Google has announced a new deal with Mombak, a Brazilian reforestation company, to buy 200,000 metric tons of carbon removal. The goal is to expand forest restoration projects in Brazil and remove more carbon dioxide from the atmosphere.
Mombak will team up with Google DeepMind’s Perch group. They will use AI and bioacoustic tools to see how forest restoration boosts biodiversity. In simple terms, the project will not only track how much carbon the trees store but also how wildlife returns and ecosystems recover.
The new agreement is part of Google’s wider climate strategy. Along with nature-based removals, the company recently unveiled plans for solar-powered data centers in space. These centers will provide clean energy for computing. These initiatives show how Google blends natural and tech solutions. They aim to cut emissions and create a more sustainable future.
Why Nature-Based Carbon Removal Matters
Forests are among the most effective natural systems for storing carbon. When trees grow, they capture CO₂ and store it in trunks, roots, and soil. Over time, healthy forests help slow global warming. But restoring damaged land takes money, time, and clear monitoring to prove results.
Nature-based solutions may take up to 85% of the total carbon credits supply annually by 2030, per McKinsey analysis below. Carbon credits are certificates representing the number of tonnes of carbon avoided or removed from the atmosphere.
In contrast, technology-based solutions could account for about 34% for the same period.

Nature-based projects can also deliver extra benefits, often called co-benefits. These include:
- Protecting wildlife habitats.
- Preventing soil erosion and flooding.
- Creating local jobs.
- Supporting Indigenous and rural communities.
However, measuring these outcomes is complex. Forests vary by region, and climate, soil, and species all affect how much carbon is stored. That’s why the use of advanced technology and transparent data reporting has become a key part of modern carbon removal projects.
Mombak Mission: Rebuilding the Amazon, One Native Tree at a Time
Mombak is a Brazil-based startup focused on restoring degraded land in the Amazon using native tree species. The company aims to rebuild natural forests rather than create single-species plantations. Its projects also aim to generate carbon credits that meet strict quality standards.
Mombak’s founders are seasoned entrepreneurs and scientists. They have expertise in forestry and sustainable finance. Since its launch, the company has gained support from climate investors and global brands focused on verified carbon removal.
Earlier this year, Mombak raised around $30 million to expand its planting programs and improve monitoring systems. The company’s current projects cover thousands of hectares in the Amazon region. Over the next few years, it plans to scale up to tens of millions of trees planted.
The new Google deal builds on a previous, smaller partnership. This latest purchase of 200,000 metric tons of carbon removal makes Mombak one of Google’s largest nature-based carbon suppliers.
Reilly O’Hara, Carbon Removal Program Manager at Google, stated:
“Mombak’s proven approach balances high integrity reforestation – such as the use of native, biodiverse forests and strong durability safeguards – with industrial scale and operations. We’ll need both to ensure a large and lasting impact, and Mombak is well-positioned to do so across Brazil. And excitingly, today Mombak was also selected as the first nature restoration project by the Symbiosis Coalition, further validating their approach to measuring impact with a high standard of scientific rigor.”
The Role of AI and Bioacoustics in Measuring Forest Health
An important part of this partnership is the use of AI through DeepMind’s Perch project. Perch uses machine learning to analyze natural sounds, such as bird calls and insect noises, recorded in restored forests. These recordings help scientists understand which species are returning and how ecosystems are recovering.
Bioacoustics works by placing microphones in the forest to capture the “soundscape” of nature. Each species has a unique sound, so by analyzing these patterns, AI can estimate biodiversity levels. This allows for tracking recovery more accurately and continuously. Plus, it won’t disturb wildlife.
Traditional field surveys can take months and cover limited areas. AI-powered monitoring offers faster and larger-scale data collection. It also lets people verify biodiversity outcomes independently. This has often been absent from many carbon credit projects.
One of the main criticisms of past carbon offset programs is a lack of clear reporting. Some projects overstated their impact, while others failed to monitor long-term results.
By using these tools, Mombak and Google aim to set a new standard for transparency in forest monitoring. This approach could make nature-based carbon credit projects more credible and easier to verify for buyers and regulators alike.
