AI for Ecology is a 501(c)(3) nonprofit shepherding the Age of AI into sustainable ecosystems that benefit the Earth, Everyone, Everywhere — with Efficient use of energy and resources.
Global data-center electricity demand is on track to roughly double this decade — from ~415 TWh in 2024 to ~945 TWh by 2030 — as AI build-out accelerates.
Source: IEA, Energy and AI (2026)Nearly 60% of the electricity powering data centers today still comes from fossil sources — natural gas, coal, and oil.
Source: IEA / Carbon Brief (2025–26)The ten warmest years ever recorded have all occurred in the past decade, with 2024 the hottest year in 175 years of global records.
Source: NOAA National Centers for Environmental InformationU.S. residential electricity prices have risen 42% over the last five years — climbing as much as 94% in data-center-heavy regions like Washington, D.C.
Source: U.S. EIA, via PolitiFact (2026)AI-focused data centers' electricity use jumped 50% in 2025 alone — over 16 times faster than overall global electricity demand growth.
Source: IEA, Key Questions on Energy and AI (2026)Groundwater levels are falling in 71% of the world's monitored aquifers, with the pace of decline accelerating in nearly a third of them over the last four decades.
Source: Nature, global groundwater study (2024)"A choice, not physics" — leading scientists argue today's energy-hungry mega data centers reflect a competitive business strategy, not a technical requirement. AI can be built dramatically more efficiently. (Source: Nature commentary, Aug. 2026)
We're a collective of tech and sustainability professionals with hundreds of years of aggregate experience at the top tech companies and sustainable organizations. We shepherd the Age of AI toward ecosystems that benefit the Earth, Everyone, and Everywhere — with Efficient use of energy and resources.
Our operating framework is the Five R's: ROI, Right-Sized, Renewable, Recycled, and Remediate — a practical way to make AI sustainability measurable instead of aspirational.
See the Five R's framework →Part of our Year 1 build: a community tool that estimates the energy, water, and carbon behind AI queries — and a step toward the tokens-to-carbon-output benchmark methodology we're publishing as part of our Certification & Benchmark Framework v1.
Learn more →Illustrative estimates for demo purposes. Will be replaced by the sourced tokens-to-carbon methodology from our Benchmark Framework v1.
One or two sentences summarizing the post. Keep it short — this is a preview card, not the full post.
[Date]One or two sentences summarizing the post. Keep it short — this is a preview card, not the full post.
[Date]One or two sentences summarizing the post. Keep it short — this is a preview card, not the full post.
[Date]