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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.

carbon emissions Green AI ML modelsSource: 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 thecloud.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 scenariosdata centers AI energy consumption

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” scenarioGreen AI energy reduction

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:

  1. A review of green artificial intelligence: Towards a more sustainable future – ScienceDirect
  2. 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.

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From Uranium to Thorium: The New Equation Driving Global Nuclear Innovation

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Thorium is making a strong comeback in the global energy conversation. For decades, it remained on the sidelines while uranium dominated nuclear power. Now, the shift toward net-zero emissions is changing that story. Countries need reliable, low-carbon energy that works around the clock. As a result, advanced nuclear technologies are gaining attention again—and thorium is leading that discussion.

At the same time, rapid innovation in reactor technologies is making thorium more practical. Designs such as molten salt reactors and small modular reactors are unlocking its potential. This combination of policy support, technological progress, and climate urgency is pushing thorium from theory toward reality.

Thorium vs Uranium: A New Nuclear Equation

Thorium is a naturally occurring radioactive metal found in the Earth’s crust, but it works differently from uranium. It is not directly fissile, which means it cannot sustain a nuclear reaction on its own. Instead, thorium-232 absorbs neutrons inside a reactor and transforms into uranium-233. This new material then drives the nuclear reaction.

This process may sound complex, but it delivers clear benefits. Thorium reactors or thorium-based fuel systems are more stable under high temperatures. They also reduce the risk of catastrophic failure, such as meltdowns. In addition, they generate far less long-lived radioactive waste compared to conventional uranium reactors

Thus, the comparison between thorium and uranium is the key to this transformation. We summarize the differences in the table below:

thorium vs uranium
Data Source: nuclear-power.com

Another factor is safety. Many thorium reactors use passive safety systems that rely on natural processes, which lowers the risk of accidents. Uranium reactors, especially older ones, depend more on active cooling and human control.

Geopolitics also plays a role. Uranium supply is concentrated in a few regions, creating risks. Thorium is more widely available, which improves energy security and reduces dependence on specific countries.

However, uranium still has a clear advantage today. Its infrastructure is already in place, and it has long powered nuclear energy. Often called “yellow gold,” it is well understood and widely used with a mature supply chain. Thorium still needs new reactor designs, fuel systems, and regulatory support, so it is more likely to complement uranium in the near term.

Advanced Reactor Technologies Unlocking Thorium

For many years, thorium remained underutilized because conventional reactors were not designed for it. Today, that is changing. New reactor technologies are making thorium more viable.

  • Molten Salt Reactors (MSRs): Use liquid fuel for better heat transfer and low pressure, improving safety, efficiency, and thorium utilization.
  • Advanced Heavy Water Reactors (AHWRs): Support mixed fuel use, enabling gradual thorium adoption; central to India’s nuclear strategy.
  • Small Modular Reactors (SMRs): Compact and flexible systems that are easier to deploy; increasingly designed to support thorium fuel cycles.
  • Liquid Fluoride Thorium Reactors (LFTRs): A type of MSR offering high efficiency and built-in safety, making them a leading thorium energy solution.

Global Thorium Reserves Highlight Long-Term Potential

Thorium’s abundance is one of its strongest advantages. According to geological assessments, these reserves could theoretically generate electricity for several centuries if fully utilized in advanced reactor systems. That makes thorium not just an alternative fuel, but a long-term energy solution.

Even when compared to rare earth elements, which total around 120 million tons globally, thorium remains highly competitive in terms of its energy potential, despite differences in extraction economics.

USGS data shows that the geographic spread of thorium further strengthens its appeal.

  • Major reserves are located in India, Brazil, Australia, and the United States. India leads with approximately 850,000 tons, followed by Brazil with 630,000 tons. Australia and the United States each hold around 600,000 tons.
  • In addition, countries within the Commonwealth of Independent States collectively hold about 1.5 million metric tons of thorium. This includes nations such as Kazakhstan, Uzbekistan, and Azerbaijan. This wide distribution supports global energy security by reducing reliance on a limited number of suppliers.

thorium

Regional Highlights

Asia-Pacific leads with over 55% of global share in 2025, supported by strong government backing, active research programs, and growing use of rare earth materials.

