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AI Energy

AI is a powerful force driving innovation across industries in today’s rapidly evolving technological landscape. However, as AI capabilities expand, so does its appetite for energy. This phenomenon has brought the intersection of AI and energy into sharp focus, particularly in the context of global decarbonization efforts.

The Interplay of AI and Renewable Energy

The rise of AI has spurred an unprecedented demand for computing power, much of which is supplied by data centers. 

These data giants consume vast amounts of electricity, prompting concerns about their environmental impact and contribution to carbon emissions. Some argue that these companies have the resources and the motivation to invest in cleaner energy technologies. They can also advocate for policy changes to support decarbonization efforts. However, others raise concerns about the environmental impact and the need for greater transparency and accountability in their sustainability initiatives.

Amidst the urgency to transition to renewable energy sources, the energy consumed by AI presents a significant challenge to decarbonization efforts.

On one side, the influx of demand from tech giants could provide a financial boost to investments in renewables, potentially accelerating the transition to cleaner energy sources. However, there remains a tangible risk that the energy demands of AI will be met using conventional, fossil fuel-based methods, such as natural gas or coal. This scenario would undermine progress toward decarbonization goals and perpetuate reliance on non-renewable resources.

Thus, navigating this decarbonization dilemma requires balancing the transformative potential of AI and mitigating its environmental impact. 

  • It calls for strategic investments in renewable energy infrastructure with AI technology innovation to optimize energy efficiency. 
  • Collaborative efforts between tech companies, energy providers, policymakers, and environmental advocates are essential to charting a sustainable path forward.

A Bloomberg analysis reported, that traditional energy corporations like PPL Corp., Alliant Energy Corp., WEC Energy Group Inc., Entergy Corp., Duke Energy Corp., NextEra Energy Inc., DTE Energy Co., CenterPoint Energy Inc., and Vistra Corp., are also deeply involved in navigating the challenges and opportunities presented by AI and data centers.

These companies face pressure to optimize their operations for efficiency, reliability, and sustainability. AI technologies offer opportunities to enhance grid management, predict demand more accurately, optimize energy distribution, and improve maintenance scheduling. Moreover, these corporations will likely explore AI-driven solutions to meet regulatory requirements and customer demands for cleaner energy sources.

As AI becomes increasingly integral to various industries, including energy, investors will evaluate companies based on their AI capabilities and ability to adapt to technological advancements.

The automation era in the energy sector

This futuristic vision is swiftly materializing – the AI in energy and power market is forecasted to surge at a CAGR of 24.68%, from a value of US$3.103 billion in 2021 to US$14.527 billion by 2028.

AI energy

AI-Growth Drivers Transforming the Energy Companies

From predictive maintenance to demand forecast, AI-powered solutions are revolutionizing traditional practices and reshaping the industry.

1. Predictive Maintenance: Preventing Downtime, Maximizing Efficiency

By analyzing vast amounts of data from sensors and equipment, AI algorithms can detect anomalies and predict potential failures before they occur. This approach not only minimizes downtime but also maximizes the lifespan of critical assets. It further leads to substantial cost savings for energy companies.

2. Optimized Asset Management: Maximizing Returns on Investments

AI-driven asset management solutions enable energy companies to optimize the performance of their infrastructure. Through real-time monitoring and analysis, AI algorithms can identify opportunities for efficiency improvements and asset optimization. AI empowers companies to make data-driven decisions that enhance profitability and sustainability.

3. Dynamic Demand Forecasting: Balancing Supply and Demand

Accurate demand forecasting is essential for energy companies to manage supply and avoid costly overproduction or shortages. AI-powered demand forecasting models leverage historical data, weather patterns, market trends, and other variables to predict future demand with precision. By optimizing resource allocation and scheduling, energy companies can minimize waste and maximize revenue, ultimately improving cost efficiency.

4. Enhanced Customer Engagement: Personalized Services and Solutions

AI technologies also enable energy companies to enhance customer engagement by offering personalized services and solutions. Data analytics and machine learning empower companies to customize offerings based on individual customer preferences and behavior.

