In a frenzied race against a looming carbon time bomb, tech behemoths are grappling with the environmental ramifications of their sprawling data centers worldwide. These data centers, essential for powering today’s digital infrastructure, have emerged as greedy consumers of energy, particularly as the demand for artificial intelligence (AI) continues to skyrocket.
As AI becomes increasingly integral to various industries, the energy demands of data centers are exploding. This, in turn, calls for urgent action to mitigate their massive environmental footprint.
AI’s Energy Appetite: Unleashing Data Center Emissions
Between 2010 and 2018, there was an estimated 550% increase globally in the number of data center workloads and computing instances.
Data centers and transmission networks collectively contribute up to 1.5% of global energy consumption. They emit a volume of carbon dioxide comparable to Brazil’s annual output.
Hyperscalers like Google, Microsoft, and Amazon have committed to ambitious climate goals, aiming to decarbonize their operations. Hyperscalers are large-scale, highly optimized, and efficient facilities.
However, the proliferation of AI poses a huge challenge to these objectives. The energy-intensive nature of graphics processing units (GPUs), essential for AI model training, magnifies the strain on energy resources.
According to the International Energy Agency (IEA), training a single AI model consumes more power than 100 households in a year.
Per another source, the amount of computing power needed for AI training is doubling every 6 months. Fifty years ago, that happened every 20 months, as seen in the chart below.

More alarmingly, in just over a decade, the computing power used for AI model development has increased by a staggering factor of 10 billion. And it would not slow down.
Industry estimates forecast that power use can go up to 13% by 2030 while the share of global carbon emissions would be 6% for the same year.

The Cost of AI: Balancing Power and Progress
The climate risks posed by AI-driven computing are profound, with Nvidia CEO Jensen Huang highlighting AI’s significant energy requirements. Jensen projected a doubling of data center costs within 5 years to accommodate the expanding AI ecosystem.
For instance, compute costs for training advanced AI models like GPT-3, boasting 175B parameters, and potentially GPT-4 are predictably substantial. The final training run of GPT-3 is estimated to have ranged from $500,000 to $4.6 million.
Training GPT-4 could have incurred costs in the vicinity of $50 million. However, when factoring in the compute required for trial and error before the final training run, the overall training cost likely exceeds $100 million.
On average, large-scale AI models consume approximately 100x more compute resources than other contemporary AI models. If the trend of increasing model sizes continues at its current pace, some estimates project compute costs to surpass the entire GDP of the United States by 2037.
According to computer scientist Kate Saenko, the development of GPT-3 emitted over 550 tons of CO2 and consumed 1,287 MW hours of electricity. In other words, these emissions are equivalent to those generated by a single individual taking 550 roundtrip flights between New York and San Francisco.
Not to mention that such figures account for the emissions directly associated with developing or preparing the AI for use. Other sources of emissions are not included.
Solutions to Reduce Data Center Carbon Footprints
To mitigate data center emissions, industry players have pursued various strategies, including investing in renewable energy and using carbon credits.
While these initiatives have yielded some progress, the escalating adoption of AI requires additional measures to achieve meaningful emission reductions.
Google’s load-shifting strategy exemplifies a promising approach to addressing this challenge. It synchronizes data center operations with renewable energy availability on an hourly basis.
By deploying sophisticated software algorithms, Google identifies regions with surplus solar and wind energy on the grid and strategically ramps up data center operations in these areas.
- The logic behind the approach is simple: Reduce emissions by upending the way data centers work.
The tech giant has also initiated the first initiative to align the power consumption of certain data centers with zero-carbon sources on an hourly basis. The goal is to power the machines with clean energy 24/7.
Google’s data centers are powered by carbon-free energy approximately 64% of the time, with 13 regional sites achieving an 85% reliance on such sources and seven sites globally surpassing the 90% mark, according to Michael Terrell, who spearheads Google’s 24/7 carbon-free energy strategy.
Cirrus Nexus actively monitors global power grids to identify regions with abundant renewable energy. Then they strategically allocates computing loads to minimize carbon emissions. By leveraging renewable energy sources and optimizing data center operations, significant reductions in carbon emissions were achieved.
The company was able to cut computing emissions for some workloads and the clients by 34%. It uses cloud services offered by Amazon, Microsoft, and Google.
Navigating the AI-Driven Energy Crisis
In recent years, both Google and Amazon have experimented with adjusting data center usage patterns. They do it both for their internal operations and clients using their cloud services.
Nvidia offers another solution to this AI-driven power crisis – green computing accelerated analytics technology. It can slash computing cost and carbon footprints by up to 80%.
Implementing load shifting necessitates collaboration between data center operators, utilities, and grid operators to mitigate potential grid disruptions. Still, this strategy holds immense promise in advancing sustainability goals within the data center industry.
As the demand for AI soars, addressing the energy requirements of data centers is paramount to mitigating carbon emissions. Innovative strategies such as load shifting offer a pathway towards achieving carbon neutrality while ensuring the reliability and efficiency of data center operations in an increasingly AI-driven landscape.
The post The Carbon Countdown: AI and Its 10 Billion Rise in Power Use appeared first on Carbon Credits.
Carbon Footprint
AstraZeneca Turns Up the Heat: New Program Tackles Industry’s Toughest Emissions
Industrial heat production makes up a large share of global emissions. About 18% of all greenhouse gas emissions come from heat used in factories, plants, and manufacturing processes. This type of heat is hard to decarbonize because it often requires high temperatures that are still powered by fossil fuels like natural gas.
To tackle this challenge, AstraZeneca, together with Secaro and ERM, launched the Clean Heat Program. The initiative helps companies measure, plan, and reduce industrial heat emissions across their supply chains.
Rob Williams, Senior Director of Sustainable Procurement at AstraZeneca, said:
“It’s clear that a programme like this is the fastest and most effective way to decarbonise heat in our supply chain. We are long-term partners with Secaro and ERM, and now we’re expanding relationships with peers, buyers from other industries and suppliers to plan, fund and launch the projects that will make heat decarbonisation a reality.”
Industrial Heat: The Hidden Carbon Giant
Fossil fuels still supply most industrial heat energy today. Cleaner alternatives like electrification, hydrogen, or biofuels often cost more. They also require new technology and infrastructure.
Despite its importance, industrial heat has received less focus than clean electricity or transport. In many industries, heat drives fundamental operations, from making chemicals to processing food. Because of this, experts say improving how heat is produced is key to cutting industrial emissions.
Clean Heat Program: Turning Plans into Action
In March 2026, AstraZeneca teamed up with ERM and Secaro to launch the Clean Heat Program. This initiative aims to help companies reduce emissions tied to industrial heat across their supply chains.
By combining data tools, technical support, and financing options, the program aims to make it easier for industrial facilities to adopt low-carbon heat solutions and accelerate decarbonization.
AstraZeneca is joining as a founding partner. The company has its own near‑term climate goals. By 2026, it aims to cut 98% of its Scope 1 and 2 emissions from operations compared to a 2015 baseline.

