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Microsoft Signs $19 Billion AI Deal With Nebius: Nvidia Scores Big as GPU King

Microsoft (MSFT) has taken a bold step in the race for artificial intelligence (AI) infrastructure. The company signed a deal with Nebius, an AI-focused infrastructure provider, valued between $17.4 billion and $19.4 billion over five years. This agreement, one of the largest of its kind, shows how fast demand for AI computing is growing and highlights Nvidia as a major beneficiary.

A Deal That Turns Heads

The contract between Microsoft and Nebius will supply Microsoft with advanced GPU-powered computing infrastructure. Deliveries will begin in late 2025 and are expected to continue for at least five years. The deal includes an option for Microsoft to expand capacity, raising the value from $17.4 billion to as much as $19.4 billion.

This agreement reflects the massive appetite for computing power created by AI models and applications. Training and running these systems requires huge numbers of high-performance GPUs. By choosing Nebius as a supplier, Microsoft ensures it has what it needs to compete with Amazon and Google in the cloud and AI markets.

The announcement had an immediate impact on financial markets. Nebius’ shares soared over 40% after the news, and it is the highest since the company’s founding. This shows how excited investors are about its role in the booming AI ecosystem.

Nebius stock
Source: TradingView

Nebius: A Rising Infrastructure Player

Nebius is a relatively new name in the global AI infrastructure market. Based in Amsterdam, it emerged from a spin-off of Yandex’s international operations. The company calls itself a “neocloud” provider. This means it offers GPU-focused infrastructure tailored for AI workloads.

The Microsoft deal transforms Nebius almost overnight into one of the most important players in this space. The agreement not only guarantees billions in revenue but also enhances Nebius’ profile with future partners.

The company plans to raise $3 billion more. They will use financing tools like convertible notes and stock offerings. These funds will help expand data centers and strengthen infrastructure. They aim to meet the demand from the new partnership with Microsoft.

This expansion is critical. AI adoption continues to accelerate, and the world’s largest companies are competing to secure reliable access to GPUs. Nebius, with Microsoft as a customer, has demonstrated its ability to deliver capacity on a massive scale.

artificial intelligence AI market 2030
Source: Grand View Research

Nvidia: The Silent Winner

While Microsoft and Nebius signed the contract, Nvidia also emerged as a big winner. Nebius’ infrastructure relies heavily on Nvidia’s GPUs, which are the most widely used chips for training and running AI models.

For Nvidia, this deal means billions of dollars in new demand for its products. Nebius will need to scale up its GPU purchases significantly to meet the contract requirements. In addition, Nvidia already owns a stake in Nebius, giving it a direct interest in the company’s success.

This development strengthens Nvidia’s dominance in the AI chip market. Despite competition from rivals such as AMD and Intel, Nvidia remains the go-to choice for large-scale AI infrastructure. The Microsoft–Nebius deal is another sign that Nvidia’s chips will remain central to AI growth for years to come.

Microsoft’s Strategy: Growth Without Heavy Spending

One of the most interesting aspects of this deal is what it says about Microsoft’s strategy. Rather than building all the data centers it needs on its own, the giant tech is turning to specialized providers like Nebius. This approach allows the company to expand its AI infrastructure faster and at a lower upfront cost.

Microsoft lowers financial risk by outsourcing a lot of capital expenses to Nebius. This way, they still get vital GPU capacity. Nebius will handle the heavy lifting of financing, building, and managing new data centers.

Microsoft, in turn, locks in the resources it needs to scale AI services such as Azure OpenAI without waiting years for in-house construction. 

Shaking Up the AI Infrastructure Game

The agreement between Microsoft and Nebius reflects a larger shift in the way AI infrastructure is being built. Instead of relying solely on in-house resources, tech giants are increasingly forming partnerships with focused infrastructure providers. This approach has several implications:

  • Faster scaling: Partnerships help companies like Microsoft quickly boost AI capacity. This method avoids the delays of constructing new facilities from the ground up.
  • Capital efficiency: Outsourcing big projects saves resources. Companies can then invest in software, apps, and customer services.
  • Industry growth: Deals of this size validate the role of new players like Nebius and give them the financial backing to expand further.

The AI Gold Rush: Billions Flowing Into GPUs

The Microsoft–Nebius deal fits into a fast-growing AI infrastructure market. Global spending on AI chips and cloud capacity is projected to exceed $200 billion by 2030, up from about $45 billion in 2024. One report even forecasted it to grow up to $400 billion by the decade’s end

AI for chips and cloud market
Source:

Demand for GPUs is expected to grow at an annual rate of 25–30%, driven by generative AI adoption. Analysts forecast that “neocloud” providers like Nebius could capture up to 15% of AI infrastructure contracts by 2030.

