As artificial intelligence (AI) continues to transform industries and unlock new opportunities, its environmental impact is also a matter of concern. While AI holds immense potential to combat climate change, it paradoxically contributes to the problem it aims to solve. The computational intensity of AI training and deployment leaves a significant carbon footprint. So, what’s the responsible way to savor the benefits of AI without worsening the climate crisis? The answer is Green AI.
So, What Is Green AI?
Green AI is a movement and an innovation that seeks to balance technological advancement with environmental sustainability. Green AI, also referred to as Sustainable AI or Net Zero AI, encompasses practices to reduce the carbon footprint of artificial intelligence technologies. Unlike traditional approaches, Green AI integrates sustainability into every stage of the AI lifecycle, from research and development to deployment and maintenance.
Furthermore, understanding the differences between conventional AI and Green AI is key to addressing this growing challenge.
Traditional AI vs. Green AI: A World of Difference
Traditional AI focuses on achieving unmatched accuracy in tasks like language translation, image recognition, and autonomous driving. While its applications are groundbreaking, this accuracy comes at a cost. Training large-scale AI models often require enormous computational resources, consuming vast amounts of energy.
For example, a nature.com study revealed the carbon footprint of training a single big language model is equal to around 300,000 kg of carbon dioxide emissions. This could be quantified as equivalent to 125 round-trip flights between New York and Beijing, a quantification that laypersons can visualize.
Thus, conventional AI overlooks energy efficiency. It also increases costs for businesses and excludes smaller players from entering the AI landscape. The worst outcome is the damage done to the environment from its carbon footprint, suppressing its potential to mitigate climate change.
In contrast, Green AI prioritizes energy-efficient practices. By focusing on sustainable development and deployment of AI systems, it seeks to minimize environmental harm without compromising innovation. Green AI introduces efficiency as a key metric alongside accuracy. It also advocates solutions that deliver high performance while conserving resources.
AI Powering Innovation but at What Cost?
We projected this study from ScienceDirect to understand the energy appetite of AI solutions. AI is growing rapidly, with bigger data needs and more complex models. However, this doesn’t always lead to equally big improvements in accuracy. While large language models (LLMs) like ChatGPT drive innovation, they come with significant environmental costs. Let’s dig deeper…
AI’s Growing Energy Appetite
The same report explains training GPT-3, for instance, consumed 1287 MWh of electricity and emitted 550 tons of carbon dioxide—comparable to flying 33 times between Australia and the UK.
The energy required for AI isn’t just during training. Using systems like GPT-3 also carries a hefty price. In January 2023 alone, GPT-3 processed 590 million queries, consuming energy equivalent to that of 175,000 people. On a smaller scale, each ChatGPT query uses as much power as running a 5W LED bulb for over an hour.
Fig: CO2 equivalent emissions for training ML models (blue) and of real-life cases (violet). In brackets, the billions of parameters adjusted for each model.
Source: ScienceDirect
Deloitte’s recent report, “Powering Artificial Intelligence: A study of AI’s environmental footprint”, revealed the following findings:
- Between 2021 and 2022, data centers accounted for 98% of Meta’s additional electricity use and 72% of Apple’s between 2022 and 2023.
- AI adoption will fuel data center power demand, likely reaching 1,000 terawatt-hours (TWh) by 2030, and potentially climbing to 2,000 TWh by 2050.
- This will account for 3% of global electricity consumption, indicating faster growth than in other uses like electric cars and green hydrogen production.
AI Data Centers: Energy Efficient or Energy Waste?
Data centers are the backbone of AI training and deployment, often referred to as the “cloud.” However, they rely on physical infrastructure for computing, processing, storing, and exchanging data. They require massive power and contribute heavily to the energy consumption of tech companies.
Different types of data centers have unique energy demands. Basic computer rooms handle simple tasks, while mid-size and large-scale enterprise data centers manage more complex operations. Hyperscale data centers, owned by tech giants have maximum hardware density and handle massive computational workloads, consuming the most energy.
Within this category, AI hyperscale data centers are emerging as a distinct segment. These centers are specifically built for generative AI and machine learning tasks, requiring high-performance GPUs for model training and inference.
