Artificial intelligence is rapidly becoming a major consumer of electricity, and its growing energy demands could place increasing pressure on power systems worldwide. According to a recent United Nations report highlighted by Live Science, AI-related infrastructure may consume up to 3% of global electricity by 2030, raising concerns about sustainability, energy security, and climate goals.
The report points to the explosive growth of data centers that support AI model training and deployment. These facilities require vast amounts of computing power, much of which comes from energy-intensive graphics processing units and specialized AI accelerators. As companies continue investing heavily in generative AI, cloud computing, and large language models, electricity consumption associated with these technologies is expected to rise sharply.
Researchers estimate that data centers could see their electricity use more than double over the coming years. While AI promises productivity gains and technological advances across industries, the report emphasizes that these benefits come with environmental costs. Increased electricity demand may place additional strain on power grids, particularly in regions where renewable energy capacity is not expanding quickly enough to meet new requirements.
The report also highlights concerns about unequal impacts across countries. Wealthier nations and major technology companies are driving much of the AI boom, while developing countries may face challenges related to energy access, infrastructure investment, and competition for resources. Policymakers are therefore being urged to consider the broader social and environmental consequences of AI deployment.
At the same time, the report notes that artificial intelligence could contribute to solutions for climate and energy challenges. AI systems are already being used to improve energy efficiency, optimize power grid operations, accelerate scientific research, and support renewable energy integration. Whether the technology ultimately delivers a net environmental benefit may depend on how efficiently future AI systems are designed and powered.
The findings underscore a growing tension between technological progress and sustainability. As governments and industry leaders race to expand AI capabilities, the energy footprint of these systems is becoming an increasingly important consideration. The report argues that careful planning, investment in clean energy, and improvements in computing efficiency will be essential to ensure that AI’s growth does not come at the expense of global climate and energy objectives.