AI data center server racks require 40 to 100 kilowatts of electricity each, compared to 5 to 10 kilowatts for conventional racks, and a single AI query uses 10 to 15 times more electricity than a traditional web search, according to figures cited from Hanwha Data Centers. Natural gas supplied 40% of U.S. data center energy in 2024, with renewables at 24%, nuclear and coal at 20% and 15% respectively, according to the International Energy Agency; RBC Capital Markets commodity strategist Christopher Louney projected natural gas demand from data centers could increase by close to 20% by 2030. Hyperscalers and developers are projected to spend $7.6 trillion on AI data centers through 2031, according to Goldman Sachs, while the U.S. Energy Information Administration projects data center growth will help increase U.S. solar generation by 21% in 2026 and 18% in 2027. In June, Chevron and Microsoft announced a 20-year deal for Chevron to supply off-meter natural gas for a 2.67 gigawatt power plant and AI data center near Pecos, Texas.
The scale of power demand is reshaping energy markets: the U.S. Energy Information Administration projects 44.9 billion cubic feet per day of new pipeline capacity coming online in 2026 and 2027, with 66% concentrated in Texas and Louisiana, states already seeing significant data center growth. The trend toward on-site gas generation and off-meter power plants, encouraged by the Trump administration, signals a structural shift in how large data centers relate to public utility grids, with consequences for ratepayers and emissions policy.
The snippet directly addresses grid strain and energy mix shifts driven by AI data center demand — a core Power & Energy topic — and appears to provide fresh regional or national context beyond what the Digest's already-published ratepayer and demand-response stories covered.