This results in higher server power usage and the need for advanced cooling systems, further increasing energy consumption. Smaller data centers often lack the capacity for these high-demand workloads, driving the growth of AI-focused hyperscale facilities.
Fig: Data centers’ electricity consumption by server type and scenarios
But as they expand, a critical question remains: How sustainable are AI hyperscale data centers in the fight against climate change?
Well, this is where the demand for Green AI garners importance.
Why Green AI Matters?
The environmental cost of AI is no longer a hypothesis, it is palpable all around. Even blockchain technologies like cryptocurrency mining have demonstrated how unchecked digital innovation can lead to unsustainable energy consumption.
Coming straight to the topic, Green AI holds the promise of reversing this trend. For example, AI-powered tools can optimize supply chains, reduce waste, and improve energy grid efficiency. If developed responsibly, AI could become the key driving force behind the global effort to achieve carbon neutrality.
Thus, by combining innovation with sustainability, Green AI can meet the growing demand for computational power while reducing its impact on the environment.
Core Principles of Green AI
This means leveraging AI solutions that are not only effective in optimizing energy use in applications but are also inherently low-energy consumers. It’s crucial to balance AI’s benefits with its environmental impact. It means AI should support sustainability goals and not worsen the problems that it aims to solve.
Energy Efficiency
Green AI encourages the design of algorithms and models that consume less energy. Researchers can achieve this by developing lightweight models or installing techniques like pruning, quantization, and model distillation, which reduce computational requirements.
Hardware Optimization
Using energy-efficient hardware, such as GPUs with higher FLOPS per watt or specialized Tensor Processing Units (TPUs), can significantly cut AI’s energy consumption. Parallelizing tasks across multiple cores also helps reduce training times and emissions, though excessive cores may increase energy use disproportionately.
Another technique is edge computing which means processing data locally to avoid energy-intensive transmissions to cloud or data centers and optimizing resources for IoT (The Internet of Things) devices. Together, these strategies enable powerful AI performance with a smaller environmental footprint.
Data Center Optimization
Adopting renewable energy sources for powering data centers and AI operations is a significant milestone of Green AI. Companies like Google and Microsoft are already leading the charge by transitioning their cloud services to run on clean energy.
To make data centers more energy-efficient, researchers have created algorithms and frameworks that balance server loads, optimize cooling systems, and allocate resources more effectively. All these processes are included in data center optimization that cuts down energy use and emissions.
Transparency and Accessibility
Green AI promotes transparency in reporting the environmental costs of AI projects. Standardized metrics for energy consumption and emissions can help developers and organizations make informed decisions about their AI strategies.
Some of the tools that are used to estimate the carbon footprint of AI technologies are CarbonTracker, CodeCarbon, Green algorithms, and PowerTop.
Additionally, by lowering computational barriers, Green AI fosters inclusivity. Smaller organizations and researchers gain access to advanced tools without burdening themselves with high environmental and financial costs.
Fig: Achievable electricity demand reduction through energy savings, “High adoption” scenario
Policies Driving Green AI
The United Nations’ Sustainable Development Goals (SDGs) highlight the need for a sustainable future. Goals like Affordable and Clean Energy and Industry, Innovation, and Infrastructure are driving the rise of Green AI. Industry leaders are rethinking data center designs and operations to lower energy consumption and environmental impacts. This shows their eagerness to demonstrate proactive efforts toward sustainability.
While Green AI initiatives are mostly industry-led, some regions are implementing supportive policies. These range from monitoring low-impact data centers to stricter regulations for areas where grid stability is at risk. Thus, balancing these policies can encourage sustainable practices without moving operations to less regulated regions.
Notable policies include:
- European Code of Conduct for Data Centers (EU DC CoC)
- Energy Efficiency Directive (EED)
- Singapore Green Data Centre Roadmap
China has also introduced measures like the Three-Year Action Plan on New Data Centres, while the U.S. lacks federal-level regulations specific to data centers.
Policymakers can amplify these efforts by co-developing standards with industry leaders. Collaborative strategies ensure data centers meet climate goals without compromising growth or grid stability.