If a project’s credits lose value, like from forest fires or other risks, Google will replace them. This way, they can keep real climate benefits.
This “replacement plan” shows a move toward permanence and accountability. It means that companies buying carbon credits must ensure their impact lasts for decades, not just a few years.
Transparency also helps local communities and independent experts see progress. It builds trust that promises are being kept.
How the Symbiosis Coalition Sets New Carbon Standards
This project has also received the first official endorsement from the Symbiosis Coalition. The coalition is a group of major corporate buyers that commit to purchasing high-quality carbon removal credits. It supports projects that have strong environmental integrity. They also provide clear social and biodiversity benefits.
The endorsement shows that Mombak’s methods meet higher standards. These include climate impact, community engagement, and scientific monitoring. The coalition aims to boost investment in verified, nature-based solutions. They plan to do this by ensuring steady demand for these credits.
Companies like Google work with Symbiosis to make sure their credits meet industry standards and support global climate goals.
What It Means for Brazil and the Carbon Market
Brazil is emerging as a global hub for reforestation and carbon removal projects. With the Amazon rainforest as one of the world’s largest carbon sinks, the country plays a central role in climate mitigation.
The new Mombak project supports both local restoration and global climate efforts. It also matches Brazil’s goal to cut deforestation. This supports climate talks before COP30, which is taking place in Belém in 2025.
This deal shows how big buyers in the carbon market are shifting. They are moving from avoidance credits, which stop emissions, to removal credits that take carbon out of the atmosphere.
Reports say global investment in nature-based carbon removal projects hit almost $20 billion between 2021 and 2024. However, this is still less than the total finance needed by 2050, which is around $674 billion. Expanding reforestation projects like Mombak’s will help close that gap.

Beyond Earth: Google’s Solar-Powered Space Data Centers
Google launched Project Suncatcher this year. This initiative aims to create solar-powered data centers in space. It supports their climate and forest-restoration goals. The company plans to launch prototype satellites by early 2027. These satellites will have their custom TPU (Tensor Processing Unit) chips.
Solar panels in low-sunlight zones around Earth can be up to eight times more efficient than those on the ground. For instance, Google research shows that in a dawn-dusk sun-synchronous orbit, panels can produce almost constant power. This helps cut down on the need for big battery systems.
By the mid-2030s, management estimates say launch and operational costs for these satellites may fall below $200 per kilogram. This would make space-based data centers as affordable as those on Earth.
The move is significant for several reasons. Data centers on Earth use a lot of electricity and water for cooling. This becomes a climate and resource problem as AI use grows. By shifting computing to space, Google hopes to reduce strain on land-based grids and ecological systems.
The plan still has big engineering challenges, including:
- heat management,
- high-bandwidth optical links between satellites, and
- making the hardware resilient to radiation.
Google’s Dual-Frontier Climate Vision
The partnership between Google, Mombak, and DeepMind reflects how large technology companies are linking AI, clean energy, and reforestation to address the climate crisis. Google’s efforts in climate innovation now cover many areas. They include restoring forests on Earth and capturing solar power in space.
If successful, these projects could become models for combining technology and nature to achieve measurable, lasting results. Google aims to tackle carbon removal and energy sustainability in many ways. The company combines large-scale reforestation with advanced monitoring and next-gen clean power systems. This approach shows its commitment to the environment.
- READ MORE: After $102B Quarter Revenue and Record Stock, Google Turns to Nuclear to Power the AI Boom
The post Google’s Bold Climate Actions: AI in the Amazon and Solar Power in Space! appeared first on Carbon Credits.
Carbon Footprint
Nasdaq Invests in First EU-Certified Carbon Removal Credits from Stockholm Exergi
Nasdaq has backed one of the first carbon removal credit deals licensed under European Union rules. The project is based in Stockholm and is designed to generate high-quality carbon removal credits under a formal EU framework.
This marks a key shift. For years, carbon markets have relied on voluntary standards with mixed credibility. Now, the European Union has developed a regulated system to define what counts as a valid carbon removal. This move aims to build trust and attract large investors into a market that is still in its early stages.