The pharma giant has already achieved 88.1% reduction by the end of 2025. Its long‑term target is to reach net zero by 2045, including deep cuts in emissions across its suppliers and partners.
The Clean Heat Program is designed to go beyond simple planning. It aims to help companies move from studying options to actually acting on decarbonizing heat.
The program combines:
- Supply chain data tools that show where heat is used and emitted.
- Technical support to find practical ways to reduce emissions.
- Financing options to help companies afford projects that cut heat emissions.
Secaro maps heat emissions across supply chains while ERM designs bankable projects, heat pumps, biomass conversion, and electrification upgrades. Notably, financing leverages EU funds and carbon credit revenue to de-risk upfront costs, moving companies from analysis to implementation.
Unlike many efforts that focus on one plant or site, the program looks at supplier networks. This broader view helps companies pinpoint where changes will have the biggest impact.
Why High-Temperature Heat Is Hard to Replace
Industrial heat is one of the largest sources of industrial emissions. According to the International Energy Agency, around 70% of industrial energy demand goes to producing heat for processes such as steel, cement, and chemicals.

Estimates from IEA data show that heat-related emissions are about 6.5 gigatonnes of CO₂ each year. This underscores the significant decarbonization needed.
The same analysis suggests that these emissions must drop to less than 1 gigatonne by 2050. This pathway needs quick action from various industries. It also requires strong investment in technology and changes in supply chains to cut emissions in high-temperature processes.
Industrial heat often uses natural gas or other fossil fuels. While electricity can now come from wind or solar, renewable options for high‑temperature heat are still emerging. Solutions such as electrification, biomass fuels, or hydrogen require new equipment and deep planning.
Electrification technologies work for low-temperature heat below 200°C. But industries that need higher heat still rely on fossil fuels. Secaro’s data show that 80% of industrial energy consumption is tied to heat, and 60% of these come from natural gas.
This complexity makes industrial heat one of the hardest parts of decarbonization — even for companies with net‑zero goals. In many cases, heat emissions make up a large share of a company’s direct emissions, known as Scope 1 emissions.
Currently, less than 10% of sites use biofuels or other renewable energy. Industry forecasts suggest that renewable heat may reach only 15% of industrial use by 2028 unless strong action is taken.

