structure.