Countries like India and China are driving this growth. Rising energy demand and long-term policies are accelerating investment in thorium technologies. They are not just researching but actively preparing for deployment.

Meanwhile, North America is the fastest-growing region. Increased funding and private sector involvement are boosting innovation, especially in next-generation reactors that can use thorium fuel.

Together, this regional momentum is driving global competition and pushing the race for leadership in thorium energy.

Thorium Market Size and Demand Drivers

Market research reports indicate that the global thorium reactor market is projected to grow from $4.56 billion in 2025 to $8.97 billion by 2032, with CGAR 10.1%. This growth reflects increasing demand for clean, reliable, and low-carbon energy.

THORIUM MARKET

At the same time, other broader market estimates suggest the thorium sector could reach $13 billion by 2033, growing at a more moderate 4% rate. These figures include not just fuel, but also materials, reactor development, and associated technologies.

thorium market insights

Several factors drive this growth. Governments are increasing investments in clean energy technologies. Research institutions are advancing reactor designs. At the same time, the need for energy security and reduced carbon emissions is becoming more urgent.

These converging trends are positioning thorium as a strategic energy resource. While large-scale commercialization is still ahead, the direction of growth is clear.

Competitive Landscape: A Market Defined by Innovation

The thorium market is still in its early stages, and this is reflected in its competitive landscape. Unlike mature energy sectors, it is not dominated by large-scale commercial players. Instead, it is shaped by collaboration, research, and pilot projects.

Copenhagen Atomics’ Strategic Partnership with Rare Earths Norway

As the industry evolves, partnerships are becoming increasingly important. One notable example is Copenhagen Atomics, which has signed a Letter of Intent with Rare Earths Norway. This agreement aims to secure access to thorium from the Fensfeltet deposit in Norway.

This partnership highlights a key shift in how thorium is viewed. It is now being recognized as a valuable energy resource. By integrating thorium into supply chains, companies are laying the groundwork for future commercialization.

Copenhagen Atomics is also developing modular molten salt reactors designed for mass production. This approach requires not only technological innovation but also a reliable supply of materials. Partnerships like this are critical for building that ecosystem.

Thorium molten salt reactor, with the focus on low electricity price and fast installation

thorium molten salt reactor
Source: Copenhagen Atomics

India’s Thorium Strategy Sets a Global Benchmark

India stands out as one of the most advanced players in the thorium space. Its nuclear program is built around a three-stage strategy designed to fully utilize its domestic thorium reserves.

  • The country’s Department of Atomic Energy and Atomic Energy Commission are leading this effort. Research institutions are developing advanced reactor designs, including the Advanced Heavy Water Reactor and molten salt systems.
  • One of the key milestones is the Prototype Fast Breeder Reactor at Kalpakkam, which is expected to play a crucial role in producing uranium-233 from thorium. This will enable a closed fuel cycle, improving efficiency and sustainability.
  • Private sector involvement is also growing. Clean Core Thorium Energy is supplying advanced fuel for testing in existing reactors. At the same time, companies like NTPC and Larsen & Toubro are supporting large-scale deployment and infrastructure development.

India’s long-term vision is ambitious. With its vast thorium reserves, the country aims to secure an energy supply for up to 200 years. This strategy not only strengthens energy security but also positions India as a global leader in thorium technology.

Thor Energy: Leading in Fuel Development

Companies like Thor Energy are leading the way in fuel development. Their work on thorium-plutonium mixed oxide fuel and ongoing irradiation testing provides valuable real-world data. Similarly,

Other players are taking different approaches:

  • Ultra Safe Nuclear Corporation is integrating thorium fuel cycles into its Micro Modular Reactor design. This approach focuses on creating a fully integrated energy system.
  • NRG in the Netherlands is conducting critical experiments that provide data on reactor performance and fuel behavior.
  • National laboratories also play a key role. Organizations such as Atomic Energy of Canada Limited provide the expertise and facilities needed to support research and development. Their contributions are essential for advancing the technology.