Green AI demonstrates that with the right policies and innovations, the tech industry can lead the way to a more sustainable future.
Green AI Takes the Spotlight at COP29
As world leaders convened in Baku, Azerbaijan, for COP29, discussions pointed to the role of AI in promoting environmental sustainability. A Deloitte-hosted panel brought together experts from NVIDIA, Crusoe Energy Systems, EON, and the International Energy Agency (IEA) to explore strategies for reducing AI’s environmental footprint.
Josh Parker, senior director of legal–corporate sustainability at NVIDIA, said,
“We see a very rapid trend toward direct-to-chip liquid cooling, which means water demands in data centers are dropping dramatically right now.”
According to NVIDIA, designing data centers while keeping energy efficiency at the highest priority right from the beginning is very much essential. As AI demands grow, sustainable infrastructure will be critical. Parker highlighted that current data centers are becoming outdated and inefficient.
He added, accelerated computing platforms are 10X more efficient than traditional systems for running workloads. This creates a significant opportunity to cut energy consumption in existing infrastructures.
Accelerated Computing: A Path to Green AI
Parker once again emphasized that accelerated computing represents the most energy-efficient platform for AI and many other applications. Over the past few years, energy efficiency for accelerated computing has improved dramatically, with a 100,000x reduction in energy consumption.
- In just the last two years, energy use for AI inference tasks dropped by 96%, with systems becoming 25x more efficient for the same workload.
Accelerated computing uses GPUs to process tasks faster and more efficiently than traditional CPUs. By handling multiple tasks simultaneously, GPUs reduce the energy required for AI workloads. It’s one of the techniques that come under hardware efficiency and data center optimization.
Furthermore, NVIDIA emphasized the need for energy-efficient infrastructure in data centers. Innovations like liquid-cooled GPUs are transforming cooling methods. Unlike traditional air conditioning, direct-to-chip liquid cooling consumes less power and water while maintaining effective temperature control.
The Bottom Line
Deloitte’s findings have adeptly showcased AI’s potential in driving climate-neutral economies. Green AI strategies focus on minimizing environmental impact by improving hardware design and increasing the use of renewable energy.
Industry leaders are spearheading these efforts, highlighting the effectiveness of sustainable computing practices. The shift toward accelerated computing and energy-efficient design is paving the way for AI to support global climate goals.
As we face a climate crisis, the integration of Green AI principles is no longer optional—it is essential. By redefining how AI solutions are developed, we can harness their power for good while minimizing their environmental toll. The road ahead demands collective effort, innovation, and accountability. Last but not least, Green AI is not just a technological imperative but a moral responsibility to ensure a greener future.
Key Sources:
- A review of green artificial intelligence: Towards a more sustainable future – ScienceDirect
- AI at COP29: Balancing Innovation and Sustainability | NVIDIA Blog
The post Green AI Explained: Fueling Innovation with a Smaller Carbon Footprint appeared first on Carbon Credits.
Carbon Footprint
Navigating Nature Based Solutions – The 2026 Forecast
Carbon Footprint
Surge Battery Metals Strengthens Nevada North With High-Grade Expansion and Infill Success
Surge Battery Metals (TSX-V: NILI | OTCQX: NILIF | FRA: DJ5C) delivered two strong updates from its Nevada North Lithium Project (NNLP) in February 2026. Together, these results confirm expansion potential, reinforce high-grade continuity, and advance technical work needed for the upcoming Pre-Feasibility Study (PFS).
On February 17, Surge reported a major step-out success. The company drilled a 31-meter intercept grading 4,196 ppm lithium from surface in a hole located 640 meters southeast of the existing resource boundary. This intercept sits well above the current resource average grade of 3,010 ppm lithium. The wide step-out confirms that high-grade mineralization extends significantly beyond the defined resource footprint.
Just one week later, on February 25, Surge released the final batch of results from its 2025 core drilling program. These infill holes focused on upgrading inferred resources to higher confidence categories and collecting technical data for the PFS. The results returned some of the strongest intercepts drilled to date.
Together, these two updates strengthen the project’s scale, quality, and development readiness.
