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Microsoft (NASDAQ: MSFT) and the Idaho National Laboratory (INL) have joined forces to make the nuclear licensing process faster and more efficient using Azure cloud and AI technology.

Backed by funding from the U.S. Department of Energy (DOE) Office of Nuclear Energy, through the National Reactor Innovation Center, this project aims to cut through the red tape that often delays the development of nuclear power.

INL and Microsoft have collaborated earlier as well. In 2023, INL and Idaho State University (ISU) nuclear engineering students developed the world’s first nuclear reactor digital twin — a virtual replica of ISU’s AGN-201 reactor — using Microsoft’s Azure cloud computing platform.

Heidi Kobylski, vice president for Federal Civilian Agencies, Microsoft, said,

“Artificial intelligence technologies can enable a new frontier of innovation and advancement by automating routine processes, accelerating development and freeing scientists and researchers to focus on the real complex challenges affecting our society. We are honored to collaborate with INL to help address the complicated process of nuclear licensing to potentially help speed the approval of nuclear reactors necessary to support our increasing energy demands.”

How Can Microsoft’s Azure AI Simplify INL’s Nuclear Licensing Documents?

INL is using a Microsoft-developed solution powered by Azure AI to generate engineering and safety analysis reports. These reports are required when applying for construction permits or operating licenses for nuclear power plants.

Normally, assembling these reports takes a lot of time and money. This is because developers have to gather safety data and technical details from various sources, then compile them into massive documents.

However, the Azure AI tool is changing that by significantly speeding up the process. It automatically generates the paperwork required for approvals from the U.S. Nuclear Regulatory Commission (NRC) and the Department of Energy (DOE), saving both time and resources.

Jess Gehin, associate laboratory director for Nuclear Science and Technology at Idaho National Laboratory, highlighted,

“This is a big deal for the nuclear licensing process. Introducing AI technologies will enhance efficiency and accelerate the deployment of advanced nuclear technologies.”

Additionally, Chris Ritter, division director of Scientific Computing and AI at INL, noted,

“AI holds significant potential to accelerate the process to design, license, and deploy new nuclear energy for the nation’s increasing energy needs. INL looks forward to early research to evaluate the applicability of generative AI in the nuclear licensing space.”

Blending AI Speed with Human Oversight

Moving on, this AI solution focuses on assembling the necessary reports using existing engineering and safety information instead of analyzing the data itself. Once the AI creates the draft documents, human experts step in to thoroughly review and verify every detail, ensuring accuracy, completeness, and regulatory compliance.

Moreover, the tool can help with many types of nuclear projects. It supports licensing for new light water reactors, upgrades to current plants, and even advanced reactor designs that use different fuels and cooling systems.

It’s also useful for nuclear test facilities approved by the NRC or DOE. Since advanced reactors often don’t follow standard designs, they need custom paperwork. This makes the AI tool especially helpful for developers trying to handle complex licensing steps quickly and correctly.

microsoft azure

nuclear US

Trump’s Support for Faster Nuclear Approvals

This AI effort aligns with recent U.S. policy shifts. In May, President Donald Trump signed executive orders aimed at accelerating the licensing process for new nuclear power plants. The goal is to shrink what’s typically a multi-year approval cycle down to just 18 months, as demand for electricity, especially from AI data centers, continues to rise.

data centers nuclear
Source: Bloom Energy

According to the Nuclear Energy Institute (NEI), the United States has 94 nuclear reactors that provide power to tens of millions of homes and serve as vital anchors for local communities.

The DOE is also encouraging private companies to submit proposals to build and operate advanced test reactors under the Atomic Energy Act. Their goal is to have at least three advanced reactors operational by July 4, 2026.

Notably, INL has received federal approval under the Defense Production Act, giving it priority access to materials and services to build two key facilities, namely the DOME and LOTUS

These test beds will support microreactors—compact nuclear units that produce 1 to 50 megawatts of reliable, zero-emission energy. They’re ideal for powering military bases, remote sites, and off-grid communities.

How AI Is Revolutionizing Nuclear Energy

As the world moves toward net zero, nuclear energy is gaining renewed focus as a clean, reliable power source. And AI is driving this transformation. Apart from s

Smarter, Safer, and More Efficient

From predictive maintenance to fusion research, it’s making nuclear power smarter, safer, and more efficient.

Notably, the U.S. Department of Energy already uses AI for reactor monitoring and maintenance. Also, fusion projects at MIT, ITER, and private firms use AI to manage complex plasma behavior, predict disruptions, and optimize reactor designs.

Boosting SMR Development

AI speeds up the development of advanced reactors, such as Small Modular Reactors (SMRs), by simulating performance and optimizing fuel efficiency. Companies like NuScale and TerraPower utilize AI to develop safer and more affordable nuclear solutions.

Safer Waste Management

Another important use of AI-powered robots and computer vision is in nuclear decommissioning. They handle hazardous waste and dismantle old plants, keeping humans safe from harm. Facilities like Sellafield in the UK are already benefiting from these innovations.

From this, we can well perceive how AI is proving to be a game-changer in the nuclear sector. From simplifying paperwork to accelerating approvals and cutting costs, tools like Azure AI are helping the U.S. lead the way in nuclear innovation. And INL is tapping on the right technology at the right time.

All in all, this success could make Microsoft a leader in AI for critical infrastructure and open up chances to bring AI to other heavily regulated industries.

The post Microsoft (MSFT Stock) Partners with INL to Accelerate Nuclear Reactor Permits Using AI appeared first on Carbon Credits.

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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.

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The post Copper Prices Surge Above $13,000: Best Copper Stocks to Watch in 2026 appeared first on Carbon Credits.

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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.

The post Carbon Markets Deliver First Results: Climate Policies Cut 3.1 Gigatons, First Paris Credits Issued by UN appeared first on Carbon Credits.

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