Nvidia, already holding more than 80% of the AI GPU market, is likely to remain the dominant supplier as demand surges worldwide.

At What Cost? AI’s Carbon and Energy Footprint

While the $19B Microsoft–Nebius deal reflects rapid AI growth, it also raises questions about sustainability. Training and running AI models need a lot of computing power. This means they also use a lot of energy.

Recent studies estimate that training a single large language model can emit over 500 metric tons of CO₂—equivalent to the lifetime emissions of several cars. Below is a comparison of the energy use and carbon footprint of the top LLMs used today.

Generative AI environmental footprint comparison

Data centers powering AI workloads already account for about 1.5% of global electricity use, and this could rise to 4% by 2030 as AI adoption surges. Much of this demand comes from GPUs, which consume far more power than traditional processors. Companies like Microsoft are under pressure to balance growth with environmental responsibility.

This means:

  • Investing in renewable energy

  • Improving data center efficiency

  • Exploring low-carbon infrastructure solutions

If the sector keeps going as it is, AI might turn into a big source of carbon emissions in tech. Major energy efficiency breakthroughs are needed to change this.

Why Everyone Wins in This AI Mega-Deal

The $19 billion deal between Microsoft and Nebius marks a turning point in the AI infrastructure market. It gives Microsoft the capacity it needs to compete in the fast-moving AI race. It elevates Nebius from a growing player to a global force in cloud infrastructure. And it confirms Nvidia’s role as the backbone of AI computing, benefiting directly from the demand for GPUs.

As demand for AI continues to rise, more deals like this are likely. Microsoft’s partnership with Nebius may be one of the biggest so far, but it is unlikely to be the last. The AI race is just beginning, and infrastructure providers, chipmakers, and cloud giants will all play critical roles in shaping its future.

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Copper Prices Surge Above $13,000: Best Copper Stocks to Watch in 2026

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Copper has re-entered the spotlight. Prices on the London Metal Exchange surged to a record $14,527.50 per metric ton on January 29 and continue to hover above $13,000. That rally did not happen by chance. Instead, it reflects a powerful mix of AI-driven demand, tight global supply, and rising geopolitical risk.

Today, copper sits at the center of the electrification and digital revolution. From AI data centers and electric vehicles to renewable power grids and defense systems, the red metal powers it all. As a result, investors, miners, and manufacturers are repositioning for what many now call a structural copper deficit.

LME copper prices
Source: LME

AI and Electrification Are Redefining Copper Demand

The global critical minerals market is entering a new phase. According to the International Energy Agency (IEA), the sector could grow two to three times by 2040. That expansion may require between $500 billion and $600 billion in new capital investment.

Electric vehicles need roughly four times more copper than traditional combustion cars. Wind turbines and solar farms require vast cabling networks. Meanwhile, grid upgrades demand heavy copper wiring to handle rising electricity loads.

AI-powered hyperscale data centers consume enormous amounts of copper for power distribution, cooling systems, and grounding infrastructure. A single large AI facility can require up to 50,000 metric tons of copper. That is three to four times more than a conventional data center.

J.P. Morgan estimates that copper demand from data centers alone could reach around 475,000 metric tons in 2026. That represents an annual increase of about 110,000 tons.

  • S&P Global study projects that global copper demand will grow from 28 million metric tons a year in 2025 to 42 million metric tons by 2040 – an increase of 50% above current levels.

copper demand AI

Major tech players are already securing supply. In January, Amazon Web Services signed a two-year agreement with Rio Tinto to purchase domestically produced copper from an Arizona mine. The deal marked one of the first direct links between low-carbon copper and AI infrastructure development.

Deficit or Surplus? Analysts Clash Over Copper’s Outlook

While demand accelerates, supply struggles to keep pace. Analysts now describe copper’s imbalance as structural rather than cyclical. J.P. Morgan projects a refined copper shortfall of roughly 330,000 metric tons in 2026.

