Microsoft’s Climate Innovation Fund (CIF) just passed its first five-year milestone, and its impact is starting to reshape how corporate climate finance scales emerging technologies. What began in 2020 as a US$1 billion commitment to back solutions that didn’t yet exist at commercial scale has now mobilized roughly US$12 billion in broader climate tech financing.
The company has deployed over US$800 million so far across 67 startups and projects focused on carbon removal, low-carbon building materials, green steel, and AI-driven energy efficiency.
Microsoft’s Chief Sustainability Officer Melanie Nakagawa says the results show how corporate capital can move markets. “Big goals need bold bets,” she explains. “We needed to invest in technologies that were not yet at commercial scale—or, in some cases, didn’t yet exist.”
Today, those early bets are maturing into real projects, commercial plants, and large-scale carbon removal contracts. And while the tech giant still faces rising emissions linked to rapid growth in AI and data centers, CIF is now shaping supply chains that could determine how green the digital economy can be.
Pushing the Frontier: Turning Climate Concepts into Scaled Solutions
When CIF launched, Microsoft (MSFT stock) had announced its plan to become carbon negative, water positive, and zero waste by 2030. But the technologies needed to meet those goals were nowhere near ready. The fund was designed not to chase short-term returns, but to bring solutions to market that could eventually work at a global scale.
This approach meant:
- Backing early-stage innovators before mainstream capital steps in
- Acting as a first commercial buyer to prove demand
- Pairing investment with procurement commitments to create real offtake pipelines
This strategy is what underpins CIF’s multiplier effect. For every dollar Microsoft has invested, approximately fifteen additional dollars have followed from other investors and institutions. That shift—moving innovations from pilot stage to bankable scale—has helped de-risk markets such as carbon removal, low-carbon cement, and sustainable aviation fuel.
Nakagawa puts it simply: “We’re helping move bold ideas off the sidelines and into real-world systems.”
Targeting High-Emissions Supply Chains: Steel, Cement, and Infrastructure Materials
One of CIF’s most direct priorities is reducing emissions tied to Microsoft’s own fast-growing infrastructure footprint. The company plans to spend about US$80 billion on data centers in fiscal 2025.
Data center construction is steel- and cement-heavy, and the energy use associated with CPUs and GPUs makes operations carbon-intensive. Recent examples show this strategy in motion:
- Green Steel for Data Centers: Microsoft signed a deal with Stegra, producing steel with up to 95% fewer emissions. This steel will be used directly in data center equipment and building structures.
- Low-Carbon Cement: The company has backed Fortera to build a 400,000-ton-per-year commercial facility producing a cement alternative that cuts emissions by about 70% compared to the standard Portland cement process.
These are not pilot projects—they are commercial facilities aimed at reshaping global heavy industry. The real signal is scale.
Leading the Corporate Carbon Removal Market
Microsoft has also become the world’s largest corporate buyer of carbon removal. The company has secured more than 30 million tonnes of removal commitments—spanning direct air capture, enhanced weathering, biomass burial, and engineered mineralization.

The deals include:
- Vaulted Deep → Up to 4.9 million tonnes of permanent CO₂ removal by 2038
- UNDO → 28,900 tonnes via enhanced rock weathering
- Multiple multi-year agreements with DAC and ocean alkalinity innovators
These agreements are crucial because the voluntary carbon market remains uneven in quality. By enforcing rigorous verification standards and long-term contracts, Microsoft is shaping the market’s baseline expectations for durability and transparency.
Yet, the company’s own emissions are still rising. Scope 3 emissions have increased by 26% from their 2020 baseline. It’s largely due to the energy and materials required to build and power AI data centers. The question now is whether procurement-backed project financing can scale fast enough to help reverse that trend.

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- Microsoft and Climate Impact Partners Reveal Biggest Carbon Removal Deal in Asia
AI as an Accelerator: Climate Intelligence at Industrial Scale
CIF’s portfolio is increasingly leaning into AI-driven solutions. The logic is simple: decarbonization requires massive system optimization—across supply chains, grids, industrial processes, and land systems. AI is one of the few tools that can do that at speed.
Microsoft has invested in companies that use AI to:
- Model and predict wildfire and forest restoration needs
- Improve grid efficiency and transmission line monitoring
- Analyze soil carbon and regenerative farming impact
- Optimize renewable power dispatch and microgrid performance
The company now argues that AI is not just powering emissions—it’s critical to reducing them. But the energy footprint of AI remains a pressing challenge, which is why Microsoft is also advancing partnerships that combine AI deployment with co-development of clean energy.
AI Partnerships with ADNOC, Masdar, and XRG to Transform Industrial Energy Systems
A new collaboration between Microsoft, ADNOC, Masdar, and XRG shows how AI can help decarbonize the energy sector. Under the agreement, Microsoft and ADNOC will co-develop AI agents to support more autonomous and efficient industrial operations, building on ADNOC’s existing AI deployment.
Microsoft will provide advanced AI tools and upskilling programs, while all partners will help create an innovation ecosystem focused on cleaner energy production, efficient data centers, and large-scale clean power development.
This partnership signals a crucial shift: AI is not just improving digital systems—it is starting to reshape physical industrial infrastructure. By aligning software innovation with clean energy development, the collaboration aims to reduce operational emissions and support the sustainable expansion of the global AI and data center economy.
Brad Smith, Microsoft’s Vice Chair, said it clearly:
“No single company or industry can meet this moment alone. Accelerating the transition to a more sustainable, secure, and inclusive energy future requires deep collaboration between governments, energy providers, technology companies, and innovators everywhere.”
The Path Forward
Microsoft’s climate investments are reshaping key segments of the decarbonization landscape. Yet the company is also confronting the reality that the AI boom is increasing its emissions faster than its solutions are reducing them.
This is the dual challenge now facing almost every technology leader:
- AI is driving explosive demand for compute, energy, and infrastructure.
- But the same AI systems can accelerate materials innovation, energy efficiency, and carbon removal.

The question is not whether AI will shape climate action. It already is. The real question is whether companies move quickly enough to align AI growth with a net-zero transition.
As CIF’s first five years show, early capital and clear purchasing signals can move entire markets. The next five years will determine whether those markets grow fast enough.
This is a moment for leadership. Bold bets made now will define the climate technologies the world relies on tomorrow.
The post Microsoft Leads on Climate: $800M CIF Drives Clean Tech and AI Energy Deals with ADNOC, Masdar, and XRG 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.
The post $10 Trillion in Carbon Cost? How U.S. Emissions Hit the Global Economy appeared first on Carbon Credits.
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