Investment Rating - The industry rating is "Outperform" (maintained) [5] Core Insights - AI is expected to significantly reduce operational costs in the oil and gas sector, with estimates suggesting a potential reduction of approximately $7 per BOE, translating to a decrease of about 17.5% [43] - The coal industry is witnessing advancements in smart mining, with AI applications enhancing disaster warning systems and operational efficiency, potentially increasing profits by 7%-12% and improving ROI by 2%-3% [46] - In the chemical industry, AI is being integrated into material research and intelligent manufacturing, with significant potential for innovation and efficiency improvements [70] Summary by Sections AI in Oil and Gas Exploration - AI is being utilized in geophysical exploration, drilling, and reservoir engineering, with companies like EOG demonstrating a reduction in operational costs through AI integration [12][17][27] - Domestic oil and gas companies are leading in AI deployment, focusing on building high-quality data sets and AI models for exploration and operational optimization [22] AI in Coal Industry - The coal sector is advancing towards smart mining, with companies implementing AI technologies to enhance safety and operational efficiency [44] - The potential for profit enhancement through AI in coal mining is significant, with studies indicating a profit increase of 7%-12% [46] AI in Chemical Industry - AI is being applied in material research and synthesis, with the potential to accelerate the discovery of new materials and optimize production processes [50][70] - The integration of AI in chemical manufacturing is expected to improve production efficiency and quality control, with notable projects already underway [71]