Meanwhile, the International Copper Study Group (ICSG) expects the market to shift to a 150,000-ton deficit after previously forecasting a surplus of 209,000 tons.

copper supply
Source: ICSG

Even Goldman Sachs recently called copper the commodity with the highest growth potential this year, labeling it a “core target of the AI and electrification supercycle.” It projected that the copper market would record a surplus of around 160,000 metric tons this year. As a result, supply and demand are moving closer to balance. Given this outlook, the bank does not expect the global copper market to slip into a sustained shortage anytime soon.

copper supply
Source: Goldman Sachs

Mining projects face permitting delays, rising capital costs, and operational disruptions. Ore grades are declining at several mature mines. Political tensions in key producing regions have also added uncertainty.

For example, Freeport-McMoRan continues working to restore full operations at its massive Grasberg complex. The company expects production to ramp up in the second quarter of 2026, with about 85% of operations restored by the second half of the year. However, full recovery across all mining zones may not happen until 2027.

Freeport’s new smelter also remains on standby after a previous fire, though management expects concentrate intake to resume later in 2026. These challenges illustrate a broader trend: supply is not flexible enough to respond quickly to demand shocks.

US Inventories Surge, But Global Tightness Persists

Interestingly, the United States experienced a sharp rise in refined copper imports during 2025.

As per the latest reports, after the White House postponed its decision on tariffs, the price gap between U.S. copper traded on the CME and copper traded on the LME quickly narrowed. As a result, the trading opportunity disappeared for a short time. However, copper imports into the U.S. soon picked up again.

In December alone, nearly 200,000 metric tons entered the U.S. market. According to the World Bureau of Metal Statistics (WBMS), total U.S. refined copper imports reached 1.4 million tons in 2025. That marked a year-on-year increase of 730,000 tons.

Similarly, according to Benchmark, earlier in 2025, the price gap between U.S. and global copper prices rose to nearly $3,000 per ton. That large difference pulled huge volumes of copper into the country.

It estimates that more than 730 kt of copper is effectively “trapped” in the U.S. This surge created a sizeable inventory build inside the country.

Copper outlook

Yet, global supply remains tight. Much of the imported metal reflects precautionary stockpiling and strategic positioning rather than structural oversupply. Outside North America, deficits still loom large.

Therefore, while U.S. warehouses appear full, the broader market remains stretched.

Best Copper Stocks to Watch as the Deficit Deepens

With prices elevated and deficits emerging, mining companies are scaling up investments. Selective producers with strong balance sheets and operations in stable jurisdictions may benefit most if copper prices reaccelerate. In this global outlook, Canadian and allied-country producers enjoy added appeal.

For instance:

Teck Resources

The miner reiterated 2026 production guidance of between 455,000 and 530,000 tonnes. The company continues ramping up the Quebrada Blanca Phase 2 project in Chile, with peak capital spending nearing $2 billion. A proposed merger with Anglo American could create one of the world’s top five copper producers.

Hudbay Minerals

It reported record revenue and EBITDA in 2025. The company doubled its quarterly dividend and increased 2026 capital spending to support both sustaining operations and growth initiatives, including the Copper World project in Arizona.

Lundin Mining

Similarly, Lundin Mining delivered record revenue of $4.1 billion in 2025. Copper production reached over 331,000 tonnes at competitive cash costs. The company expects output to remain stable in 2026, while continuing to advance development projects across its portfolio.

Developers also see opportunity. Capstone Copper projects 2026 production between 200,000 and 230,000 tonnes. It plans significant sustaining and exploration investments to strengthen long-term growth. In addition, North American manufacturers are expanding. Revere Copper Products secured a $207.5 million credit facility in January to fund capacity expansion tied to electrification and data center demand.

So it’s clearly the industry is preparing for sustained strength.

Can Prices Stay Above $13,000?

The key question now is sustainability. A Reuters poll of 31 analysts published January 29 placed the median 2026 copper price forecast at $11,975 per ton. That figure sits well below recent peaks, yet it represents the highest consensus forecast ever recorded.

In other words, even cautious analysts expect historically strong pricing.

In conclusion, copper’s surge above $14,000 per ton signals more than a short-term rally. It reflects a big structural change. AI data centers, electrification, and energy transition projects are rewriting demand projections. At the same time, supply growth struggles under operational, political, and financial constraints.

Although price volatility will likely persist, the broader setup remains supportive. Producers with low costs, strong balance sheets, and exposure to stable jurisdictions may offer strategic advantages in this new cycle.

In many ways, copper has become the backbone of the AI and clean energy economy. And if current trends continue, the red metal’s supercycle may only be getting started.

READ MORE: 

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Adani’s $100 Billion Renewable AI Power Play: Can India Lead the Data Center Revolution?

