Overview
AI's systemic nature and potential as a General Purpose Technology pose complex challenges for energy consumption forecasting and management. The field of AI electricity footprint estimation lacks comprehensive scenarios and forecasts, divergent modeling methodologies, and varying perceptions of AI's future.
This paper aims to explore the complex relationship between artificial intelligence (AI) development and electricity systems and goes beying forecasting by using system dynamics modeling.
The analysis of AI energy consumption scenarios from 2025 to 2035 reveals diverse trajectories with significant implications for future energy use and sustainability. These divergent paths underscore the critical role of AI development strategies, policy frameworks, and governance in shaping the future energy landscape and environmental impact of AI technologies.