Pressure’s On: Regulators, Investors, and Rising Energy Costs
Pressure to cut heat emissions is growing from both regulators and investors. New rules such as the European Union’s Carbon Border Adjustment Mechanism (CBAM) and updated disclosure requirements from the U.S. Securities and Exchange Commission (SEC) require more detailed emissions reporting and climate risk disclosure.
Companies that ignore their emissions might face penalties. They could also lose contracts with buyers who want cleaner supply chains.
Energy price volatility also plays a role. Firms that rely on fossil fuels for heat may face wide swings in energy costs. Decarbonizing heat can help companies stabilize fuel expenses and reduce exposure to price shocks, which investors increasingly watch closely.
Tools and Support for Heat Decarbonisation
Secaro’s data platform is central to the program. It now offers heat-specific insights, which show where emissions are highest and highlight chances for change. The platform links buyers, suppliers, and solution providers to highlight high‑impact decarbonization actions.
ERM steps in with its technical expertise. It helps companies assess options and build project plans to attract investment.
These can include:
- Higher energy efficiency
- Switching to low-carbon fuels
- Installing heat recovery systems
- Adopting new technologies, like high-temperature heat pumps
Financing is also part of the program. Many industrial heat projects stall because of upfront costs. The initiative aims to connect companies with financing options, including funds based in the European Union and other mechanisms that help lower financial barriers.
Markets Are Warming Up: Forecasts for Industrial Decarbonization
Efforts like the Clean Heat Program are significant as the market for industrial decarbonization is growing. A recent market outlook projects that global industrial heat decarbonization could grow steadily over the next decade.
From 2025 to 2033, the market is expected to expand at a compound annual growth rate (CAGR) of about 6%, reaching an estimated $380 billion by 2033.

Technologies such as industrial heat pumps are also gaining traction. These devices can reuse waste heat and reduce energy losses. A market forecast shows that the global industrial heat pump market will rise to over 13,150 units by 2035. Revenues may exceed $9.1 billion by that time.
Even though many low‑carbon heat solutions exist, adoption has been slow. For example, only a small share of industrial sites in some sectors currently use renewable heat sources. Without stronger action, forecasts suggest renewable heat may reach only around 15% of industrial heat use by 2028.
A Clear Path for Companies and Supply Chains
The Clean Heat Program offers companies a way to close the gap between their climate goals and the real challenges of industrial heat. It helps companies move beyond early analysis and toward real projects that reduce emissions, improve energy security, and meet investor and regulatory expectations.
For supply chain partners and smaller suppliers, the program can lower barriers to entry. Many small and mid‑tier suppliers struggle to access data, technical support, or financing. This initiative aims to change that by giving a clearer path to decarbonization. If widely adopted, this approach could help reduce significant emissions from industrial heat worldwide and support broader climate goals.
The post AstraZeneca Turns Up the Heat: New Program Tackles Industry’s Toughest Emissions appeared first on Carbon Credits.
Carbon Footprint
Reliance and Samsung C&T $3B Green Ammonia Deal Powers India’s Hydrogen Exports
The post Reliance and Samsung C&T $3B Green Ammonia Deal Powers India’s Hydrogen Exports appeared first on Carbon Credits.
Carbon Footprint
Who Will Drive the Next Wave of Carbon Credit Demand? Insights from AlliedOffsets
The voluntary carbon market (VCM) lets companies buy carbon credits to offset their greenhouse gas emissions. AlliedOffsets, a data and technology firm for carbon offsetting, tracks this market closely. Their database covers more than 36,000 projects, over 28,000 buyers, and billions of tons of carbon that have been issued or retired.
The VCM is growing fast. Over the last five years, most buyers have come from technology, telecommunications, and energy. Other sectors, like industrials, manufacturing, financial services, and aviation, also participate, though in smaller amounts.
The United States, the United Kingdom, France, Germany, and Japan have the most buyers, showing that developed countries lead the market.
As the market grows, new companies and sectors are expected to join. AlliedOffsets studied over 130,000 companies to predict who will likely buy carbon credits next. This helps sellers, project developers, and policymakers focus their efforts where demand is likely.
LtB Model: Predicting the Next Wave of Credit Buyers
AlliedOffsets uses a model called Likelihood to Buy (LtB). It looks at companies active before and since 2024, and even those that have never bought credits publicly. The company stated:
“Ranking specific companies’ likelihoods and identifying patterns in their unifying traits informs market suppliers and intermediaries about who to pivot engagement towards. Understanding the features that play the greatest roles in determining companies’ likelihoods, meanwhile, is vital for highlighting wider drivers for the growth of the market, which serve as levers for policymakers and signals for companies themselves.”
The model includes data from 36 global registries, covering both non-anonymous purchases and retirements. It looks at several key factors that affect a company’s likelihood to buy, including:
- Abatement potential – how easy it is for the company to reduce emissions.
- Data center usage – companies with large data centers use more energy and may buy more credits.
- Headquarters country – companies in the US, UK, and China lead predicted purchases.
- Internal carbon pricing – companies with higher carbon costs buy more credits.
- Net-zero targets – companies with short-term or long-term climate goals are more likely to buy.
- Sector – aviation, energy, and tech tend to buy more due to rules and public pressure.
- Annual profit or loss – profitable firms are more able to purchase carbon credits.

