Group 1 - The report by KPMG China highlights the integration of artificial intelligence (AI) in the energy sector, emphasizing its role in ensuring energy security and supporting green transformation [1] - Energy companies are encouraged to develop AI strategies driven by business objectives that align with their core competencies and create value [1][2] - The report surveyed 163 energy executives from eight countries, analyzing the current application of AI in the energy industry and providing insights for governments and enterprises [1] Group 2 - Many companies are implementing cost-cutting measures and utilizing AI to optimize operations, leading to increased efficiency and higher returns on investment [2] - The energy sector is expected to undergo significant changes by 2030, with AI, automation, decentralization, and decarbonization reshaping business operations [2] Group 3 - Despite the transformative potential of AI, the energy industry faces challenges such as poor data quality, employee resistance, ethical risks, and insufficient investment [3] - Over half of the surveyed energy companies reported issues with data quality due to inconsistent data formats, and many lack clear AI leadership [3] - Recommendations include establishing transparent governance frameworks, implementing strong risk management, and investing in data governance and IT infrastructure [3] Group 4 - Shenzhen is positioned as a leader in the energy digital transformation, aiming to create a new energy industry cluster by 2025, which will drive innovation and collaboration among small and medium enterprises [4] - The city is developing a "China solution" for the global energy revolution, with the potential for the digital energy industry to reach a trillion-level market [4] - The recently released "2025 Shenzhen Digital Energy White Paper" focuses on six key areas, aiming to establish Shenzhen as a global leader in energy management and innovation [4]

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]