The deal shows growing interest from major companies. It also reflects rising demand for reliable ways to remove carbon from the atmosphere.
Inside the Stockholm Carbon Removal Project
The removal project is run by Stockholm Exergi. It uses a process called BECCS, or bioenergy with carbon capture and storage. This method burns biomass, such as wood waste and agricultural residues, to produce heat and electricity. At the same time, it captures the carbon dioxide released and stores it underground.
The captured CO₂ will be transported and stored deep beneath the North Sea in rock formations. Over time, it will turn into solid minerals. This makes the carbon removal long-lasting and more secure than many nature-based solutions.
The facility is expected to start operating in 2028. Once active, it will generate carbon removal credits that companies can buy to balance their remaining emissions.
Beccs Stockholm is one of the world’s largest carbon removal projects. In its first ten years, the project could remove about 7.83 million tonnes of CO₂ equivalent. This makes it a key tool for helping the European Union reach climate neutrality by 2050.
The project also aims to scale carbon removal by building a full CCS value chain in Northern Europe and supporting a growing market for negative emissions credits.
This project is important because it is one of the first to follow the EU’s new carbon removal certification rules. These rules define how carbon removal should be measured, verified, and reported. They also aim to reduce risks like double-counting and weak accounting.
EU Certification: Building Trust in a Fragile Market
The European Commission has introduced a framework, also called Carbon Removals and Carbon Farming (CRCF) Regulation, to certify carbon removal activities. This includes technologies like BECCS, direct air capture with carbon storage, and biochar.
The goal is to create a trusted system that investors and companies can rely on. It also established the first EU-wide certification framework for carbon farming and carbon storage in products, not just removals.
Until now, the voluntary carbon market (VCM) has faced criticism. Concerns about transparency and “greenwashing” have made some companies cautious. Many buyers want stronger proof that credits represent real and permanent carbon removal.
The EU framework tries to solve this problem. It sets clear rules for:
- Measuring how much carbon is removed.
- Verifying results through independent checks.
- Ensuring long-term storage of CO₂.
This structure may help standardize the market. It could also make carbon removal credits easier to compare and trade across borders. The Commission states that the goal of having the framework is:
“to build trust in carbon removals and carbon farming while creating a competitive, sustainable, and circular economy.”
Corporate Demand Is Growing—but Still Limited
Large companies are starting to invest in carbon removal. However, the market remains small compared to what is needed.
One major buyer is Microsoft. It currently holds about 35% of all global carbon removal credits, making it a dominant player in the market. In fact, it is responsible for 92% of purchased removal credits in the first half of 2025.

Other companies, including Adyen, a Dutch payments provider, have also joined the Stockholm project. These early buyers aim to secure a future supply of high-quality carbon credits as demand grows.
Ella Douglas, Adyen’s global sustainability lead, said in an interview with the Wall Street Journal:
“This project does exactly that [“catalytic impact” to the VMC] while also building key market infrastructure in collaboration with the European Commission.”
Still, many firms remain cautious. Carbon removal technologies are often expensive and not yet proven at a large scale. Some companies also worry about reputational risks if projects fail to deliver real climate benefits.
This creates a gap. Demand is rising, but the supply of trusted credits is still limited.
- SEE event: Carbon Removal Investment Summit 2026
A Market Set for Rapid Growth
Despite these challenges, the long-term outlook for carbon removal is strong. Estimates suggest the market could reach $250 billion by mid-century, according to MSCI Carbon Markets.

Several factors drive this growth:
- First, global climate targets require large-scale carbon removal. The Intergovernmental Panel on Climate Change estimates that the world may need to remove around 10 billion metric tons of CO₂ per year by 2050 to limit warming.
- Second, many companies have set net-zero goals. These targets often include removing emissions that cannot be avoided, especially in sectors like aviation, shipping, and heavy industry.
- Third, new regulations are pushing companies to disclose and manage emissions more clearly. This increases demand for credible carbon solutions.
However, the current supply falls far short of what is needed. Only a small share of the required carbon removal credits has been developed or sold so far.
