Training artificial intelligence consumes a significant amount of energy. Chatbots and many other AI models count hundreds of millions of weekly users worldwide who use them to perform their tasks more easily, whether it’s writing an email or coding. All of this brings substantial bills for technology companies.
Visual Capitalist reported that training OpenAI’s chatbot GPT-4 consumed up to 62,000 megawatt hours, equivalent to the energy needs of a thousand households over five to six years. This can be confirmed when looking at Microsoft’s energy consumption in terawatt hours and the associated carbon emissions in millions of metric tons of CO2 over the last four years, according to the company’s 2024 Sustainability Report.
In just four years, Microsoft’s electricity consumption has more than doubled from 11 to 24 terawatt hours. For context, the entire country of Jordan, with a population of 11 million, consumes 20 terawatt hours of electricity in a year. This surge in electricity consumption has been accompanied by a 42 percent increase in total carbon emissions, indicating a relatively growing share of renewable energy sources at Microsoft.
Both trends coincide with the use of Microsoft’s Azure platform, which enables clients to perform cloud computing for training and running AI models, of which OpenAI’s ChatGPT is the most prominent. In fact, Microsoft has spent ‘hundreds of millions of dollars’ developing supercomputers solely for ChatGPT.