Overall, the market is best described as a technology race. Companies are not competing on volume yet. Instead, they are competing to prove that their solutions work at scale.

A Strong Fit for the Net-Zero Transition

The global push for carbon neutrality is a major driver behind thorium’s rise. More than 130 countries have set or are considering net-zero targets. Achieving these goals requires a mix of energy solutions.

As we may already know, renewables like solar and wind are essential, but they are not always reliable. Their output depends on weather conditions, which creates gaps in the electricity supply. These gaps must be filled by stable, low-carbon sources.

Thorium-based nuclear power offers exactly that. It provides consistent baseload electricity without producing greenhouse gas emissions during operation. At the same time, it addresses key concerns associated with traditional nuclear energy, such as safety and waste.

This alignment with climate goals is driving interest in thorium. Governments are exploring it as part of broader energy strategies. Investors are also paying attention, recognizing its long-term potential. Simply put, this phase can be seen as a technology race. The goal is to prove that thorium systems can operate safely, efficiently, and economically at scale. Success in this area will determine the pace of market growth.

The post From Uranium to Thorium: The New Equation Driving Global Nuclear Innovation appeared first on Carbon Credits.

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Conflict in the Middle East Threatens Carbon Capture Buildout: What It Means for the Global CCUS Market?

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Conflict in the Middle East Threatens Carbon Capture Buildout: What It Means for the Global CCUS Market?

The conflict in the Middle East is raising doubts about major carbon capture projects in the Gulf region. Carbon capture, utilization, and storage, known as CCUS, is a technology that prevents carbon dioxide (CO₂) from entering the atmosphere. It captures CO₂ from industrial sources and stores it underground or uses it in industrial processes. CCUS is seen as crucial for cutting hard‑to‑abate emissions from oil, gas, cement, and steel.

Gulf Ambitions Hit the Pause Button

Before the conflict, Gulf plans aimed for about 20 million tonnes per year (Mtpa) of CCUS capacity by 2030. This would have positioned the region as a key global hub. But Rystad Energy says this is now unlikely. The pipeline may shrink closer to the lower case of around 12 Mtpa by 2035 due to delays and repriced risk. 

impact of middle east conflict to CCUS in gulf
Source: Rystad Energy

The Gulf’s CCUS buildout has strong logical drivers. The region has abundant oil and gas operations, and projects often connect to those facilities. However, when the upstream energy system is disrupted, CCUS plans can be delayed, pushed back, or re‑evaluated. This change affects investors’ view of CCUS as a near‑term investment in the region.

Rising Costs and Risk Reprice Carbon Capture

One major risk from prolonged conflict is rising energy costs. If energy prices jump — which often happens during regional conflict — the cost to capture and transport CO₂ also rises.

Rystad’s analysis shows that a 50 % rise in energy prices could increase capture and transport costs by about 30 %. That could push the cost of capturing a tonne of CO₂ well above the price range expected by 2030 in the European Union’s emissions trading system. 

  • The analysis suggests an increase from $95 per tonne to $124 per tonne using a ‘middle impact’ case, where energy prices rise about 50%.
ccus cost impact of energy price increase
Source: Rystad Energy

Higher costs come from more expensive power, higher equipment prices, and slower supply chains. All these pressures hit CCUS projects hard because they are already more costly than conventional infrastructure.

Energy‑intensive capture systems need cheap, reliable supplies of power and materials. Rising inflation and disrupted supply chains could reduce availability and slow project build‑outs. 

Longer project timelines may also raise the cost of capital. Investors typically demand higher returns when projects take longer or face greater uncertainty. In some cases, projects may only move forward if they are supported by governments or strategic partners, especially when the cost per tonne of CO₂ captured rises above key benchmarks. 

Global CCUS Market Still Expanding

While the Gulf faces near‑term risks, the global CCUS market has continued to grow. A large number of projects are being developed worldwide.

