Amazon is powering its new texas ai data center with a dedicated methane gas station that will emit…
amazon is powering its new texas ai data center with a dedicated methane gas station that will emit about 33 million tonnes of co2 a year, the single biggest source of pollution in the united states, while global data center electricity is set to double from 415 to 945 terawatt-hours by 2030. each tonne of co2 ai emits is claimed to cut 5-10 tonnes elsewhere.
green ai is only green if the electricity is clean before the training begins.
Context
Ars Technica (Aug 10, 2026) reports Amazon is backing a natural gas power plant in Texas that, per The New York Times, could become the largest single source of climate pollution in the United States. Distilled (Aug 7) says Amazon acquired the GW Ranch site in West Texas, where a 7.65 GW gas plant will power its first off-grid AI data center, and ENR (Aug 11) says Amazon disclosed ownership.
The IEA says data centres accounted for around 1.5 percent of world electricity consumption in 2024, or 415 terawatt-hours.
The Texas gas plant for an Amazon AI data center and the 415 terawatt-hours match. The 33 million tonnes of CO2 a year figure, the 945 terawatt-hours by 2030 and the claim that each tonne cuts 5 to 10 tonnes elsewhere were not seen in the sources read, so unsupported here, not refuted. in the excerpts read. 'Dedicated methane gas station' is the post's wording; the sources say a gas power plant. 'Green AI is only green if the electricity is clean' is the author's opinion.
Related work
- Distilled: Amazon is behind one of the largest planned gas power plants ↗Aug 7, 2026.
- IEA: executive summary, Energy and AI ↗Data centres 1.5% of world electricity in 2024.
- IEA: AI is set to drive surging electricity demand from data centres ↗Apr 10, 2025.
Watch next
- Find the source for 33 million tonnes and the 945 terawatt-hour projection.
Sources
Provenance
The note above is reproduced unedited from the original post, first published on Threads on 1 October 2026 at 18:17 IST. Sources are the papers and datasets the note draws on.
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