AssetID: 54670862
Headline: UNCAPTIONED: Electricity Demand for Global Data Centres Expected to Double in Five Years, Fueled by AI Growth
Caption: Electricity Demand for Global Data Centres Expected to Double in Five Years, Fueled by AI Growth. The world’s data centres are predicted to double their electricity consumption in the next five years, according to an International Energy Agency (IEA) report. AI’s increasing power requirements, especially for training large language models, will drive much of this surge in demand, putting pressure on utility companies and grid infrastructures. By 2030, data centres could consume 945 terawatt hours (TWh) annually, three times the total electricity consumption of the UK. In tech hubs like the US, Japan, and Malaysia, data centres are expected to account for a large share of electricity demand growth, with AI playing a key role. The IEA report estimates that training GPT-4, OpenAI’s advanced AI model, consumed 42 gigawatt hours (GWh) of power, enough to power 28,500 households in developed countries. AI-driven tasks, such as generating video clips, are incredibly power-hungry, with one six-second clip requiring eight times the energy to charge a mobile phone. Data centres in the US are expected to consume more electricity by 2030 than the combined energy use of the nation’s manufacturing industries like steel, cement, and chemicals. Despite AI’s massive energy consumption, it may also play a role in optimizing energy management, improving data centre efficiency, and accelerating the shift to cleaner energy sources. Energy demand could surpass supply, with US tech companies struggling to secure enough power to run their growing data centres, while new electricity generation is needed to meet AI demands. Political factors, such as tariffs on China’s low-carbon energy infrastructure, could affect the speed of energy transition, particularly for AI-driven data centres in the US and China. Instructions: THIS VIDEO MUST NOT BE EDITED FOR LENGTH TO COMBINE WITH OTHER CONTENT
Keywords: Science & Technology,data centres,electricity demand,AI,International Energy Agency,GPT-4,energy consumption,tech industry,renewable energy,energy infrastructure,tariffs,electricity supply,low-carbon energy,energy efficiency,global trade,power generation,data centre growth
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