Infill Drilling Confirms a Thick, High-Grade Core
The February 25 news highlighted Hole NNL-030 as a standout result. The hole intersected 116 meters, averaging 3,752 ppm lithium. Within that interval, a 32.1-meter zone graded 4,521 ppm lithium. These grades exceed the project’s current average and confirm the presence of a thick, ultra-high-grade core.
Hole NNL-032 also delivered strong results, returning 82.29 meters, averaging 3,664 ppm lithium. Hole NNL-036 intersected 78.63 meters, averaging 3,141 ppm lithium, including a deep 9.4-meter zone grading 4,580 ppm lithium.

These intercepts show both lateral and vertical continuity. They show that high-grade lithium persists across wide widths and at depth. Importantly, most of these zones occur near the surface. Near-surface mineralization reduces stripping requirements and can improve early-year mine economics.
The infill drilling supports resource upgrading efforts. It helps convert Inferred resources into Indicated and Measured categories. Higher confidence categories are critical for mine planning, financing, and permitting.
The results confirm that Nevada North’s high-grade core is consistent, thick, and scalable.
Mr. Greg Reimer, President & Chief Executive Officer and Director of Surge, stated,
“This infill drilling is doing exactly what it was designed to do: upgrade the resource, confirm continuity of some of our best lithium intercepts, and de-risk the early years of a potential mine plan at Nevada North. Coupled with a robust PEA economic profile, we believe Nevada North is strongly positioned as we move forward with the development of our PFS. We look forward to updating the Mineral Resource Estimate as our next key milestone.”
Expansion Beyond the Current Resource Boundary
The February 17 step-out result adds a new dimension to the project story. The 31-meter intercept grading 4,196 ppm lithium occurred 640 meters beyond the existing resource area. This large extension demonstrates strong mineral continuity outside the current pit-constrained model.
Step-out drilling is important because it tests the limits of a deposit. A successful 640-meter extension suggests the deposit remains open and may support future resource growth.
Nevada North already hosts a pit-constrained Inferred Resource of 11.24 million tonnes of lithium carbonate equivalent (LCE) grading 3,010 ppm lithium at a 1,250 ppm cutoff. High-grade step-out intercepts increase confidence that future resource updates may expand both tonnage and overall contained lithium.

Highly anomalous soil values and geophysical surveys also suggest the clay horizons could extend even further. The mineralized zone currently spans more than 4,300 meters in strike length and over 1,500 meters in width. Continued drilling could increase the overall scale of the project.
This combination of strong infill and wide step-out success strengthens Nevada North’s long-term growth profile.
Advancing Toward Pre-Feasibility and Permitting
The 2025 drilling program did more than confirm grade. It also collected critical technical data required for the upcoming PFS and environmental permitting.
Hole NNL-035 was strategically positioned near Texas Spring to gather hydrogeological data. The hole successfully installed the Vibrating Wire Piezometers (VWPs) to monitor groundwater conditions. This data will help model basin hydrology and support environmental approvals.
The company also completed detailed geotechnical logging across all holes. High-resolution televiewer surveys mapped fault structures. Representative samples from each rock unit are now undergoing rock strength testing. These tests will help determine safe pit wall angles for future mine planning.
Remarkably, quality control procedures were rigorous. Of the 806 total samples analyzed, 134 were QA/QC samples. Certified reference standards, blanks, and duplicates were systematically inserted.
Standards are performed within acceptable limits. Duplicate samples fell within 10% tolerance. These results confirm strong analytical accuracy and reproducibility.
This technical work reduces development risk. This, in turn, ensures that the PFS is built on high-quality geological and engineering data.
Strategic Upside: By-Products and Strong Economics
In addition to lithium, the infill drilling consistently returned elevated cesium and rubidium values. Cesium reached up to 163 ppm and rubidium up to 349 ppm in association with the lithium core. Surge is evaluating the deportment of these elements in ongoing metallurgical studies.
If recoverable, these critical minerals could add value to the project economics. By-product potential can improve revenue streams and enhance overall project returns.
Nevada North already shows strong economic metrics from its Preliminary Economic Assessment. The PEA reports an after-tax NPV (8%) of approximately US$9.17 billion and an after-tax IRR of 22.8% at a lithium price of US$24,000 per tonne LCE. Operating costs are estimated at roughly US$5,243 per tonne LCE.

