Brief Author Note

Night classes for my second Master’s degree are tough, not going to lie! At least, they are super interesting. Right now, we’re discussing the National Security Council (NSC) in class and its relationship to Congress. 😆 

Wonder why I am doing this newsletter now…

Anyway, you care more about what is going on in the world today with AI and environment. Here are the most interesting news articles I found this week:

• Kansas, Michigan regulators approve large load rules for Evergy, Consumers Energy (Utility Dive)

• AI Training Resource List (bunch of folks on LinkedIn contributed to this)

• Building a blueprint for the next clean energy president (Latitude Media)

Watt you later! ⚡️ 

Nate

Quick Links!

• Podcast Episodes

• Scientific Papers

• Policy Documents

• Multimedia

• Organizations

• Tools

• Fellowships Corner

• Submit Resources

Power Hungry: The Climate-Cost Benefit of AI (AI & Environment): This episode features Sophia Adams Bhatti and Bhargav Srinivasa Desikan in a discussion on the carbon cost of AI—from the energy demands of large models to the hidden environmental impacts of digital tools. The conversation explores how organizations can reduce their digital footprint, emerging innovations and policies for sustainable AI, and what law firms must understand as they adopt these technologies.

The Choice Between Data Centers and Carbon Emissions (AI & Data Centers/Hardware): This episode of Sustainability Now examines the growing tension between the rapid expansion of data centers and their underreported carbon emissions. It unpacks how this industrial-scale boom is forcing investors to weigh high returns against sustainability goals in both the tech and real estate sectors.

AI-Powered EV Batteries & Digital Twins: Giovanni Rossi, Electra Vehicles (AI & Energy): Giovanni Rossi of Electra Vehicles joins Storrer’s Edge to discuss how AI and digital twin technologies are transforming electric vehicle batteries. Originating from a NASA project, Electra’s innovations are making batteries smarter, safer, and longer-lasting while shaping the future of sustainable mobility.

Environmental Impact and Net-Zero Pathways for Sustainable Artificial Intelligence Servers in the USA (AI & Policy/ESG): This Nature Sustainability study by Xiao et al. projects that U.S. AI server expansion could generate up to 1,125 million m³ of annual water use and 44 Mt CO₂-equivalent emissions by 2030, making net-zero goals unlikely without major reliance on offsets. While best practices could cut impacts substantially, real progress depends on faster grid decarbonization, improved infrastructure, and coordinated public–private action.

OceanAI: A Conversational Platform for Accurate, Transparent, Near-Real-Time Oceanographic Insights (AI & Ocean Conservation): This arXiv paper by Chen et al. introduces OceanAI, a conversational platform that integrates large language models with real-time NOAA data access to generate verified, data-driven insights and visualizations. It advances transparency and reproducibility in marine forecasting, ecosystem assessment, and water-quality monitoring.

An Ensemble of Deep Learning, Machine Learning, and Statistical Methods Stacked with Meta-Learning for Forecasting Net Energy Consumption in Multi-Carrier Energy Systems: Economic Impact Assessment (AI & Energy): This Energy (ScienceDirect) paper by Abdolsalam Rasouli and Mohammad Rastegar presents a stacked ensemble model combining deep learning, machine learning, and statistical methods to forecast net energy consumption in Multi-Carrier Energy Systems. The approach reduces forecasting errors and peak-hour energy costs by 8–23%, outperforming individual methods.

World Energy Outlook 2025 (AI & Energy): This flagship report from the International Energy Agency provides updated projections on global energy demand, emissions, and investment trends through 2050. It highlights the accelerating role of AI and digital technologies in shaping power systems, efficiency gains, and the clean energy transition.

Lessons from the Edges of Interdisciplinarity – Integrating Artificial Intelligence with the Humanities, Social and Economic Sciences (AI Policy & Governance): Published in the Applied Artificial Intelligence journal, this paper explores how integrating AI research with the humanities and social sciences can improve governance, ethics, and societal understanding. It emphasizes interdisciplinary frameworks for building responsible AI systems that account for human and cultural complexity.

