Data-Center Buildout Could Push U.S. Power-Sector Emissions 42% Above 2025 Levels by 2030
A Sierra Club analysis projects that U.S. power-sector carbon dioxide emissions could be 42% higher in 2030 than in 2025, driven by fossil-fuel infrastructure built to meet data-center electricity demand. The Verge reported the analysis on October 29, 2026.
The projected increase is 618 million tons by the end of the decade, and that figure assumes the planned AI projects are constructed. The Verge translated it into household terms: roughly the carbon pollution from the electricity use of 128,788,523 homes in one year. The same report said the added emissions would essentially wipe out 15 years of U.S. greenhouse gas reductions. Net U.S. emissions fell from a peak of about 6.58 billion metric tons in 2007 to about 5.35 billion metric tons in 2025.
Bloomberg, which published its article on October 28, 2026, cited the same Sierra Club analysis that the boom would cancel out 15 years of declines in power-sector emissions. Bloomberg put the power sector's 2030 emissions under buildout projections at 2.1 billion metric tons of carbon dioxide.
The generation mix behind those numbers, meaning the share of electricity supplied by each fuel such as gas, coal, or renewables, is the variable most worth watching. Reuters reported on July 1, 2026 that gas plants planned to serve U.S. data centers were estimated to generate 143 gigawatts of electricity, a unit of generating capacity, and to produce 662 million tons per year of greenhouse gas emissions. On the demand side, the Sierra Club's Dirty Truth Report cites a Rhodium Group estimate that data-center demand could grow by 338 percent by 2030 under a high-growth scenario.
Academic work points the same direction at a different scale. A June study by academic researchers forecast that electricity demand from data centers and crypto mines could push power-sector emissions up 28% by 2030, compared with a scenario with no data-center growth. The Environmental Defense Fund, in a separate report, found the U.S. is planning to build more fossil-fuel capacity than it has in a decade. A Sierra Club article also states that a new study shows emissions grow when the oil and gas industry uses AI, a thread that extends the question beyond the power grid.
These figures are scenario outputs rather than measured emissions. Each rests on assumptions about how much of the planned pipeline actually gets built and what fuels it. The 42% figure, the 28% academic estimate and the 2.1 billion metric ton projection are useful for bounding the outcome, but none of them is an observed result.
The broader context here is that the emissions question depends less on data-center load itself than on the generation that serves it. Power plants are long-lived assets, so siting and fuel decisions made in the next few years will shape the 2030 totals more than any single efficiency gain inside a server rack. The planning activity the EDF describes is an announcement-stage signal, and its emissions consequences will only materialize if those plants are built and dispatched, meaning called on to run.
The same numbers also carry a more hopeful reading. U.S. net emissions have already fallen substantially from their 2007 peak, which indicates the power sector can move in the other direction when capacity decisions change. The planning cycle that could add gas capacity could also add lower-emitting supply, and the load growth that creates the problem also creates the procurement volume that could finance the alternative. Whether that happens depends on choices not yet made, and the next construction cycle will show which way they go.
