Check these stats out on our YouTube channel called Data Center Battlegrounds! I’ve been doing YouTube for the past week and its been fun experimenting with the content ideas. So far, I’ve been doing the following content types on the following days:

ANDDDDD we got 7 new subscribers, 4.4 hours of watch time, and 1.5K views! Not bad for a channel that’s a week old! I’m also doing a mix of shorts and longer-form videos.

If you got 5 minutes, check these articles out:

Chau 👋,

Nate

Can Gas Keep Up with AI's Growth? | Energy Gang (AI & Energy): As AI data centers drive a surge in energy demand, utilities, gas producers and LNG developers race to keep up. Live from Wood Mackenzie's Gas, LNG and the Future of Energy conference in Texas, Ed Crooks explores how the AI boom, energy security concerns and shifting LNG markets are reshaping the energy transition.

How Google is Taking Energy Efficiency from Server Rooms to Living Rooms (AI & Energy): Ellen Zuckerman shares how the company works on community weatherization and with policymakers to innovate large load tariffs.

Delian Asparouhov and Philip Johnston on Making the Case for Orbital Data Centers (AI & Data Centers/Hardware): This episode of Space Minds, from SpaceNews' recent event on orbital data centers, has Jeff Foust talking with Founders Fund's Delian Asparouhov about why he's warming to orbital data centers, then with Philip Johnston, CEO of Starcloud.

Generative AI, Propaganda, and Digital Authoritarianism: Comparative Insights from Six Democratically Weakened Countries (AI & Social/Economic Impacts): This study responds to calls for comparative international research on GenAI propaganda by examining six countries (Bolivia, Hungary, India, Nigeria, Tunisia, and Turkey) where distinctions between authoritarian and democratic propaganda increasingly blur. Authors: Beacken et al. Journal: Big Data & Society.

From Perception to Action: Can UI Interventions Foster Sustainable LLM Chatbot Use? (AI & Energy): Researchers built and tested a chatbot UI prototype with mode selection, energy-use feedback, and usage dashboards over a five-day study. Most users underestimated AI energy consumption, but the intervention nudged them toward energy-efficient modes, with 55.8% of logged prompts using that setting. Authors: Patkar et al.

The Environmental Cost of LLMs in AIED: Reporting and Practices (AI & Environment): A literature review of AIED 2025 conference papers finds that while most projects used large language models, few reported their computational or environmental costs. The authors propose standardized measurement methods and tools to help researchers transparently report the carbon footprint of LLMs in education. Authors: Eimler et al.

Out of Gas: Managing the Decline of Gas in Australia (AI & Energy): A roadmap for managing the structural decline of gas demand in Australia, with coordinated policy steps to phase out gas as electrification accelerates. Authoring Body: Grattan Institute.

The Environmental Cost of Artificial Intelligence: Carbon, Water, and Land Footprints (AI & Sustainability): A comprehensive UN assessment of AI's carbon, water, and land footprints, projecting data centers could consume 945 TWh of electricity by 2030 and calling for mandatory reporting of these impacts. Authoring Body: UNU-INWEH.

Best-Practices and Knowledge Sharing for the Development and Deployment of Efficient, Resilient, and High-Performance AI (AI & Sustainability): A G7 framework on best practices and knowledge sharing for developing and deploying efficient, resilient, and high-performance AI systems. Authoring Body: G7 France.

CreaTV Data Center Teach-In 2026 (AI & Environmental Impact): On June 6th, 2026 CreaTV and Open San Jose partnered with Only in San Jose to host a Data Center Teach-In, educating the public on the financial and environmental impact of emerging data center proposals in Santa Clara County and Silicon Valley.

This Polling Should Terrify Utility CEOs (AI & Energy): A look at three indicators: 75% of Americans say their home energy costs have gone up and a quarter now consider utility bills unaffordable; 86% of California voters said executive pay should be tied to affordability; and 71% of Americans would now oppose a data center being built near their home, a 49-point swing in less than a year.

"An Endless Demand for Compute" | Jonathan Ross, Founder of Groq (AI & Multiple Applications): Jonathan Ross, founder of Groq (a hardware chip designed specifically for LLM inference, now in a $20 billion strategic agreement with NVIDIA), on the seemingly bottomless appetite for compute.

Oxygen Conservation (AI & Environment): Committed to scaling conservation to deliver positive environmental and social impact. Location: United Kingdom.

NatureDots (AI & Water Resources): NatureDots' AquaNurch Digital Twin foundational AI model detects and predicts water quality and quantity globally. Location: Asia.

AquaWatch (AI & Water Resources): AquaWatch turns water risk into operational certainty, deploying IoT sensors and AI-powered cameras to deliver continuous environmental intelligence for organizations managing compliance, consent conditions, and operational risk. Location: Other.

Business Insider Data Center Tracker (AI & Infrastructure): Select a data center to display on the map, or search by brand or location. Price: FREE.

AI Resist List (AI & Policy): A list compiled by Karen Hao and other journalists showing which groups are resisting Big Tech and AI. Price: FREE.

Tough Tech Map (AI & Infrastructure): A free, open directory of labs, test beds, core facilities, incubators, and programs that support external teams. Each listing includes clear access information, is organized by sector and capability, and continues to expand as more infrastructure comes online. Price: FREE.

If you have resources that you wish to submit to the AI & Environment Resource Hub, fill out the Google Form! Thank you for suggesting resources to add to the Resource Hub. 🙃

LOLLLL, the memes are endless on r/claudecode after Fable was taken away over the weekend which is the Mythos-class AI model that Anthropic had. Then, the U.S. government came out and was like “Nah fam, you’re gonna have to take that down”.

Thanks for reading the 45th issue of The Climate Code! It means a lot to me and we have more coming in the future, so definitely stick around! 💚

Nate

P.S.

New here? Check out the AI & Environment Resource Hub if you have no idea what it is. 😆