The energy demands from AI data centers are expected to skyrocket, quadrupling by 2030, according to a report from the International Energy Agency (IEA). This surge in energy consumption will be driven primarily by the increasing use of artificial intelligence in data centers, which are projected to consume as much electricity as Japan does today, approximately 945 terawatt-hours (TWh).
Global energy consumption from data centers is expected to more than double by 2030, driven by AI adoption. In the US, data centers will account for almost half of the growth in electricity demand between now and 2030. Renewables are expected to meet nearly 50% of the growth in energy demand, while coal and natural gas will remain significant energy sources.
The United States will see significant growth in energy consumption from data centers, with them consuming more electricity than manufacturing energy-intensive goods like aluminum, steel, cement, and chemicals combined. China will also experience a substantial increase in energy demand, rising by 170%, driven by the growing adoption of AI technology. In Europe, energy demand is projected to increase by 70% over the next few years.
The rapid growth in energy demand from AI data centers poses both opportunities and challenges. On the one hand, it could accelerate innovation in energy technologies like batteries and solar PV, potentially reducing emissions. On the other hand, it may strain energy security and infrastructure, emphasizing the need for a diverse range of energy sources and improved energy efficiency.
