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After $102B Quarter and Record Stock, Google Turns to Nuclear to Power the AI Boom

Google and NextEra Energy are joining forces to bring back the Duane Arnold Energy Center in Iowa. The electricity from this plant will power Google’s growing AI systems and data centers, helping the company reach its clean energy goals.

The partnership comes as Alphabet Inc., Google’s parent company, reported strong third-quarter earnings and a rise in stock value following better-than-expected results. Alphabet’s revenue grew, driven by gains in cloud services and AI investments. The company raised its capital spending forecast to over $90 billion for 2025. This shows its commitment to expanding clean, reliable energy for its growing data network.

The project gives the U.S. nuclear industry a fresh boost at a time when demand for reliable, low-carbon electricity is rising sharply. As data and AI grow, companies are racing to get enough clean energy. They need it to power their technology all day and night.

Google’s Nuclear Comeback: Powering AI the Clean Way

The Duane Arnold Energy Center is located near Cedar Rapids, Iowa. It stopped operating in 2020 after more than 45 years of service. Now, NextEra Energy, one of the largest renewable energy companies in the U.S., plans to restart the plant by 2029.

Once operational, the reactor will generate about 615 megawatts (MW) of power, enough to supply hundreds of thousands of homes. Under a 25-year agreement, Google will purchase most of the plant’s output to run its expanding network of cloud and AI data centers.

The restart could create hundreds of construction jobs and dozens of permanent roles when the plant reopens. Local suppliers, engineering firms, and service companies will also benefit. State officials expect the project to increase tax revenue and economic activity across eastern Iowa.

Just after this deal, Alphabet reported its 3rd Quarter financial results.

Alphabet’s Q3 Earnings Fuel the Next Energy Push

Alphabet announced its third-quarter 2025 earnings. Total revenue reached $102.3 billion. This marks a 16% rise compared to last year. Net income rose to $27.6 billion, driven by strong ad sales, continued growth in Google Cloud, and higher demand for AI-powered services.

Google Cloud generated $15.16 billion in quarterly revenue, up 26% year over year. Its core Search and “Other” businesses brought in $56.57 billion, while YouTube ads contributed another $8.8 billion.

Alphabet increased its annual capital spending forecast to $91–93 billion. This change reflects investments in data centers, AI infrastructure, and clean energy projects, including the Duane Arnold restart.

The results highlight how Google’s financial strength supports its climate commitments. The company is investing heavily in clean power, energy storage, and long-term sustainability as AI models and data operations grow.

Following the release, Google’s stock broke a record with the price surging to its highest level.

Google stock price

AI’s Growing Appetite for Electricity

Artificial intelligence and large-scale data centers are transforming the energy landscape. Training advanced AI models and handling billions of searches requires a lot of computing power. So, they also need constant electricity.

data centers nuclear
Source: BloomEnergy

In 2024, data centers worldwide consumed about 415 terawatt-hours (TWh) of electricity, or roughly 1.5% of global demand. The International Energy Agency (IEA) projects that number could rise to 945 TWh by 2030, more than doubling in just six years.

data center electricity use 2035

A report from Goldman Sachs suggests that total data center power demand could increase 160% by 2030 compared with 2023 levels. In the U.S. alone, data centers could account for 8% of national electricity use by the end of the decade.

That surge makes always-on, low-carbon energy essential. Unlike solar and wind, nuclear power provides a steady output regardless of the weather. For Google and other AI companies, stability is vital. It helps them keep their networks online 24/7 and cut emissions.

Google data center energy use

Why Tech Giants Are Turning to Nuclear Power

Tech giants are now among the most active investors in advanced nuclear energy. Companies such as Google, Microsoft, and Amazon are pursuing nuclear deals to meet both AI expansion and climate goals.

Their reasons are straightforward:

  • Reliability: Nuclear reactors generate power 24/7, supporting constant digital workloads.
  • Low-carbon: They produce almost no greenhouse gas emissions.
  • Cost stability: Uranium fuel costs are predictable over long timeframes.
  • Grid support: Nuclear power balances variable renewables like solar and wind.

For Google, using nuclear power aligns with its plan to run all operations on clean energy every hour of every day by 2030. NextEra and other utilities can reach new markets. They supply low-carbon electricity directly to data centers and tech campuses.

Engineering a Second Life for Duane Arnold

Restarting a nuclear plant is not easy. The U.S. Nuclear Regulatory Commission (NRC) must approve the restart first. They will review safety systems and environmental impact.

NextEra must rebuild cooling towers, replace old parts, and update digital controls before operations can start again. The company will also train a new workforce to operate the plant under updated safety rules.

Experts estimate that reviving an older reactor can be 30–40% cheaper than building a new one. Even so, the project includes billions in upgrades. It also faces complex licensing and global supply-chain challenges.

Still, the economic payoff could be significant. Restarting Duane Arnold boosts local energy reliability and supports federal clean power goals. It shows how old infrastructure can meet today’s climate needs.

Google’s Carbon-Free Energy Goal

Google has matched 100% of its annual electricity use with renewable power purchases since 2017. But its next milestone is far tougher—running entirely on carbon-free energy at all times by 2030.

