Scaling Climate Solutions with AI and Global Cooperation

How do we build trust in forest carbon projects and scale their climate impact? A big part of the answer lies is unlocking next-generation measurement, monitoring, reporting, and verification (MMRV) with cutting-edge technology. We’re proud to have contributed to two new reports published by Carbon Direct and Meta, which bring game-changing clarity on harnessing AI and remote sensing to scale high-integrity forest carbon: 🌲 Remote Sensing for Forest Carbon: Barriers, Opportunities, and a Path Forward 🌲 Integrating Meta’s Canopy Height Map into Forest Carbon Methodologies: A Tactical Guidebook These resources dig into the innovations, and barriers, behind scaling high-quality measurement, with guidance for project developers, registries, and buyers. It's a pivotal moment for the carbon market. Scalable solutions are driving investment confidence, mobilising climate action, and championing community leadership - and at Equitable Earth, we’re thrilled to be helping to shape this transformation. Discover the reports below! 👇 #ForestCarbon #AI #RemoteSensing #ClimateAction #Collaboration #EquitableEarth

🌱 We are convinced by the transformative power of AI, and understand its development has profound implications for social and planetary health. These two priorities are not necessarily at odds. The nexus of sustainability and AI is new and complex. To help navigate this territory, we are launching SustAIned Future: a fortnightly Substack newsletter to help demystify the topic. Every two weeks, Elaia’s Sustainability team (Xavier Evans & Louisa Mesnard) will dive into open questions at the intersection of two of the biggest trends of our generation: the rapid development of sophisticated AI and the pressing need to ensure future technology development is sustainable and responsible. Our first edition includes a long-form introductory explainer on all the major outstanding sustainability questions in the development of AI from Lou Welgryn and Théo Alves Da Costa, a mythbusting dive into the numbers behind energy use of AI systems by James O'Donnell and Casey Crownhart, and comprehensive review of current state and future scenarios of energy demand for AI from the International Energy Agency (IEA). Check out the link to the first edition in the comments & subscribe to be the first to receive our next issue!

I wouldn't be a sustainable girly if I didn't take the time to understand the intersection of ESG and AI. “An Introduction to AI and Sustainability” illustrates how AI can be a powerful driver for sustainable development. In order to unlock AI potential for sustainable growth we must: 💸 Invest in AI solutions that support sustainability goals, including equitable digital infrastructures; 🌞 This means minimizing water use and prioritizing renewable energy sources; 📜 Improve policy and governance frameworks around responsible AI use and build capacity in the workforce to implement such designs and policies; ⚒️Most importantly, we cannot prioritize using AI to increase productivity in the workforce or else we will face even further increases in emissions. AI can be a great tool for shaping a better future. Let's keep pushing for innovation that serves both people and the planet. 🌱 #ESG #responsibleAI #sustainability

AI for Climate Change: Solving Environmental Challenges Every Wednesday, I explore how artificial intelligence is shaping our future. Today, let us turn to one of the greatest challenges of our time: climate change. AI is not just a word or science fiction in sustainability, it is already proving its value in measurable ways: 1. Predicting Climate Patterns In the United States, IBM’s “Green Horizon” project has shown how AI-driven weather models can predict air pollution and climate patterns more accurately than traditional models. This gives cities better tools to protect citizens and plan for extreme events. 2. Sustainable Agriculture In Kenya and India, AI-powered platforms such as PlantVillage and CropIn are helping farmers optimize planting cycles, detect crop diseases early, and reduce water waste. The result is higher yield and lower environmental impact. 3. Cutting Carbon Emissions Google has used AI to reduce the energy required for cooling its data centers by up to 40%. In the European Union, AI-driven smart grids are being deployed to better integrate renewable energy and balance electricity demand in real time. 4. Protecting Ecosystems Global Forest Watch uses AI and satellite imagery to track deforestation in the Amazon and Southeast Asia, providing near real-time alerts to governments and NGOs. In the Pacific, AI is also being used to detect illegal fishing, protecting endangered species and fragile marine ecosystems. These examples show that AI is already more than theory, it is a practical tool in the global climate fight. The question is not whether AI can help, but how fast these solutions can be scaled across borders and industries. This week’s thought: AI may not stop climate change on its own, but it is one of the most powerful instruments humanity has to address, if we choose to apply it with urgency and responsibility. #AI #ClimateChange #Sustainability #TechForGood #WednesdaySeries

"I see AI as a powerful enabler for climate action. Independent research indicates that, if deployed effectively, AI has the potential to reduce 3–5 million tonnes of greenhouse gas emissions annually, making a tangible impact on our fight against climate change. At Google, we are leveraging advanced AI models to predict weather patterns, optimize energy usage, and enhance efficiency across industries. By combining machine learning with real-time data, we can make operations smarter, more sustainable, and resilient, demonstrating how technology can drive measurable reductions in emissions while supporting global sustainability goals". - Spencer Low, Head of Regional Sustainability APAC, Google at INOXGFL Group presents ET Edge Global Sustainability Alliance 7th Annual Meeting, co-presented by YES BANK , co-powered by Yara Africa & Asia & Bennett University #GSAAnnualMeeting2025 #Policy #Innovation #Enterprise #Collaboration #Sustainability #ActFor2030 #Partnerships #RenewableEnergy #ClimateAction #Environment #SDG #Change #Impact #Leadership #PlanetBuddy #inoxgflgroup

