Source: Chartbook
While U.S. renewable energy capacity has expanded dramatically, AI model training is consuming electricity at a 40% annual efficiency gain rate—meaning chip makers are capturing productivity improvements faster than the grid can source them from wind and solar. Data center developers now compete directly with decarbonization goals for transmission capacity and water resources, particularly in water-scarce regions where both cooling and renewable generation depend on the same scarce input. Efficiency gains in AI chips no longer translate to reduced energy demand when training duration is simultaneously increasing 25% annually.