Balancing Removal and Emissions Cuts
While carbon removal is gaining attention, experts stress that it cannot replace emissions reductions. Removing carbon from the atmosphere is often more expensive and complex than avoiding emissions in the first place.
Groups like the European Environmental Bureau warn that over-reliance on credits could delay real climate action. They argue that companies should set separate targets for reducing emissions and for removing carbon.
The EU framework reflects this concern. It treats carbon removal as a tool for addressing residual emissions, not as a substitute for cutting pollution at the source. This distinction is important. It helps ensure that carbon markets support, rather than weaken, overall climate goals.
From Concept to Market Infrastructure
The Stockholm project marks a turning point for carbon removal. It shows how rules, strong verification, and corporate backing can bring structure to a fragmented market.
With support from players like Nasdaq, carbon removal is moving closer to becoming a mainstream financial asset. At the same time, the European Union’s certification system is setting the foundation for a more credible and scalable market.
The path ahead remains complex. Technologies must scale. Costs must fall. Trust must grow. But the direction is clear.
Carbon removal is no longer a niche idea. It is becoming a key part of the global climate economy, with the potential to shape investment flows for decades to come.
The post Nasdaq Invests in First EU-Certified Carbon Removal Credits from Stockholm Exergi appeared first on Carbon Credits.
Carbon Footprint
AI Solutions from Microsoft and NVIDIA Power DOE’s Nuclear Energy Genesis Mission
The nuclear energy industry is entering a new phase of transformation. This shift is no longer just about building reactors—it is about building them faster, smarter, and more efficiently.
A recent breakthrough led by the U.S. Department of Energy (DOE), in collaboration with Idaho National Laboratory, Argonne National Laboratory, Microsoft, NVIDIA, Everstar, and Aalo Atomics, highlights that AI tools can streamline the nuclear regulatory process.
AI and DOE’s Genesis Mission: Breaking Bottlenecks in Nuclear Energy Deployment
The work supports President Trump’s Genesis Mission, a national initiative aimed at driving a new era of AI-accelerated innovation and discovery. The mission focuses on using advanced technologies like AI to solve critical national challenges, from energy to healthcare and beyond.
Under the Genesis Mission, DOE recently announced $293 million in competitive funding to tackle twenty-six pressing science and technology challenges, including one dedicated to speeding up nuclear energy deployment.
Rian Bahran, Deputy Assistant Secretary for Nuclear Reactors. said,
“Now is the time to move boldly on AI-accelerated nuclear energy deployment,” “This partnership, combined with the President’s orders, represents more than incremental ‘uplift’ improvements. It has the potential to transform how industry prepares its regulatory submissions and deploys nuclear energy while upholding the highest standards of safety and compliance.”
Simply put, from licensing to construction and operations, AI is now helping eliminate long-standing bottlenecks.
Faster Nuclear Licensing with Advanced Tools
The DOE’s recent announcement is a big step in modernizing nuclear regulation. Normally, preparing licensing documents for nuclear reactors is slow and complicated. It requires reviewing thousands of pages of technical data and making sure everything meets strict rules.
This shows how AI can make nuclear licensing faster and more accurate, helping advanced reactors reach the market sooner. Here’s how AI is simplifying this usually long and complex process.

Kevin Kong, CEO and Founder of Everstar, added:
“Nuclear is poised to solve today’s critical energy challenges,” said “We’re excited to partner with INL to meet the moment, working together to accelerate regulatory review and commercialization.”
Microsoft and NVIDIA Partnership: Building AI Infrastructure for Nuclear Energy
While the DOE demonstration focused on licensing, the broader transformation is being driven by a powerful collaboration between Microsoft and NVIDIA.
Together, they are developing a full-stack AI ecosystem designed specifically for nuclear energy. This platform combines cloud computing, simulation tools, and advanced AI models to streamline every phase of a nuclear project.
Key technologies in this ecosystem include:
- NVIDIA Omniverse for simulation and digital modeling
- NVIDIA CUDA-X and AI Enterprise for high-performance computing
- Microsoft Azure AI for data processing and automation
- Microsoft’s Generative AI tools for permitting and documentation
This integrated system enables developers to manage complex workflows in a unified environment. Instead of working with disconnected tools and datasets, teams can now operate within a single, AI-powered framework.
