24潮·2025-12-19 02:04Core Viewpoint - The article emphasizes that electricity has become a critical constraint on the development of artificial intelligence (AI), with the demand for power surging due to the exponential growth of AI models and data centers [2][14]. Group 1: AI Power Consumption - ChatGPT consumes approximately 2.9 watt-hours per response, which is nearly ten times the energy used by a traditional Google search, leading to a daily consumption of over 500,000 kilowatt-hours [3][9]. - The energy required for training AI models has significantly increased, with GPT-3 consuming 1,287 megawatt-hours for a single training session, enough to power 3,000 Tesla vehicles for 200,000 miles [9][10]. - The projected AI computing power in the U.S. is expected to require about 1,269 terawatt-hours by 2030, accounting for 22% of the total electricity consumption [10][12]. Group 2: Electricity Supply Challenges - The U.S. electricity grid is aging, with 70% of transformers exceeding their 25-year design life, leading to a low load reserve margin of only 20% [10][11]. - The average outage duration for U.S. users reached 662.6 minutes in 2024, a year-on-year increase of 80.74%, with states like Virginia and Texas experiencing even longer outages [11]. - The demand for electricity from AI is characterized by "pulse-like" spikes, which poses significant challenges to grid stability [10][11]. Group 3: Renewable Energy Solutions - Solar power combined with energy storage is viewed as the most viable solution to meet the growing electricity demands of AI, given its economic advantages and shorter construction timelines compared to other energy sources [15][17]. - The cost of solar power generation is the lowest among various energy sources, with prices ranging from $0.038 to $0.078 per kWh, making it an attractive option for data centers [17][18]. - Major tech companies like Google, Microsoft, and Amazon have set ambitious goals for achieving 100% renewable energy for their data centers by 2030, indicating a strong commitment to sustainable energy solutions [20][21].