Artificial Intelligence (AI) plays a vital role in advancing the SDGs by providing innovative solutions for global challenges, such as improving healthcare access, enabling smart agriculture, enhancing education, supporting climate action, promoting sustainable cities, and fostering inclusive economic growth. By leveraging data-driven insights, AI helps optimize resources, reduce inequalities, and accelerate progress toward achieving the 2030 Agenda. #SDGadvocateprogramcohort7

🙌 My first day at New York Climate week 🍎   Kicked off with a really interesting debate: AI for sustainability - friend or foe? 🤖   🌍 This debate explored whether AI was going to solve the climate crisis, or not. There were mixed opinions in the audience beforehand, but by the end most people thought not.   Really insightful debate topic and I feel the same way. Yes, it's going to help and make things more efficient. However, ultimately people need to change and politics need to be on board - rather than just have a new tool that gets used in different ways.   💭 History teaches us that industrial revolutions and technological leaps tend to lead to more growth and consumption, rather than less. Is AI any different? Will AI mean we ultimately have a lesser impact on the planet, or just create greater capacity for more growth and consumption? How do we make sure it has the right impact? Food for thought.   #NYCAW2025 #AI #Climate #Sustainability #climateweek

It was an honour to share the stage with global sustainability leaders Adam Elman from Google and Emily Shuckburgh Cambridge Zero at the Cambridge Forum, exploring one of the biggest questions of our time: 'Will the rapid rise of AI accelerate progress towards global sustainability goals — or risk undermining them?' For me, the answer is clear: 𝐀𝐈 𝐜𝐚𝐧 𝐚𝐧𝐝 𝐬𝐡𝐨𝐮𝐥𝐝 𝐛𝐞 𝐚 𝐟𝐨𝐫𝐜𝐞 𝐟𝐨𝐫 𝐩𝐨𝐬𝐢𝐭𝐢𝐯𝐞 𝐜𝐡𝐚𝐧𝐠𝐞. When applied with purpose and good intentions, it has the power to make the world more sustainable, more resilient, and more equitable. At Zeroute, we’re already harnessing AI across all of our solutions – most significantly with our exciting new Data Product... but more on that later. Decarbonising global supply chains means understanding complex global ecosystem and its only with the power of AI and robust science that we can get the fidelity and accuracy we need to make scalable, meaningful impact. A big thank you to Zoë Loughlin of Canopy / Cambridge Institute for Sustainability Leadership (CISL) for brilliant hosting and to all the audience who joined the discussion. The future of sustainability and technology is one we must shape together and alongside AI, it isn’t going anywhere after all!   #Decarbonisation #Scope3 #AI #Sustainability #ClimateAction #SupplyChain #Decarbonization #SustainableTechnology #ClimateInnovation #ESG #GreenTech #SustainableSupplyChain #CarbonNeutral #ClimateLeadership #Innovation #TechForGood #SustainableBusiness #CircularEconomy #NetZero #CarbonFootprint #AIForGood

🌍 Africa’s sustainability future is being written with AI—are we ready to lead? Sustainability starts simple: reduce waste, conserve energy, and promote fairness. But today, it’s about strategy, innovation, and technology. 💡 From Fundamentals to Advanced Practice: Fundamentals: Resource efficiency, environmental stewardship, social equity Advanced Integration: Embedding sustainability in projects and organizational strategy, leveraging Triple Bottom Line and SDGs, and applying AI to build resilient systems My upcoming book, 📖 “The AI Frontier for Building a Sustainable Africa”, explores how AI-driven innovation can accelerate sustainability across the continent, helping communities, organizations, and governments deliver lasting impact. 👉 How is your organization using AI for sustainable change? Share your insights below! #Sustainability #AIforAfrica #Innovation #ChangeManagement #SDGs #ProjectsThatWork

The Intelligence Edit - AI Decoded Insight 22: AI for Good - Tackling Climate Change Core Idea: AI is being used to develop new solutions for tackling climate change, from predicting extreme weather events to optimizing energy consumption. This has the potential to help us create a more sustainable future for all. Explanation: Climate change is one of the most pressing challenges of our time. AI has the potential to help us address this challenge in multiple ways. AI-powered climate models can predict the impact of climate change and identify areas most at risk. AI-powered smart grids can optimize energy consumption and reduce our reliance on fossil fuels. AI-powered carbon capture technologies can remove carbon dioxide from the atmosphere. Example/Analogy: Think of it like a doctor using a variety of tools to treat a patient with a serious illness. The doctor might use medications, therapies, and lifestyle changes to help the patient recover. The same is true with AI and climate change. We can use a variety of AI-powered tools to help us address this serious challenge. Takeaway: AI is a powerful tool that can be used to help us tackle climate change. As the technology continues to mature, we can expect to see more and more innovative applications of AI in the fight against climate change. Making AI Human: AI becomes our planet's diagnostic system, helping us understand and heal our environment. It's like having a brilliant environmental scientist working 24/7 to find solutions that protect our home for future generations. Source: https://lnkd.in/gJyRVwkY