Core Insights - The 2025 International Digital Energy Exhibition was held in Shenzhen from September 18 to 21, focusing on the integration of artificial intelligence (AI) in the energy sector [1] - KPMG China emphasized the transformative potential of AI in reducing production costs and enhancing product competitiveness within the energy industry [1] - A report titled "Smart Energy - AI-Driven Transformation and Value Restructuring" was released, analyzing the current application of AI in the energy sector based on a survey of 163 energy executives from eight countries [1][2] Group 1 - The report suggests that energy companies should develop AI strategies driven by business objectives that align with their core competencies and create value [2] - Companies are encouraged to establish transparent governance frameworks and invest in data governance, cloud platforms, and hybrid IT infrastructure for comprehensive AI integration [2] - KPMG noted that AI applications in the energy sector have expanded from pilot projects to large-scale implementations, significantly improving operational efficiency, asset optimization, safety, sustainability, and predictive maintenance [2] Group 2 - Many companies have implemented cost-reduction plans utilizing AI to optimize operational processes, leading to efficiency gains and higher returns on investment [2] - The report highlights challenges in the development of AI in the energy sector, including data quality issues, regulatory complexities, and budget constraints [2] - Over half of the surveyed energy companies reported data quality issues due to inconsistent data formats, and only a few have established AI excellence centers [2] Group 3 - KPMG China also released the Chinese version of the "World Energy Statistical Yearbook 2025" during the forum, providing data support and strategic insights for the green and digital transformation of the energy industry [3]