As a result, nuclear projects become more efficient, transparent, and predictable.
Carmen Krueger, Corporate Vice President, US Federal, Microsoft, further added:
“Our collaborations with DOE, INL, and across the industry are demonstrating how we can effectively bring secure, scalable AI technologies to solve key energy challenges and achieve the broader national and economic security goals envisioned by the Department’s Genesis Mission.”
Aalo Atomics: Cutting Permitting Time and Costs with AI
One of the most compelling real-world examples of AI impact comes from Aalo Atomics.
By leveraging Microsoft’s Generative AI for Permitting solution, Aalo has achieved dramatic improvements in project timelines. The company reported:
- A 92% reduction in permitting time
- Estimated annual savings of $80 million
These results show how AI can address one of the biggest challenges in nuclear development—delays caused by regulatory complexity.
Permitting often takes years and requires extensive documentation. However, AI can automate much of this work, allowing teams to focus on critical decision-making rather than repetitive tasks.
For Aalo, the value goes beyond speed. The technology also improves confidence in project execution by ensuring that all documentation is consistent, complete, and aligned with regulatory expectations.
This video demonstrated further details:
AI-Powered Nuclear Lifecycle: From Design to Operations
The impact of AI is not limited to licensing. It extends across the entire lifecycle of a nuclear plant. In the blog post, written by Darryl Willis, Corporate Vice President, Worldwide Energy and Resources Industry of Microsoft, explained how AI can help nuclear in a broader context.
- Design and Engineering Optimization: AI and digital twins allow engineers to simulate reactor designs in real time. This enables faster iteration and better decision-making. Developers can reuse proven design patterns and instantly evaluate how changes affect performance, safety, and cost.
- Licensing and Permitting Automation: Generative AI handles document drafting, data integration, and gap analysis. It ensures that applications are complete and consistent, reducing delays during regulatory review. This allows experts to focus on safety assessments instead of administrative tasks.
- Construction and Project Delivery: Advanced simulations now include time and cost dimensions. These 4D and 5D models allow developers to track progress, predict delays, and avoid costly rework. AI also enables real-time monitoring, ensuring that construction stays on schedule and within budget.
- Predictive maintenance and Plant Performance: Once a plant is operational, AI continues to add value. Predictive maintenance systems can detect issues early, reducing downtime and improving reliability. Digital twins provide continuous insights into plant performance, helping operators maintain optimal efficiency.
The post AI Solutions from Microsoft and NVIDIA Power DOE’s Nuclear Energy Genesis Mission appeared first on Carbon Credits.
Carbon Footprint
$10 Trillion in Carbon Cost? How U.S. Emissions Hit the Global Economy
Climate change is not only a physical threat, but it also affects the world’s economy. A major new study published in the journal Nature on March 25, 2026, puts a clear number on this impact. It finds that carbon dioxide (CO₂) emissions from the United States caused about $10.2 trillion in total economic damage worldwide between 1990 and 2020. This makes the U.S. the largest single contributor to climate-related economic loss over that period.
The study shows that emissions slow economic growth in many countries. Rising temperatures cut productivity, lower output, and hurt long-term economic performance around the globe.
Marshall Burke, the lead author of the study, remarked:
“If you warm people up a little bit, we see very clear historical evidence, you grow a little bit less quickly. If you accumulate those effects over 30 years, you just get a really large change by the end of 30 years. It’s like death by a thousand cuts. And you have people being harmed who did not cause the problem, and that feels just fundamentally unfair.”
The researchers focused on carbon dioxide, the most common greenhouse gas. They used data on how temperature affects economic activity and then linked that to how much CO₂ different countries have emitted since 1990. This method links climate science to real economic results, including slower growth, lower productivity, and smaller national outputs.
Counting the Dollars: $10 Trillion in U.S.-Linked Damage
One of the study’s central findings is striking. From 1990 to 2020, U.S. emissions likely caused around $10.2 trillion in global economic damage. This means that warming linked to U.S. emissions has reduced economic production across many countries. The study links these impacts to heat’s long-term effects on labor, agriculture, and overall economic growth.