As of 2025, ~628 CCUS projects are tracked globally across all stages, with potential capture capacity exceeding 416 Mtpa if completed. Operational capacity reached 64 Mtpa from 77 facilities. The breakdown by number of facilities and total capture capacity is as follows:

commercial CCS facilities capacity and projects 2025 H1
Source: Global CCS Institute

The market is growing because many governments and companies have adopted emission‑reduction mandates. About 63 % of industries say these mandates accelerate CCUS deployment.

  • Nearly 55 % of new CCUS projects are integrated with other low‑carbon technologies like hydrogen or renewable energy.
CO₂ capture capacity of commercial CCS facility
Source: Global CCS Institute

North America leads global capacity, accounting for about 46 % of total CCUS project capacity. Europe holds around 26 %, Asia‑Pacific about 21 %, and the Middle East & Africa roughly 7 % of the total project pipeline.

The oil and gas sector remains the largest user of CCUS, making up about 53 % of the global captured CO₂. Industrial decarbonization in sectors like cement and steel now represents around 25 % of the planned capacity worldwide. 

operational CCS capacity per region
Source: IEA estimations

Market research also shows that the CCS market size was estimated at about USD 3.9 billion in 2025, growing at a compound annual growth rate (CAGR) of 7 % to reach USD 6.7 billion by 2033. This growth reflects rising investments in decarbonization technologies across industrial and power sectors.

Long-Term Outlook: The Gigaton Challenge

CCUS projects are growing, but still fall far short of what climate models recommend. A recent Rystad Energy forecast suggests that global CCUS capacity could expand to more than 550 million tonnes per year by 2030. That’s more than a tenfold increase over today’s roughly 45 million tonnes per year of captured CO₂.

However, this projected expansion is still far below what many climate scenarios require. Limiting global warming to under 2 °C often needs CCUS to capture nearly 8 gigatonnes of CO₂ each year by 2050 in many energy transition models. That means growth must accelerate sharply after 2030 to meet climate goals.

The IDTechEx forecast shows a strong long‑term outlook for CCUS. It estimates global capture capacity will hit around 0.7 gigatonnes per year by 2036. This indicates rapid growth, with a CAGR over 20% from 2026 to 2036. This would place CCUS as a major technology in global decarbonization, if investment and deployment scale up quickly.

What This Means for the Gulf and the World

For the Gulf region, rising geopolitical risk is changing how CCUS projects are evaluated. Many planned build‑outs linked to oil and gas value chains may be slowed or repriced as risk premiums rise.

Some analysts now expect that Gulf CCUS capacity may align with a more cautious trajectory through the mid‑2030s rather than a rapid 2030 build‑out. Moreover, the 8 Mtpa shortfall equals 1.5% of the projected 550 Mtpa global capacity, placing intense pressure on North America and Europe to accelerate.

Rising costs from energy price shocks further complicate the equation. With Middle East & Africa capacity shrinking from 7% to ~4% of the total pipeline, US 45Q projects and EU ETS industrial clusters must find enough replacement capacity.

Still, global drivers for CCUS remain strong. Governments and companies worldwide continue to plan and build projects. New technologies and integrations with hydrogen, renewable energy, and industrial clusters could help spread costs and scale the technology.

As many countries expand their net‑zero plans, CCUS will play a key role in managing emissions that are difficult to eliminate through electrification or fuel switching alone.

In this evolving landscape, the CCUS market is poised for significant long‑term growth, but near‑term geopolitical disruptions and cost pressures will require careful planning, strong policy support, and sustained investment. Strategic partnerships and global cooperation will be key to ensuring that CCUS can meet both economic and climate goals.

The post Conflict in the Middle East Threatens Carbon Capture Buildout: What It Means for the Global CCUS Market? appeared first on Carbon Credits.

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Indigenous and local knowledge in carbon projects: why it defines credit quality

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Carbon buyers are asking better questions: permanence risk, additionality, co-benefits, and third-party verification, has all become vital considerations. The due diligence applied to nature-based carbon credits has grown sharper and more rigorous over the past few years. Yet one factor consistently sits at the edges of buyer evaluation: Whether the communities living on and around the project land are genuinely embedded in its design, management, and long-term success.

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