AI energy

source: Data Dynamics

Moving on, we can see the top energy giants using AI in their operations  

Top Energy Giants using AI in their Operations  

These energy companies exemplify the strategic adoption of AI to enhance their operational capabilities, driving efficiency gains and ultimately contributing to their bottom line.

Exxon Mobil

Exxon Mobil integrates AI to enhance operational efficiency and reliability across its operations. It collaborates with IBM to use quantum computing in advancing AI-driven simulations. Additionally, they use AI for critical calculations to optimize CCS methods. 

  • Enhances its operational efficiency, minimizes downtime, and reduces maintenance costs with AI-driven predictive maintenance and process optimization. 
  • The AI-powered analytics enable the company to optimize supply chain management.
  • Subsequently, it ensures timely delivery of products to customers while minimizing transportation costs and environmental impact.

ABB

The Swiss technology leader in electrification and automation is a pioneer in AI usage. The company

  • Utilizes AI to identify faults like pipeline and machinery cracks through image analysis. 
  • Manages distributed energy resources for reliable green power.
  • Employs AI to analyze seismic data for optimizing oil extraction.

Schneider Electric

It uses Microsoft’s machine learning to remotely monitor and configure pumps in oil and gas fields. AI can detect pump failures, prevent weeks of downtime, and repair costs of up to $1 million.

BP

The London-based gas and oil giant leverages AI to enhance decision-making processes, optimize resource allocation, and improve safety standards. AI boosts the oil extraction and recovery process with high-end sensors. It further lowers the cost/ barrel, reduces risk, and ensures compliance. 

Notably, BP is one of Amazon’s most trusted cloud computing clients.  It has used its technology to enhance the performance of its lubricants ERP system with 40% faster response times.

Royal Dutch Shell

Shell implements AI technologies to streamline operations, drive innovation, and enhance overall performance. It utilizes Microsoft’s cloud-centric platform, Azure. By leveraging AI technologies, Shell aims to boost revenue, cut costs, and enhance operational safety, such as monitoring data from drill sensors deep underground.

Gretchen Watkins, President of Shell Oil Company, revealed at the CERAWeek energy conference that,

Shell employs AI algorithms for drilling in wells in the Permian Basin. These algorithms, driven by machine learning, facilitate safe, reliable, and cost-effective operations.

The Top 10 AI-powered solutions in the Energy and Power Sector and their Stocks to Watch Out

AI

The U.S. Department of Energy established the Artificial Intelligence and Technology Office (AITO) to elevate it into a global leader in AI

AITO is responsible for reliable AI governance and capabilities in energy infrastructure, advising on trustworthy AI/ML strategies. It fosters partnerships, policies, and innovations in AI and energy across public, private, and international sectors. AITO further supports Department of Energy program offices to implement AI/ML strategies. 

Overall, the relationship between AI, energy, and decarbonization efforts is complex and multifaceted, and addressing the challenges it presents will require collaboration across industries and disciplines.

The post Wired for Change: AI, Energy, and the Decarbonization Dilemma appeared first on Carbon Credits.

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Finding Nature Based Solutions in Your Supply Chain

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“…Protecting nature makes our business more resilient…”

For companies with land, water, food, fiber, or commodity exposure, the supply chain may be the most practical place to turn nature from a risk into an operating asset.

Your supply chain already has a nature strategy. It may be undocumented. It may live in procurement files, supplier contracts, commodity maps, and one spreadsheet nobody opens without coffee. But it exists.

If your business depends on farms, forests, water, soil, packaging, rubber, timber, fibers, minerals, or food ingredients, nature is part of your operating system. The question is whether you manage that system with intent, or discover it during a disruption, audit, or difficult board question.

That is why more companies are asking how to find Nature-Based Solutions in Your Supply Chain. Do not begin by shopping for offsets. Begin by asking where nature already affects cost, continuity, emissions, regulatory exposure, and supplier resilience.

What Nature-Based Solutions in Your Supply Chain Means

The European Commission defines nature-based solutions as approaches inspired and supported by nature that are cost-effective, deliver environmental, social, and economic benefits, and help build resilience. They should also benefit biodiversity and support ecosystem services.

