Core Insights - The report by KPMG highlights the application of AI technology in the hydrogen energy sector, emphasizing its role in enhancing efficiency and reducing costs across the entire hydrogen value chain [1][2] - The integration of AI and hydrogen energy is seen as a key driver for achieving China's dual carbon goals, with both sectors being identified as strategic emerging industries in the national development plan [2] Group 1: AI Technology in Hydrogen Energy - AI is facilitating intelligent upgrades and structural transformations in the hydrogen industry, with numerous AI-related hydrogen projects being implemented or planned globally [1] - The application of AI in green hydrogen production is experiencing significant growth, particularly in optimizing parameters like current density and temperature to reduce electricity consumption [1] Group 2: Cost Reduction and Efficiency - The report indicates that AI can quickly identify hydrogen storage materials that are high in capacity, safe, and low-cost, thereby lowering R&D and production costs in the hydrogen sector [1] - The synergy between hydrogen energy development and AI innovation is enhancing overall efficiency in the hydrogen supply chain [2] Group 3: Strategic Importance - The integration of AI technologies such as machine learning and natural language processing is essential for the advancement of the hydrogen industry, driving comprehensive technological upgrades [2] - Continuous breakthroughs in hydrogen technology and the expansion of application scenarios are expected to contribute significantly to global energy system transformation and carbon neutrality goals [2]