The company already sources solar, wind, and geothermal power across multiple continents. Yet, because these sources are intermittent, nuclear can play an important balancing role.

The Duane Arnold partnership ensures a steady supply when the grid fluctuates. Google is exploring small modular reactors (SMRs), geothermal wells, and long-duration energy storage. These are key parts of its clean power strategy.

Google wants to diversify its clean energy sources. This will help its AI infrastructure stay strong against climate change and keep costs stable. The chart below shows 6how t6he tech giant’s clean energy avoided emissions.

Google clean energy emission reductions

Powering the Digital Future

The Google–NextEra deal marks a new chapter in how technology companies think about power. For Google, it guarantees access to reliable, low-carbon electricity for decades. NextEra builds a profitable model. It supplies the data economy and extends the lifespan of nuclear infrastructure.

If successful, the project could serve as a blueprint for reviving other shuttered U.S. reactors. It demonstrates how legacy assets can be modernized to meet today’s energy and AI needs without adding new carbon emissions.

More broadly, it highlights a turning point in the clean energy transition. As AI use grows worldwide, the demand for “firm clean power” increases too. This includes reliable sources like nuclear, hydro, and geothermal energy. Federal tax incentives from the Inflation Reduction Act make projects more appealing to private investors.

Rebuilding and restarting the Duane Arnold Energy Center will take several years of engineering work, testing, and regulatory review. If the process stays on schedule, the plant could be back online by 2029.

For Google, this partnership is more than an energy deal. It also reflects how the company is linking its financial strength to its climate and AI goals. After posting strong third-quarter earnings and a solid rise in revenue, the company has shown that its investments in AI and cloud services are not only profitable but also shaping its long-term sustainability plans.

The Duane Arnold project fits into that vision by ensuring that Google’s expanding data operations are powered by clean, reliable energy. This collaboration shows that the future of AI depends as much on clean, continuous power as it does on computing power. Nuclear energy, once seen as outdated, is now becoming one of the key engines driving the digital and energy economy forward.

The post After $102B Quarter and Record Stock, Google Turns to Nuclear to Power the AI Boom appeared first on Carbon Credits.

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Nature-based solutions vs carbon capture technology: Which is most effective?

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The sustainability landscape is increasingly complex. More and more carbon-capture solutions are entering the market, and innovation is a constant thread running through the carbon market. With more possibilities, buyers are faced with more considerations than simply offsetting carbon. In this sphere, two main directions are taking shape—nature-centred or tech-focused.

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Nasdaq Invests in First EU-Certified Carbon Removal Credits from Stockholm Exergi

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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.

carbon removal credits purchase H1 2025
Source: AlliedOffsets

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.

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.

carbon credit market value 2050 MSCI

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.

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AI Solutions from Microsoft and NVIDIA Power DOE’s Nuclear Energy Genesis Mission

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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.

AI nuclear application
Source: IEA

Everstar’s Gordian AI: Streamlining Nuclear Licensing with AI

Everstar, an NVIDIA Inception startup, is transforming nuclear licensing with its Gordian AI platform built on Microsoft Azure. Recently, the team used Gordian to convert a safety analysis document into a format aligned with the U.S. Nuclear Regulatory Commission (NRC) licensing requirements.

For instance, a 208-page licensing document that normally takes four to six weeks to generate was completed in just one day, with AI automatically identifying missing or incomplete data.

Gordian is designed for nuclear-grade technical work. Unlike generic AI, it combines physics-based models, engineering logic, and semantic ontology mapping to ensure outputs are verified, not inferred.

The platform offers several key features:

  • Cross-references technical data automatically
  • Identifies documentation gaps
  • Maintains alignment with regulatory standards
  • Provides a clear audit trail for every output
  • Highlights its own limitations, allowing experts to focus on areas that need further attention

By accelerating document preparation while maintaining accuracy, Gordian reduces bottlenecks in nuclear licensing. Its capabilities build trust among regulators and industry stakeholders, making AI adoption safer, more practical, and scalable for the industry

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.

Why AI Is Critical for Scaling Nuclear Energy

Global electricity demand is rising fast, driven by digital growth and electrification. At the same time, countries need clean, reliable power to cut emissions. Nuclear energy can meet this need, but slow and complex processes have held it back.

AI is changing that. It speeds up licensing by automating documentation, improving accuracy, and reducing manual work. As a result, projects can move forward much faster without compromising safety.

In addition, AI connects data across design, permitting, construction, and operations. This improves efficiency, reduces errors, and makes timelines more predictable.

In short, AI removes key bottlenecks, helping nuclear energy scale faster to meet growing global demand. Most significantly, DOE’s approach aligns with growing global efforts to modernize energy infrastructure.

And partnerships with tech giants like Microsoft and NVIDIA will only accelerate the pace of innovation—and shape the future of global energy.

The post AI Solutions from Microsoft and NVIDIA Power DOE’s Nuclear Energy Genesis Mission appeared first on Carbon Credits.

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