In supply-chain terms, that becomes practical. Nature-based solutions in your supply chain can include agroforestry in cocoa, coffee, rubber, or palm supply chains. They can include soil health programs for food ingredients, watershed restoration near water-intensive operations, mangrove restoration linked to coastal sourcing regions, and avoided deforestation in forest-linked commodities.

The key test is business relevance. If your procurement team relies on a landscape, watershed, crop, or supplier base, that is where opportunity may sit. The best projects do not hover outside the business like a framed certificate. They plug into the system that already produces your revenue.

Why the Boardroom Should Care

For many companies, the largest climate and nature exposure sits outside direct operations. The GHG Protocol Scope 3 Standard gives companies a method to account for and report value-chain emissions across sectors. Purchased goods, land use, transport, supplier energy, and product use can make direct emissions look like the visible tip of a very large iceberg.

The Taskforce on Nature-related Financial Disclosures notes that many nature-related dependencies, impacts, risks, and opportunities arise upstream and downstream. That is why nature-based supply chain investments matter to boards. You are managing supply security, audit readiness, investor confidence, and regulatory preparedness.

For companies exposed to EU markets, this also connects to rules and expectations such as CSRD, CSDDD, EUDR, and SBTi FLAG.

Step One: Map Where You Touch Land, Water, and Living Systems

Finding Nature-Based Solutions in Your Supply Chain starts with mapping, not marketing.

Begin with procurement and Scope 3 data. Which categories carry high spend, high emissions, or high sourcing risk? Which suppliers depend on agriculture, forestry, mining, water-intensive processing, or land conversion? Which regions face water stress, heat, flood risk, soil degradation, deforestation, or biodiversity pressure?

The Science Based Targets Network uses a clear process for companies: assess, prioritize, set targets, act, and track. That sequence keeps companies from treating nature as a mood board. You identify where the business has exposure, then decide where intervention can create measurable value.

Step Two: Look for Operational Value Before Carbon Value

This is the center of CCC’s Dual-Value Model. A nature-based supply chain investment should do useful work for the business before anyone counts the carbon.

Agroforestry may improve farmer resilience, shade crops, protect soil, and reduce pressure on forests. Watershed restoration may reduce water risk for beverage, textile, or manufacturing sites. Soil health programs may improve the stability of agricultural inputs.

Carbon and sustainability value can still be created. In some cases, the project may support Scope 3 insetting. In others, it may generate verified carbon credits. Sometimes the main value may be resilience, readiness, and better supplier data.

The IPCC has found that ecosystem-based adaptation can reduce climate risks to people, biodiversity, and ecosystem services, with multiple co-benefits, while also warning that effectiveness declines as warming increases. That is a sober argument for acting early.

Step Three: Separate Insetting, Offsetting, and Resilience

Nature-based solutions in your supply chain are not automatically carbon credits. They are not automatically Scope 3 reductions either.

An insetting opportunity usually sits inside or close to your value chain. It may support Scope 3 reporting if the accounting rules, project boundaries, supplier connection, and data quality are strong enough.

An offsetting opportunity usually involves verified credits outside your value chain. High-quality credits can still play a role for residual emissions, but they should not distract from direct reductions or credible value-chain work.

A resilience opportunity may deliver business value even if you cannot claim a Scope 3 reduction immediately. That may include water security, supplier capacity, land restoration, biodiversity protection, or regulatory readiness.

Gold Standard’s Scope 3 value-chain guidance focuses on reporting emissions reductions from interventions in purchased goods and services. Verra’s Scope 3 Standard Program is being developed to certify value-chain interventions and issue units for companies’ emissions accounting. The direction is clear: stronger evidence, tighter boundaries, and more disciplined claims.

Step Four: Design for Audit-Readiness From the Beginning

Weak data is where promising nature projects go to become expensive anecdotes.

Before public claims are made, you need to know the baseline. What would have happened without the project? Who owns or manages the land? Which suppliers are involved? How will outcomes be measured? How will leakage, permanence, and double counting be addressed?