Microsoft Corp (MSFT) Vote Yes: Item #10 – Report on the Risks of Advanced Technology for Oil and Gas Extraction Memo (AI & Sustainability): This As You Sow Coalition proxy memo urges Microsoft shareholders to support a proposal demanding greater transparency on AI’s role in enabling oil and gas extraction. It frames the vote as a step toward aligning corporate AI strategy with climate commitments and mitigating enabled-emissions risks.

Using LLMs with Earth Models (AI & Multiple Applications): This video demonstrates how Atlas (ChatGPT browser) integrates with Earth Index, an Earth Foundation Model, to explore large-scale environmental and geospatial data using natural-language queries.

AI Office / CNECT University Webinar: Europe’s International Engagement in the Area of AI (AI & Multiple Applications): This session from the European Commission’s AI Office and CONNECT University highlights the EU’s global efforts to promote safe, trustworthy, and human-centric AI. It offers insights into the EU’s role in shaping international AI governance through the G7, GPAI, the UN, and global AI summits.

Microsoft’s AI is Powering Big Oil: Why Investors Must Vote FOR Proposal 10 (AI & Environmental Impact): Narrated by Holly Alpine from the Enabled Emissions Campaign, this video exposes how Microsoft’s AI and cloud technologies support fossil fuel expansion despite its sustainability messaging. It calls on investors to support Proposal 10, advocating for greater transparency on AI-enabled emissions and associated climate risks.

Gaia AI (AI & Ecology/Forestry): Based in North America, Gaia AI applies cutting-edge artificial intelligence and robotics to make large-scale tree planting a viable and economical carbon sequestration solution, advancing climate restoration through forestry innovation.

Biospheric AI (AI & Geospatial Analysis): An MIT spin-off headquartered in North America, Biospheric AI develops geospatial software for comprehensive energy demand and grid stress forecasting, supporting smarter, data-driven energy infrastructure planning.

Prophet AI (AI & Agriculture): Operating in North America, Prophet AI builds automation tools to help agriculture meet rising global food demand while achieving environmental, financial, and social sustainability. Its AI-driven systems aim to accelerate efficiency and resilience across the food production ecosystem.

Alba (AI & Sustainability): Alba is a free Chrome extension that brings environmental transparency to AI usage. It overlays real-time estimates of energy, carbon, and water use for every AI query, helping users understand, reduce, and report the footprint of their digital interactions. (FREE!)

AI Water Tech Tracker (AI & Water Resources): A free online database compiling AI-powered water technology companies, this tool provides a comprehensive overview of innovations applying artificial intelligence to global water management and sustainability challenges. (FREE!)

Ocean AI (AI & Ocean Conservation): A free conversational interface that allows users to explore, visualize, and analyze ocean data through an LLM-powered chat tool, advancing accessibility and insight generation in marine science and conservation (FREE!)

Fresh Ventures Studio Fellowship (Europe / Regenerative Entrepreneurs): Based in Rotterdam, this 13-week full-time program (beginning March 2026) brings together 25–30 mission-driven professionals to co-found startups addressing systemic challenges in food and agriculture. Participants form teams, develop regenerative solutions, and gain access to expert mentorship, investors, and a collaborative innovation ecosystem. Rolling applications, early submission encouraged.

Amii ML Exploration Course (Canada / Early-Stage Innovators & Startups): Offered by the Alberta Machine Intelligence Institute (Amii), this program helps startups and entrepreneurs explore machine learning applications, refine technical goals, and evaluate feasibility for AI integration. Participants learn from ML experts through guided workshops and project-based sessions. Applications close November 30, 2025 (11:59 p.m. MST).

Microsoft Research Fellowship (Global / PhD Students in Computer Science & AI): This prestigious fellowship supports outstanding PhD candidates pursuing cutting-edge research in artificial intelligence, computing, and related fields. Fellows receive financial support, mentorship from Microsoft researchers, and opportunities to collaborate on research challenges shaping the future of responsible AI. Applications close December 2, 2025 (11:59 p.m. ET).

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. 🙃 

That’s it for this week.

Thanks for reading the 26th 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. 😆