Artificial Intelligences Energy Paradox 2025

Key areas to monitor concerning AI’s energy impact, 2024-2025 outlook FIGURE 8 Al energy impact outlook4 1 3 2 Innovations in technology and designTransparent and efficient AI electricity useEffective ecosystem collaborationAI deployment for decarbonization Partnerships between AI developers, energy stakeholders and policy-makers can help reduce inefficiencies, address regulatory gaps and promote regional decarbonization.As explored previously, AI’s rapid expansion and increased electricity demand will likely present energy system challenges. However, the technology also brings opportunities and benefits, including enhanced renewable infrastructure, grid stability, and demand management, which reduce electricity consumption and support decarbonization. Monitoring the four key areas highlighted below will be crucial for assessing these impacts. AI deployment for decarbonization Prioritizing AI applications in energy management could significantly support climate and environmental goals by helping grids meet rising electricity demand while advancing decarbonization targets. Enhanced research and collaboration in these areas may yield substantial environmental and economic benefits by driving efficiency and accelerating the integration of renewables. Transparent and efficient AI electricity use Reliable data collection and research on AI’s electricity demand and energy efficiency will be crucial for developing realistic AI growth frameworks. Understanding the energy differences between generative AI and traditional ML can support regulations and innovations that balance AI’s benefits with its environmental impact. Effective data management can also play a role in reducing AI’s energy footprint in the interim ahead of application of more large-scale solutions. Innovations in technology and design Energy-efficient innovations in areas such as chip development, model design, data centre design and operations, and cooling will help to manage growing electricity demand and reduce AI’s carbon footprint. Effective ecosystem collaboration: Partnerships, policy support and global alignment Collaboration and policy support are key to sustainable AI. Partnerships between AI developers, energy stakeholders and policymakers can help reduce inefficiencies, address regulatory gaps and promote regional decarbonization. For example, with support from the Forum’s global AI Energy Impact Initiative, the Centre for the Fourth Industrial Revolution Azerbaijan is leading work on the adaptation of global use cases into multistakeholder pilots within the local context aligned with energy transition ambitions. Global alignment with localized solutions will be crucial for driving transparency, building acceptance and creating pathways for AI-driven energy innovations, while ensuring adaptability and strengthening AI’s social license to operate. Learn more in the Forum’s 2025 A Blueprint for Intelligent Economies white paper.4.2 AI and energy – 2024 to 2025 outlook Artificial Intelligence’s Energy Paradox: Balancing Challenges and Opportunities 22