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India is stepping into the global AI race with bold ambition. The Adani Group has unveiled a massive USD 100 billion plan to build renewable-powered, AI-ready hyperscale data centers by 2035. The strategy goes beyond digital infrastructure. Instead, it combines clean energy, advanced computing, and sovereign control into one integrated national platform.

If delivered as planned, this initiative could reshape India’s role in the global AI economy.

A $250 Billion Renewable-Backed AI Ecosystem Taking Shape

First and foremost, the scale of investment stands out. Adani’s direct $100 billion commitment is expected to catalyze another $150 billion across server manufacturing, advanced electrical systems, sovereign cloud platforms, and related industries. As a result, India could see the creation of a $250 billion AI infrastructure ecosystem over the next decade.

Currently, India’s data center capacity stood at 1,263 MW last year. However, projections suggest this could exceed 4,500 MW by 2030, backed by up to $25 billion in investments. At present, nearly 80% of capacity is concentrated in three metro cities. Therefore, policymakers are now pushing for more balanced regional expansion.

india data center capacity
Data Source: Colliers

This broader vision aligns closely with AdaniConnex’s roadmap. The company plans to expand its existing 2 GW national footprint toward a 5 GW target. Consequently, India could emerge as one of the world’s largest integrated renewable-powered AI data center platforms.

Importantly, strategic partnerships are already in motion. The Group is working with Google to build a gigawatt-scale AI data center campus in Visakhapatnam. At the same time, it is collaborating with Microsoft on major campuses in Hyderabad and Pune.

In addition, discussions with Flipkart aim to develop a second AI-focused facility tailored for high-performance digital commerce and large-scale AI workloads. Together, these alliances strengthen India’s ambition to become a serious AI infrastructure hub.

Integrating Renewable Energy and Hyperscale Compute

Unlike traditional data center projects, this 5 GW rollout integrates renewable power generation, transmission networks, storage systems, and hyperscale AI computing within a single coordinated architecture. In other words, energy and compute capacity will expand together, not separately.

adani renewables
Source: Adani
  • This approach matters because AI workloads are becoming increasingly energy-intensive. Modern AI racks often draw 30 kW or more per unit.
  • Therefore, high-density compute clusters require advanced liquid cooling systems and efficient power designs to maintain uptime and reduce waste.

At the same time, data sovereignty remains a priority. Dedicated compute capacity will support Indian large language models and national data initiatives. As a result, sensitive data can remain within the country while still benefiting from global-scale infrastructure.

Reliable transmission networks and resilient grids will underpin the system. By aligning generation, storage, and processing, the platform aims to ensure stability even at hyperscale.

Leveraging India’s Renewable Advantage

AI growth is directly tied to energy access. Globally, the surge in AI adoption has triggered concerns about rising electricity demand and carbon emissions. According to the IEA, 83 percent of India’s power sector investment in 2024 went to clean energy.

Adani plans to anchor its AI expansion on renewable energy. A key pillar is the 30 GW Khavda renewable project in Gujarat, where more than 10 GW is already operational. Moreover, the Group has pledged another $55 billion to expand its renewable portfolio, including one of the world’s largest battery energy storage systems.

india renewable

Battery storage will help manage peak loads and smooth intermittent renewable supply. Consequently, hyperscale AI campuses can operate reliably without heavy reliance on fossil fuels.

In addition, cable landing stations at Adani-operated ports will enhance global connectivity. These links will support low-latency data flows between India and major regions across the Americas, Europe, Africa, and Asia. Thus, India’s AI infrastructure will remain globally integrated while being powered by domestic renewable energy.

Building Domestic Supply Chains and Digital Sovereignty

Another critical element of the strategy focuses on reducing supply-chain risks. Global disruptions have exposed vulnerabilities in sourcing transformers, power electronics, and grid systems. Therefore, Adani plans to co-invest in domestic manufacturing partnerships to produce high-capacity transformers, advanced power electronics, inverters, and industrial thermal management solutions within India.

This step not only lowers external dependence but also strengthens India’s industrial base. Over time, the country could evolve from being a data hub into a producer and exporter of next-generation AI infrastructure.

Furthermore, the Group intends to integrate agentic AI across its logistics, ports, and industrial corridors. By doing so, it connects digital intelligence with physical infrastructure. This alignment supports national infrastructure programs while modernizing heavy industries through secure automation.

Expanding Access to High-Performance Compute

Beyond infrastructure scale, accessibility is equally important. India’s AI startups and research institutions often face compute shortages. Therefore, Adani plans to reserve a portion of GPU capacity for domestic innovators.

