Schneider Electric outlines challenges linked to increasing energy consumption in AI-supporting data centers.
AI's Energy Consumption Challenge
Energy consumption by AI data centers continues to increase, raising concerns among specialists. This rise is driven by growing demand for AI services and may put significant strain on power grids. Environmental impacts also raise alarms if consumption continues at its current pace.
Scenarios of Energy Demand Growth
Schneider Electric examines four future scenarios for energy demand: Sustainable AI, Limits to Growth, Abundance Without Boundaries, and Energy Crisis. Each scenario is detailed with assumptions about potential pathways and consequences. All scenarios anticipate growth, but differ in intensity and associated risks.
Recommendations for Energy Management
The report offers recommendations in three key areas: AI infrastructure, model development, and governance standards. This includes the use of highly efficient energy-saving equipment, model optimization techniques, and the creation of policies for sustainable AI technology development to prevent local and global energy deficits.
Schneider Electric proposes measures to prevent an energy crisis related to increasing AI energy consumption and calls for discussion and decision-making at a global level.
