







Tech sector says only carbon-emitting gas plants are reliable enough today to power the EU’s AI goals.
AI’s climate impact is much smaller than many feared
New findings challenge the widespread belief that AI is an environmental villain. By analyzing U.S. economic data and AI usage across industries, researchers discovered that AI’s energy consumption—while significant locally—barely registers at national or global scales. Even more surprising, AI could help accelerate green technologies rather than hinder them.

AI’s energy usage is less than previously thought | Waterloo News
Contrary to popular belief, new research finds that the use of artificial intelligence has a minimal effect on global greenhouse gas emissions and may actually benefit the environment and the

Artificial Intelligence
Europe is transforming into the AI continent by fostering the development and uptake of new AI applications while ensuring that AI remains safe and respect EU values.
Bridging the gap: inequalities that divide those who can and cannot create sustainable outcomes with AI
The widespread use of AI technologies impacts individuals, organisations, and societies in ways that warrant more comprehensive investigation. Inequalities in benefiting from AI advancements may le...

The fallout from the AI-fuelled dash for gas
A supply crunch in giant turbines for gas-powered plants threatens environmental and geopolitical consequences

Environmental Cost of Artificial Intelligence: Carbon, Water, and Land Footprints
AI’s rapid growth drives huge energy, water, and land use, raising environmental and equity challenges across its global infrastructure.

Environmental Cost of Artificial Intelligence: Carbon, Water, and Land Footprints
AI’s rapid growth drives huge energy, water, and land use, raising environmental and equity challenges across its global infrastructure.

Google’s exponential path to climate-wrecking digital bloat
Google’s latest report reveals a completely unprecedented rise in energy consumption – more than any of us expected. Generative AI is a climate carbon bomb.

Ecology is not yet ready for AI—and why that matters
Ecology is not yet ready for AI—and why that matters

The weather and climate science AI revolution isn’t revolutionary
Machine learning has its limits—how is it being used?

AI FOR EPISTEMICS & COORDINATION
Civilization and technology have radically improved the human condition. Nonetheless, the world sometimes goes in directions which essentially nobody would prefer — e.g., nuclear arms races, unexpected financial crashes, predatory marketing, or ubiquitous political misinformation.
The AI we want without the data centers we don't: It's possible | Op-Ed
We don’t need to burn our climate commitments or pave over fields and ranches to realize the benefits of artificial intelligence.
Europe 2031 — What getting AI wrong means for us
A five-year scenario about AI and Europe's impending slide into irrelevance, with a 2034 epilogue that describes how the collapse of the European model could have been prevented.


How much of a problem is AI’s water use?
AI’s water footprint is growing, but location and cooling technology make a difference.

The ecology of AI risk
Understanding the risk from applications of artificial intelligence (AI) is a critical part of creating AI governance strategies. Building on the idea of studying AI using ecological and evolutionary perspectives, we propose a novel approach for assessing risk from AI using indicators derived from theoretical ecology models. We illustrate our methods by deriving 3 indicators from population and ecosystem models originating from theoretical ecology. We conclude with a discussion of limitations of our analysis and considerations for improving AI governance policy.