High grades play a central role in these economics. Thick intervals averaging 3,500–4,500 ppm lithium reduce the tonnage required to produce each unit of lithium. This supports lower operating costs and stronger early cash flow potential.
The joint venture with Evolution Mining also strengthens the project’s development pathway. Evolution is a globally recognized mining company with operational expertise. This partnership adds technical depth and financial strength to the Nevada North project.
A Strengthened Position in the U.S. Lithium Landscape
The United States is working to strengthen its domestic lithium supply chain. Federal incentives and policy measures emphasize secure, locally sourced battery materials. Projects that combine high grade, large scale, and technical readiness are well-positioned in this environment.
Nevada North now demonstrates three key strengths at once:
- Proven high-grade core through infill drilling,
- Expansion potential through 640-meter step-out success, and
- Advancing technical data for PFS and permitting.
These updates reinforce Nevada North as one of the highest-grade lithium clay projects in the United States. They show both growth and de-risking in the same drilling campaign.
As global demand for lithium continues to rise, supply sources with strong grade, scale, and development momentum will stand out. Surge Battery Metals’ recent results highlight meaningful progress on all three fronts.
The company’s Nevada North Lithium Project is not only expanding. It is advancing toward higher confidence resources, improved technical definition, and future development milestones. These combined achievements strengthen Surge’s position within the evolving North American lithium supply chain.
DISCLAIMER
New Era Publishing Inc. and/or CarbonCredits.com (“We” or “Us”) are not securities dealers or brokers, investment advisers, or financial advisers, and you should not rely on the information herein as investment advice. Surge Battery Metals Inc. (“Company”) made a one-time payment of $50,000 to provide marketing services for a term of two months. None of the owners, members, directors, or employees of New Era Publishing Inc. and/or CarbonCredits.com currently hold, or have any beneficial ownership in, any shares, stocks, or options of the companies mentioned.
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It is our policy that information contained in this profile was provided by the company, extracted from SEDAR+ and SEC filings, company websites, and other publicly available sources. We believe the sources and information are accurate and reliable but we cannot guarantee them.
CAUTIONARY STATEMENT AND FORWARD-LOOKING INFORMATION
Certain statements contained in this news release may constitute “forward-looking information” within the meaning of applicable securities laws. Forward-looking information generally can be identified by words such as “anticipate,” “expect,” “estimate,” “forecast,” “plan,” and similar expressions suggesting future outcomes or events. Forward-looking information is based on current expectations of management; however, it is subject to known and unknown risks, uncertainties, and other factors that may cause actual results to differ materially from those anticipated.
These factors include, without limitation, statements relating to the Company’s exploration and development plans, the potential of its mineral projects, financing activities, regulatory approvals, market conditions, and future objectives. Forward-looking information involves numerous risks and uncertainties and actual results might differ materially from results suggested in any forward-looking information. These risks and uncertainties include, among other things, market volatility, the state of financial markets for the Company’s securities, fluctuations in commodity prices, operational challenges, and changes in business plans.
Forward-looking information is based on several key expectations and assumptions, including, without limitation, that the Company will continue with its stated business objectives and will be able to raise additional capital as required. Although management of the Company has attempted to identify important factors that could cause actual results to differ materially, there may be other factors that cause results not to be as anticipated, estimated, or intended.
There can be no assurance that such forward-looking information will prove to be accurate, as actual results and future events could differ materially. Accordingly, readers should not place undue reliance on forward-looking information. Additional information about risks and uncertainties is contained in the Company’s management’s discussion and analysis and annual information form for the year ended December 31, 2024, copies of which are available on SEDAR+ at www.sedarplus.ca.
The forward-looking information contained herein is expressly qualified in its entirety by this cautionary statement. Forward-looking information reflects management’s current beliefs and is based on information currently available to the Company. The forward-looking information is made as of the date of this news release, and the Company assumes no obligation to update or revise such information to reflect new events or circumstances except as may be required by applicable law.