The GHG Protocol Land Sector and Removals Standard gives companies methods to quantify, report, and track land emissions, CO2 removals, and related metrics. This matters because land projects are rarely neat. Farms change practices. Suppliers shift volumes. Weather changes outcomes.

What Recent Corporate Examples Show

Recent case studies show that supply-chain nature work is becoming more serious, and more scrutinized.

Reuters has reported on insetting to reduce emissions within supply chains, including examples linked to Reckitt, Danone, Nestlé, Earthworm Foundation, and Nature-based Insights. The same article highlights familiar problems: measurement, double counting, supplier incentives, and credibility.

Reuters has also reported on companies using the Science Based Targets Network process to examine nature impacts. GSK, Holcim, and Kering were among the first companies with validated science-based targets for nature.

The Financial Times has covered the promise and difficulty of soil carbon in corporate supply chains, including a PepsiCo example in India where yields reportedly increased while greenhouse gas emissions fell. The lesson is that carbon, soil, biodiversity, farmer economics, and measurement need to be handled together.

A Practical Screening Checklist

A supply-chain nature-based solution deserves deeper review when you can answer yes to most of these questions:

  • Does it sit in or near a material supply-chain hotspot?
  • Does it address a real business risk?
  • Can you connect it to supplier behavior, land management, or sourcing practices?
  • Can the outcomes be measured?
  • Are the claim boundaries clear?
  • Does it support Scope 3 strategy, SBTi FLAG, CSRD, CSDDD, EUDR, or investor reporting needs?
  • Are permanence, leakage, land rights, and community issues addressed?

Build the Asset, Then Make the Claim

Finding Nature-Based Solutions in Your Supply Chain is about identifying where your business already depends on living systems, then designing interventions that make those systems more resilient, measurable, and commercially useful.

For companies with material Scope 3 exposure, the right project can support supplier resilience, emissions strategy, regulatory readiness, and credible climate communication. The wrong project can become a glossy story with a weak audit trail.

Carbon Credit Capital helps companies design nature-based carbon and sustainability assets that embed directly into corporate supply chains. Through CCC’s Dual-Value Model, you can assess where sustainability investment may support operational resilience, Scope 3 insetting eligibility, regulatory readiness, and high-quality carbon or sustainability value.

Schedule your consultation with the carbon and sustainability experts at Carbon Credit Capital to explore how nature-based supply chain investments can support your next stage of climate strategy.

Sources

  1. European Commission: Nature-based solutions
  2. GHG Protocol: Corporate Value Chain Scope 3 Standard
  3. TNFD: Guidance on value chains
  4. European Commission: Corporate Sustainability Reporting
  5. European Commission: Corporate Sustainability Due Diligence
  6. European Commission: Regulation on Deforestation-free Products
  7. SBTi: Forest, Land and Agriculture FLAG
  8. Science Based Targets Network: Take Action
  9. IPCC AR6 WGII Summary for Policymakers
  10. Gold Standard: Scope 3 Value Chain Interventions Guidance
  11. Verra: Scope 3 Standard Program
  12. GHG Protocol: Land Sector and Removals Standard
  13. Reuters: Can insetting stack the cards towards more sustainable supply chains?
  14. Reuters: Three companies put their impacts on nature under a microscope
  15. Financial Times: The dubious climate gains of turning soil into a carbon sink

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How Climate Change Is Raising the Cost of Living

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Americans are paying more for insurance, electricity, taxes, and home repairs every year. What many people may not realize is that climate change is already one of the drivers behind those rising costs.

For many households, climate change is no longer just an environmental issue. It is becoming a cost-of-living issue. While climate impacts like melting glaciers and shrinking polar ice can feel distant from everyday life, the financial effects are already showing up in monthly budgets across the country.

Today, a larger share of household income is consumed by fixed costs such as housing, insurance, utilities, and healthcare. (3) Climate change and climate inaction are adding pressure to many of those expenses through higher disaster recovery costs, rising energy demand, infrastructure repairs, and increased insurance risk.

The goal of this article is to help connect climate change to the everyday financial realities people already experience. Regardless of where someone stands on climate policy, it is important to recognize that climate change is already increasing costs for households, businesses, and taxpayers across the United States.