The damage is not confined to other nations. Roughly 30% of that $10.2 trillion figure is estimated to have occurred within the United States itself. In other words, U.S. emissions have slowed economic growth at home as well as abroad. The remaining impacts are spread across the global economy.
The researchers found that U.S. emissions led to about $500 billion in damage in India and around $330 billion in Brazil during that time. These figures show how carbon released in one area can affect economies far away.

A New Framework for Loss and Damage
The Nature study introduces a new framework for assessing what scientists call “loss and damage.” This term refers to harms that cannot be prevented by reducing emissions or avoided through adaptation alone.
The study uses economic data and climate models. It tracks how temperature changes over the years impact economic output.
- To put the numbers into context: one tonne of CO₂ emitted in 1990 is estimated to have caused about $180 in global economic damages by 2020.
But that same tonne is projected to cause an additional $1,840 of cumulative damage by 2100, as warming continues and its effects compound over time. This highlights that past emissions still contribute to future economic harm.
The researchers highlight that these estimates focus on economic output, like goods and services. They do not account for all types of climate damage. They do not include costs from loss of life, health impacts, biodiversity collapse, cultural heritage losses, or many kinds of infrastructure damage. These excluded impacts could raise the true total cost of climate change even further.
The Social Cost of Carbon Revisited
This study is part of a broader scientific effort to understand the economic impacts of climate change. Climate and economic models show that rising temperatures are already slowing economic growth. If emissions stay high, this slowdown will get worse in the future.
Analyses by major international institutions and research groups project that climate change could reduce global GDP by a significant percentage by mid-century. This is compared to scenarios with strong mitigation, though exact figures vary by method.
The concept of estimating a “social cost of carbon” (SCC) — a monetary estimate of economic damage per tonne of CO₂ — has been used in policy analysis for years. It helps governments weigh trade-offs in climate policy. For example, they can decide how much to invest in emissions cuts versus adaptation.

However, traditional SCC estimates have been debated. They depend on assumptions about future growth, discount rates, and climate sensitivity. The Nature study advances this approach by tying economic outcomes directly to observed climate impacts.
Economists and climate scientists agree that warming impacts several areas. These include agricultural yields, labor productivity, energy demand, and health outcomes. These effects reduce economic output and increase costs for businesses and governments. The latest research makes these links more explicit by assigning dollar values to the historical impacts of emissions.
Equity and Global Responsibility
The research’s results also highlight important equity questions. Low-income countries often face bigger economic impacts compared to their emissions histories.
For example, nations with warmer climates and more fragile infrastructure may experience greater output losses due to temperature increases. These effects grow over time and can worsen existing development challenges.
At the same time, richer countries with higher historical emissions may take a larger share of responsibility for damage. The Nature study shows it is possible to calculate responsibility in monetary terms. However, turning those numbers into legal or financial obligations is still complex.
Tail Risks and Future Costs
The researchers also point toward the future. It finds that future damages from past emissions are much larger than the losses already accrued.
Since CO₂ remains in the atmosphere for centuries, its warming effects — and the economic damages linked to them — will persist well beyond 2020. This “tail risk” means that the total cost of historical emissions could rise sharply over the rest of this century.
Climate risk is increasingly integrated into economic planning and finance. Governments, businesses, and international institutions are incorporating climate scenarios into investment decisions and risk models.
This includes assessing how rising temperatures may affect infrastructure costs, insurance markets, supply chains, and national budgets. Without strong mitigation and adaptation measures, these economic pressures are expected to grow.
A Shared Reality, Quantified
The Nature study offers a clear and data-based way to think about the economic harms of climate change. Emissions from the United States since 1990 have caused over $10 trillion in global economic damage. This includes harm in the U.S., India, and Brazil.
These findings do not assign legal liability. However, they provide a meaningful picture of how climate change affects the global economy in terms of the social costs of carbon. They show that the costs of climate impacts are measurable and significant.
As the world continues to adapt and respond to climate change, understanding these economic links will be crucial for policymakers, businesses, and communities.
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