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Sierra Club Estimates AI Data Centers Could Add 618 Million Tons of Emissions

AI summary

Sierra Club analysis obtained by Bloomberg estimates that planned US AI data centers could add 618 million metric tons to power-sector emissions from 2025 through 2030, a 42% increase that could effectively reverse 15 years of reductions. The estimate is higher than the group’s projection from a year and a half earlier, while Rhodium Group’s highest-emissions scenario projects US power-sector emissions in 2040 to remain 24% below 2025 levels. Outcomes depend on how many projects are built, their power sources, and renewable deployment.

In-depth insight

The Sierra Club projection highlights the potential scale of AI data centers’ energy and emissions impact, while the contrasting Rhodium Group scenario shows how uncertainty about renewable power and project completion affects the outlook.

The AI buildout's carbon bill could undo 15 years of power sector emissions cuts

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In a nutshell: Data centers have already drawn widespread resistance over their impact on electricity prices and water supplies, and estimates of how their energy use might affect carbon emissions have recently grown. Still, projections vary widely, owing to uncertainty over renewables and over how many data centers will actually be built in the next several years.

In a report obtained by Bloomberg, the environmental nonprofit Sierra Club estimates that planned US AI data centers would add 618 million metric tons to the power sector's carbon emissions between 2025 and 2030, a 42% increase. The figure would effectively reverse 15 years of greenhouse gas reductions from electricity generation.

Adding that much CO2 would bring the sector's 2030 emissions to 2.1 billion metric tons. The latest estimate of the AI buildout's effect is between two and four times what the group would have projected a year and a half ago.

#Sierra Club#Rhodium Group#Sightline Climate#Amazon#Environmental Defense Fund

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