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Carbon Footprint
Canada Approves First Uranium Mine in 20 Years as Tech Giants Eye Nuclear Fuel for AI Power
Canada has taken a major step in its mining history. The country recently approved the first large-scale uranium mine in more than 20 years. This new project is part of Canada’s effort to support clean energy and nuclear power production.
The federal and provincial governments approved the Phoenix In Situ Recovery (ISR) uranium mine. This mine is part of Denison Mines’ Wheeler River Project in Saskatchewan. This approval allows the construction of both the mine and its processing mill.
Phoenix will use ISR mining, a method seen as more environmentally friendly than traditional open-pit or underground mining. The technique uses liquid to dissolve uranium underground. It then brings the uranium to the surface for processing. This method reduces land disturbance compared to traditional methods.
With its license now issued and environmental reviews completed, construction is expected to take about two years. The project remains on track for its first production by mid-2028.
The approval is a milestone for Canada’s nuclear fuel sector. It signals renewed interest in uranium mining at a time when nuclear power is gaining traction as a low-carbon energy source.
A New Era for Canada’s Uranium Sector
Uranium is the key fuel for nuclear power plants. Nuclear power provides large amounts of low-carbon electricity around the world. As countries seek to reduce greenhouse gas emissions, nuclear energy is playing a growing role in clean energy strategies.
Canada is one of the world’s top uranium producers. Mines like Cigar Lake, McClean Lake, and Rabbit Lake in Saskatchewan have been supplying uranium for decades.

However, no new large mining projects had been approved at the federal level in over two decades before Phoenix. Canada can now boost uranium production. This will help support nuclear fuel supply chains at home and abroad.
The Phoenix mine will create economic benefits. This includes jobs during both construction and operations in northern Saskatchewan. It will also contribute to local tax revenue and community development.
Rising Power Needs Put Nuclear Back in Focus
Nuclear power accounts for a significant share of clean electricity globally. Nuclear reactors produce constant, reliable power that does not depend on weather like wind or solar. Many countries view nuclear energy as critical to meeting climate goals while maintaining grid stability.
As electric grids transition to cleaner energy sources, the demand for uranium — the core fuel for nuclear plants — is rising.
According to the International Energy Agency (IEA), global electricity demand grew by 3 % in 2025, following a 4.4 % increase in 2024. The agency expects demand to rise by about 3.6% each year from 2026 to 2030. This growth will come from industrial use, electrification, electric vehicles, cooling needs, and more data centers.

This growth underscores the need for reliable, low-carbon generation capacity. Nuclear energy is a strong candidate because it supplies large volumes of consistent electricity with low emissions.
Tech Sector Turns to Nuclear for 24/7 Power
As electricity demand grows, especially from data centers, tech companies are focusing on long-term power solutions.
Executives at NexGen Energy, developing Canada’s largest uranium project in Saskatchewan, say they’ve talked with data center providers. They discussed financing uranium mining projects and securing a long-term uranium supply. These talks aim to ensure stable fuel for nuclear plants that could help power future data infrastructure.
CEO Leigh Curyer said,
“It’s coming. You’ve seen it with automakers. These tech companies, they’re under an obligation to ensure the hundreds of billions that they are investing in the data centres are going to be powered.”
NexGen is working on the Rook I uranium project in Saskatchewan’s Athabasca Basin. This area is one of the richest for uranium and hosts Canada’s largest development-stage uranium project.

The company anticipates full government approval soon, and it aims for production around 2030. NexGen executives say the mine could supply more than 20 % of global uranium demand once operational.
NexGen’s discussions with data center operators focus on financing and long-term supply agreements. The idea is like car makers investing in battery material mines. They do this to secure vital supplies for electric vehicles.
These talks do not involve giving tech firms any control of NexGen. Instead, they focus on ways to help ensure uranium supply and potentially support early project development.
- MUST READ: From Now to 2060: How Canada’s SMRs and Maritime Nuclear Power Will Drive a Net-Zero Future
Why Tech Firms Are Interested in Nuclear Fuel
Modern data centers need a lot of electricity. This is especially true for those supporting AI, cloud computing, and large digital services. Power demand from data centers is a key driver of rising global electricity use, according to the IEA.