This move could significantly reduce entry barriers for startups and deep-tech entrepreneurs. As a result, innovation may accelerate across sectors such as healthcare, logistics, climate modeling, and advanced manufacturing.

The strategy also aligns with India’s five-layer AI framework—applications, models, chips, energy, and data centers. By participating across these layers, the Group strengthens the entire AI stack.

In parallel, partnerships with academic institutions will establish AI infrastructure engineering programs and applied research labs. A national fellowship initiative will further address the country’s growing AI skills gap.

India’s AI Data Center Market Gains Massive Momentum

Meanwhile, market fundamentals remain strong. According to Mordor Intelligence, India’s AI-optimized data center market is valued at $1.19 billion in 2025 and could reach $3.10 billion by 2030, growing at over 21% annually.

india data center AI
Source: Modor Intelligence

Several factors are driving this acceleration. Data localization requirements are tightening. Enterprises increasingly treat sovereign data processing as a strategic necessity rather than a cost burden. Moreover, energy-efficient AI hardware and hyperscale cloud expansions are fueling capital expenditure.

The Mumbai–Bangalore corridor has emerged as a key AI backbone due to its fiber density, cloud presence, and renewable energy agreements. Major hyperscalers have expanded aggressively, creating spillover demand for colocation providers and secondary cities.

Taken together, Adani’s $100 billion renewable-powered AI platform represents one of the most ambitious integrated energy-and-compute commitments ever announced at a national scale.

Importantly, this is about aligning renewable energy, grid resilience, hyperscale compute, domestic manufacturing, and digital sovereignty into a single long-term strategy. It would reduce India’s compute scarcity, accelerate clean energy deployment, and secure a leadership role in the global Intelligence Revolution.

The post Adani’s $100 Billion Renewable AI Power Play: Can India Lead the Data Center Revolution? appeared first on Carbon Credits.

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Carbon Markets Deliver First Results: Climate Policies Cut 3.1 Gigatons, First Paris Credits Issued by UN

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Carbon Markets Deliver First Results: Climate Policies Cut 3.1 Gigatons, First Paris Credits Issued by UN

Two fresh developments put carbon policy and carbon credits back in the spotlight. First, a new peer-reviewed study in Nature Communications estimates that national climate policy packages reduced real-world emissions substantially in 2022. Second, the UN carbon market approved the first-ever issuance of credits under the Paris Agreement.

Both stories focus on one core issue. Countries need to cut emissions fast, and they need tools they can trust. Policy rules can push change inside national borders. Carbon credits can help move money to projects that cut emissions on the ground. The hard part is proving results and avoiding double-counting.

What the New Study Measured: Inside the 3,917-Policy Climate Dataset

The Nature Communications study looks at national “policy portfolios.” That means many climate policies work together, not one rule at a time. The authors used the International Energy Agency (IEA) Policies and Measures Database and built a dataset of 3,917 climate policies from 2000 to 2022. They studied 43 countries, covering OECD members plus major emerging economies in the BRIICS group.

The study links larger and stronger policy portfolios with faster declines in fossil CO₂ emission intensity. Emission intensity means CO₂ per unit of economic output.

The paper also finds that policy results improve when countries pair policies with clear long-term targets and supportive institutions. The authors point to factors like national emissions reduction targets and dedicated energy or climate ministries.

The study’s most cited figure is its estimate of “avoided emissions.” The authors compare observed emissions to a counterfactual case where those policy portfolios did not exist.

  • Across the full 43-country sample, they estimate 27.5 GtCO₂ avoided over 2000–2022, and 3.1 GtCO₂ avoided in 2022 alone.

How Big is 3.1 Gigatons?

A reduction of 3.1 GtCO₂ in 2022 is large. It equals 3.1 billion tonnes of CO₂ in one year, compared with the study’s no-policy scenario. In comparison, the International Energy Agency reports that global energy-related CO₂ emissions reached over 36.8 Gt in 2022.

If you put those two numbers side by side, 3.1 Gt is roughly a single-digit share of global energy-related emissions in that year.

That comparison is not perfect because the study focuses on a 43-country sample and uses a specific method. Still, it gives a sense of scale. Climate policies can measurably reduce emissions, but the world still emits tens of gigatons each year.

