At the 17th Annual Meeting of the New Champions, also known as the Summer Davos Forum, held in Dalian, Gavin McKenzie, Managing Director at Accenture PLC (NYSE: ACN) and Head of Trading, Investments and Optimization for Southeast Asia, shared his insights with the press. He emphasized that enhancing the resilience of energy systems has become a critical priority for nations and corporations alike, given the ongoing restructuring of global supply chains and the energy transition. During the forum, Accenture, in collaboration with the World Economic Forum, released the latest edition of the Energy Transition Index report. A key finding from this report is the urgent need for the global energy system to bolster its resilience to address challenges stemming from geopolitical shifts, supply chain volatility, and rapidly growing energy demand.

Corporate Strategies for Global Expansion

Discussing the challenges for companies expanding internationally, McKenzie noted that in the face of increasing global market fragmentation and uncertainty, businesses should prioritize energy infrastructure development and the diversification of energy sources. Securing energy supply is fundamental to strengthening the risk resilience of their supply chains. He added that as countries continue to advance their green transitions, environmental protection and carbon-neutrality related regulatory policies are being refined. While regulation often requires a balance between development and constraint, higher standards overall will drive corporate innovation, fostering the creation of new products, new supply chain models, and novel market solutions.

The AI-Driven Industrial Transformation

Regarding the industrial transformation driven by artificial intelligence, McKenzie stated that a decisive factor for future corporate competitiveness will be the ability to access stable, secure, and resilient energy supplies. He pointed out that the power requirements for AI model training and data center operations are growing rapidly, making the coordinated planning of data centers and energy systems increasingly vital. Currently, some technology firms have begun directly procuring electricity and even investing in power generation assets to ensure long-term, stable energy support for their computing infrastructure. McKenzie believes that renewable energy, energy storage technologies, and solutions related to the energy transition will play a crucial role in this process. Compared to traditional centralized power generation, technologies like wind, solar, and battery storage offer greater flexibility and are more suitable for integrated deployment with high-energy-consumption facilities such as data centers, thereby improving energy utilization efficiency and system stability.

AI's Role in the Energy Sector

Simultaneously, he sees significant commercial opportunities for AI within the energy sector itself. McKenzie explained that with the proliferation of electric vehicles, the expansion of data centers, and the rising share of renewable energy, grid operations are becoming increasingly complex, and traditional, relatively stable electricity demand curves are being disrupted. AI can assist power systems in more accurately predicting fluctuating energy demands and optimizing the dispatch of diverse energy assets like wind, solar, and storage, thereby enhancing grid operational efficiency and energy utilization.

Navigating a Period of Rapid Evolution

However, he also cautioned that the integration of AI and energy is still in a phase of rapid evolution. Considerable uncertainty remains in the market regarding whether future compute growth will persistently drive up energy demand, with most industry assessments of related trends based on developments from the past 12 to 18 months. The coming year will be a critical observation window for this field. During this period, the market will gain a clearer view of which companies are taking a leading position in balancing compute growth with the energy transition, and how the energy demand landscape will evolve in the AI era.