The model also uses SHAP analysis to show which factors influence predicted buying the most. Companies that recently bought credits are weighted higher. Some sectors, like aviation, are manually marked as high-likelihood because of rules like CORSIA, which requires airlines to offset emissions.
AlliedOffsets also separates companies into new entrants and returning buyers, helping track demand trends.
Forecasted Carbon Credit Demand
AlliedOffsets predicts that new and returning buyers will need about 281 million credits per year. This comes from over 11,500 companies with characteristics similar to current buyers.
The demand by project type is expected to have this composition:

Demand for forestry projects is rising, partly because of forward contracts, which made up 55% of the 147 million credits negotiated in 2025.

By country, the greatest demand will come from the U.S., China, UK, France, Germany, and Brazil.

Aviation will be a big factor because airlines must offset emissions under CORSIA rules. Energy and technology companies in the US, like AT&T, IBM, and Ingram Micro, are likely to enter or re-enter the market.
Moreover, new entrants will expand the buyer base, per AlliedOffsets analysis. These include consumer goods, professional services, healthcare, and industrial firms. Many come from countries with fewer buyers so far, like Turkey and Belgium.
Financial Impact of Returning and New Buyers
AlliedOffsets estimates that new and returning buyers will spend around $2.27 billion per year. Sector contributions are expected as follows, with aviation and energy leading the pack:
- Aviation: over $800 million per year (about one-third of total).
- Energy and Technology & Telecommunications: substantial ongoing purchases, over $300 million a year.
- Consumer services, industrials, financial services, professional services: smaller but steady spend.

Returning buyers bought nearly 7 million credits in previous years. ExxonMobil accounted for 66% of these purchases through both forward contracts and OTC deals. Other companies, like ArcelorMittal, invest in low-emission technology, reducing the need to buy credits.
New entrants, especially airlines, will increase activity. Credits purchased for CORSIA compliance must match emissions for international flights to and from ICAO member states.
Overall, growth in both returning and new buyers shows that corporate demand for carbon credits is likely to rise sharply. Companies that belong to initiatives like RE100, SBTi, Race to Zero, or NZBA are more likely to participate in the voluntary carbon market.
A Turning Point and Future Forecasts: Supply, Demand, and Policy Drivers
In 2025, the voluntary carbon credit market saw big changes. Total retirements fell to about 168 million tonnes, and new issuances dropped to around 270 million tonnes, the lowest since 2020.
Despite this, spending rose to roughly $1.04 billion, up from $980 million in 2024. The average price per credit also climbed to about $6.10, showing that buyers are paying more for high-quality, trusted credits rather than just buying large amounts.

Companies are now choosing credits with strong monitoring and real climate impact. Nature-based projects, like afforestation and reforestation, did better than older REDD+ credits.
Forward contracts also grew, with over $12 billion signed in 2025, even though these will deliver only about 10 million credits a year through 2035. This shows that many companies want to secure the future supply of trusted credits. These trends match forecasts from AlliedOffsets, where demand is expected to rise for durable, high-quality carbon credits.
AlliedOffsets keeps expanding its database, now covering over 60,000 companies. Adding historical emissions data and checking with initiatives like the Forest Stewardship Council and Science Based Targets will improve forecasts.
Analysts expect supply limits may appear in forestry and land use projects as demand grows. Engineered removals, chemical processes, and industrial projects will also get more attention. Large investments by companies like Google and Amazon, which pledged $100 million to superpollutant removal projects by 2030, are expected to drive this.
Returning and new buyers, led by aviation, energy, and tech, will shape the next wave of demand. Understanding these patterns helps policymakers, intermediaries, and project developers plan supply and engagement strategies.
The voluntary carbon market is entering a new growth phase, driven by rules, climate commitments, and better forecasting tools. With models like Likelihood to Buy, market participants can plan ahead. Forestry, renewable energy, and industrial projects are likely to see the biggest benefits as corporate demand grows worldwide.
- READ MORE: The Carbon Credit Market in 2025 is A Turning Point: What Comes Next for 2026 and Beyond?
The post Who Will Drive the Next Wave of Carbon Credit Demand? Insights from AlliedOffsets appeared first on Carbon Credits.
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