The study also highlights that results vary by country group. For the BRIICS subset, it estimates 14.6 GtCO₂ avoided over 2000–2022, and 1.8 GtCO₂ avoided in 2022. This suggests emerging economies play a major role in the total, because their emissions are large and still changing fast.

climate policies cut emissions 2022
Notes: Upper panel [a] shows median (blue line) and extreme values (blue band) of climate policy accumulation and median (red line) and extreme values (red band) of fossil CO2 emission intensity over 2000–2022 for three country groups (OECD countries in the EU, non-EU OECD countries, and BRIICS). Lower panel [b] maps cumulative numbers of climate policies in 2022, with hatching for countries selected for policy vignettes (see text for details). Source: https://doi.org/10.1038/s41467-026-68577-z

Article 6.4 Moves From Blueprint to First Issuance

On 26 February 2026, the UNFCCC announced that a UN body approved the first credits to be issued under the UN carbon market created by the Paris Agreement. The approval covers a clean-cooking project in Myanmar that distributes efficient cookstoves. UNFCCC says the stoves reduce harmful household air pollution and reduce pressure on local forests.

This matters because Article 6.4 is meant to be the Paris Agreement’s centralized crediting system. It aims to generate “Article 6.4 Emission Reductions,” which countries can use to cooperate on meeting climate targets. The UNFCCC release frames this first approval as a shift from designing the market to operating it in the real world.

article 6.4 PACM
Source: UNFCCC

The release also includes details about how the credits will be used. It says the project is coordinated with authorized participants from the Republic of Korea.

Credits authorized for use in Korea can be transferred to Korean entities for use in the Korean Emissions Trading System. They can also support Korea’s climate target. UNFCCC says the remaining credits will support Myanmar’s own target.

The UN body also explains how it handled integrity concerns around older systems. It says the project previously received a provisional issuance under the Kyoto Protocol’s Clean Development Mechanism (CDM).

Under the Paris mechanism, the UN applied updated values and more conservative calculations. The Supervisory Body Chair, Mkhuthazi Steleki, said the credited reductions are about 40% lower than what older systems would have issued. He specifically noted:

“This initial issuance reflects the careful application of the rules set by countries under the Paris Agreement. By applying updated values and more conservative calculations, the credited reductions are about 40 percent lower than what older systems would have issued. The result is consistent with environmental integrity requirements and ensures that each credited tonne genuinely represents a tonne reduced and contributes to the goals of the Paris Agreement.”

The Paris Agreement diagram
Source: UNFCCC

UNFCCC notes that a short process step remains. Approval stays subject to a 14-day appeal period, during which project participants, the host country, and directly affected stakeholders can submit an appeal.

Policy Impact Meets Carbon Market Integrity

The Nature study and the UN issuance story connect in a simple way. The study focuses on what national policies can achieve at scale. The UN story focuses on how the world may credit and trade smaller project-level emission cuts under shared rules. Both depend on measurement and accounting.

  • The Nature study tries to answer this question: Do policies, as a package, actually reduce emissions? It uses a cross-country econometric approach and estimates a 2022 “avoided emissions” value from those national portfolios.
  • The UN carbon market tries to answer another question: Do project credits represent real reductions, and can countries use them without counting the same reduction twice? In the first issuance decision, UNFCCC emphasizes stronger safeguards and more conservative calculations compared with older crediting rules.

This matters for buyers and for governments. If credits overstate results, buyers may claim progress without a real climate impact. If countries double-count, global totals look better on paper than they are in the atmosphere. The UNFCCC framing of “about 40% lower than older systems” shows it wants to build credibility early.

Scale, Transparency, and the Real Test for Carbon Markets

The near-term question is scale. One issuance is symbolic, but global carbon markets and national plans need volume and variety.

UNFCCC says more than 165 host-Party-approved projects are in the pipeline to transition from the CDM into the new Paris Agreement Crediting Mechanism. It also says these activities span sectors such as waste management, energy, industry, and agriculture. That pipeline suggests more issuances could follow if projects meet updated standards.

At the same time, the Nature study suggests that national policy portfolios already avoid gigatons of emissions, but not enough to meet Paris goals on their own. That creates a practical lesson for carbon markets.

Carbon credits work best when they complement strong domestic policies, not replace them. Countries still need power-sector rules, efficiency standards, clean-industry support, and enforcement.

In 2026, three measurable signals will shape progress. More Article 6.4 issuances are expected to follow after appeals and reviews are completed. Host countries and buyer countries will need to maintain clear records on where credits go and how they are used. National policy packages must also continue to expand in ways that deliver real emission reductions, not just targets on paper.

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