Three Takeaways About AI’s Energy Use and Climate Impacts
- In 2024, global data centers consumed roughly 415 terawatt-hours of electricity, about 1.5% of worldwide use, driven largely by AI demand.
- This surge in energy use results from rapid AI development and expansion of data centers, with emissions varying by location and power source.
- Key details include AI accounting for up to 20% of data center power, Google's 48% emissions increase since 2019, and methane-powered xAI data centers in Tennessee.
- Google stated in 2024 that reducing emissions remains challenging due to rising AI compute intensity, while the International Energy Agency forecasts data center energy use doubling by 2030.
- These trends imply AI’s growth poses significant challenges for energy infrastructure, necessitating coordinated policies, efficient hardware, and investment in diverse power sources.
18 Articles
18 Articles
AI Data Centers, mRNA, & Chemtrails: Highway To The Danger Zone
In this episode, I’m joined by Sons of Liberty Media contributor Suzanne Hamner and Dan Franklin. We’ll be discussing the amount of power that the new AI datacenters will be consuming and questioning the impact of this on the People, as well as the environment. We’ll also see how mRNA and chemtrails will play in …
How Much Electricity It Actually Takes to Use AI May Surprise You
By now, most of us should be vaguely aware that artificial intelligence is hungry for power. Even if you don't know the exact numbers, the charge that "AI is bad for the environment" is well-documented, bubbling from sources ranging from mainstream press to pop-science YouTube channels to tech trade media. Still, the AI industry as we know it today is young. Though startups and big tech firms have been plugging away on large language models (LLM…
Three takeaways about AI’s energy use and climate impacts
This week, we published Power Hungry, a package all about AI and energy. At the center of this package is the most comprehensive look yet at AI’s growing power demand, if I do say so myself. This data-heavy story is the result of over six months of reporting by me and my colleague James O’Donnell (and the work of many others on our team). Over that time, with the help of leading researchers, we quantified the energy and emissions impacts of ind…
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