Unlike intermittent renewables, nuclear power provides 24/7 electricity that is not affected by weather. This reliability makes it attractive for companies that need stable energy for critical infrastructure.
Some technology firms have already signaled interest in long-term arrangements with nuclear energy providers. These supply arrangements might involve financing for mining, long-term fuel contracts, or offtake agreements when projects start production.
Long-term contracts for uranium can help companies lock in fuel supply for decades. This can reduce risks related to supply shortages or price volatility in commodity markets.The discussions show how energy security and climate goals are intersecting with corporate planning in the tech sector.
- SEE MORE: Project Matador: America’s $90B Nuclear Power Solution for AI, Semiconductors, and Data Centers
Tight Supply and Rising Prices Reshape the Market
The uranium market has tightened in recent years. Uranium prices have gone up. This rise shows supply issues and increasing interest in nuclear energy. Recent trading values put uranium at almost US$89 per pound, after briefly exceeding US$100 per pound in end of January.

Projections suggest that global nuclear capacity will need more fuel in coming decades as new reactors come online and existing ones are extended. Countries like China and India are expanding nuclear power to meet their growing electricity needs.
In Canada, new mines such as Phoenix and big projects like Rook I can fill global supply gaps. They also support national energy plans.
Global Supply Strain: U.S. and China Reshape the Uranium Market
The scramble for uranium supply is accelerating beyond Canada.
In the United States, a ban on Russian enriched uranium imports will take full effect in January 2028. Russia holds around 44% of the world’s uranium enrichment capacity. In 2023, it provided 27% of U.S. utility enrichment purchases, according to S&P Global Commodity Insights.
To reduce this dependence, the U.S. Department of Energy announced $2.7 billion in task orders to expand domestic enrichment capacity. The funding supports Centrus Energy, General Matter, and Orano Federal Services.
- Orano got $900 million to build a new enrichment facility in Oak Ridge, Tennessee. They expect to submit a license application in the first half of 2026.
Conversion capacity is also expanding. Solstice Advanced Materials plans to increase uranium conversion output by 20% at its Metropolis Works plant in Illinois. The facility is expected to exceed 10 kilotonnes of UF₆ production in 2026, and it is reportedly sold out through 2030.
At the same time, China’s nuclear buildout is adding pressure to global supply. China operates 58 reactors, with 34 more under construction. Citi Research estimates China’s uranium needs will rise from 35 million pounds in 2025 to 58 million pounds by 2030, equal to about 27% of global demand. Yet, China produces only around 4 million pounds domestically.
Global uranium demand could reach 400 million pounds by 2040, more than double today’s levels. Meanwhile, about 70% of post-2027 uranium requirements remain uncontracted, highlighting the growing supply gap.

S&P Global expects a uranium market upcycle until 2028, fueled by rising nuclear demand, especially from AI data centers. Global capacity is set to double, reaching 561-992 GW by 2050. Production jumps 141% to 141.2 million pounds by 2033, generating $14.9 billion revenue at $98.7/lb—65% above current prices.
Kazatomprom and Cameco will lead in 2025, generating $5.4 billion in revenue. This accounts for 86% of the group’s output. After 2028, NexGen and Denison will drive the supply wave, peaking at $1.6 billion in capex. Big Tech (Meta, AWS, Google, Microsoft) signs PPAs and equity deals.
Nuclear Fuel Security Becomes a Climate Strategy
The approval of a new mine after more than 20 years shows that uranium is regaining importance in global energy planning. The Phoenix ISR project and other potential mines reflect renewed confidence in nuclear fuel production.
Early interest from tech companies in securing uranium supply shows a shift in energy planning. As power demand increases, companies are exploring new clean energy options. They want stable, low-carbon electricity.
For countries pushing decarbonization, nuclear power — supported by a stable uranium supply — offers a path to reduce emissions while meeting baseload electricity demand.
In this context, the Canadian uranium sector is poised for growth. New mines and potential private sector involvement may strengthen nuclear fuel security, supporting both national and global energy transitions.
The post Canada Approves First Uranium Mine in 20 Years as Tech Giants Eye Nuclear Fuel for AI Power appeared first on Carbon Credits.
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