More conservative estimates indicate that the average household has experienced an increase of about $400 per year from observed climate change, while less conservative estimates suggest an increase of $900.(1) Those in more disaster-prone regions of the country face disproportionate costs, with some households experiencing climate-related costs averaging $1,300 per year.(1) Another study found that climate adaptation costs driven by climate change have already consumed over 3% of personal income in the U.S. since 2015.(9) By the end of the century, housing units could spend an additional $5,600 on adaptation costs.(1)

Whether we realize it or not, Americans are already paying for climate change through higher insurance premiums, energy costs, taxes, and infrastructure repairs. These growing expenses are often referred to as climate adaptation costs.

Without meaningful climate action, these costs are expected to continue rising. Choosing not to invest in climate action is also choosing to spend more on climate adaptation.

Here are a few ways climate change is already increasing the cost of living:

  • Higher insurance costs from more frequent and severe storms
  • Higher energy use during longer and hotter summers
  • Higher electricity rates tied to storm recovery and grid upgrades
  • Higher government spending and taxpayer-funded disaster recovery costs

The real debate is not whether climate change costs money. Americans are already paying for it. The question is where we want those costs to go. Should we invest more in climate action to help reduce future climate adaptation costs, or continue paying growing recovery and adaptation expenses in everyday life?

How Climate Change Is Increasing Insurance Costs

There is one industry that closely tracks the financial impact of natural disasters: insurance. Insurance companies are focused on assessing risk, estimating damages, and collecting enough revenue to cover losses and remain financially stable.

Comparing the 20-year periods 1980–1999 and 2000–2019, climate-related disasters increased 83% globally from 3,656 events to 6,681 events. The average time between billion-dollar disasters dropped from 82 days during the 1980s to 16 days during the last 10 years, and in 2025 the average time between disasters fell to just 10 days. (6)

According to the reinsurance firm Munich Re, total economic losses from natural disasters in 2024 exceeded $320 billion globally, nearly 40% higher than the decade-long annual average. Average annual inflation-adjusted costs more than quadrupled from $22.6 billion per year in the 1980s to $102 billion per year in the 2010s. Costs increased further to an average of $153.2 billion annually during 2020–2024, representing another 50% increase over the 2010s. (6)

In the United States, billion-dollar weather and climate disasters have also increased significantly. The average number of billion-dollar disasters per year has grown from roughly three annually during the 1980s to 19 annually over the last decade. In 2023 and 2024, the U.S. recorded 28 and 27 billion-dollar disasters respectively, both setting new records. (6)

The growing impact of climate change is one reason insurance costs continue to rise. “There are two things that drive insurance loss costs, which is the frequency of events and how much they cost,” said Robert Passmore, assistant vice president of personal lines at the Property Casualty Insurers Association of America. “So, as these events become more frequent, that’s definitely going to have an impact.” (8)

After adjusting for inflation, insurance costs have steadily increased over time. From 2000 to 2020, insurance costs consistently grew faster than the Consumer Price Index due to rising rebuilding costs and weather-related losses.(3) Between 2020 and 2023 alone, the average home insurance premium increased from $75 to $360 due to climate change impacts, with disaster-prone regions experiencing especially steep increases.(1) Since 2015, homeowners in some regions affected by more extreme weather have seen home insurance costs increased by nearly 57%.(1) Some insurers have also limited or stopped offering coverage in high-risk areas.(7)

For many families, rising insurance costs are no longer occasional financial burdens. They are becoming recurring monthly expenses tied directly to growing climate risk.

How Rising Temperatures Increase Household Energy Costs

A light bulb, a pen, a calculator and some copper euro cent coins lie on top of an electricity bill

The financial impacts of climate change extend beyond insurance. Rising temperatures are also changing how much energy Americans use and how utilities plan for future electricity demand.

Between 1950 and 2010, per capita electricity use increased 10-fold, though usage has flattened or slightly declined since 2012 due to more efficient appliances and LED lighting. (3) A significant share of increased energy demand comes from cooling needs associated with higher temperatures.

Over the last 20 years, the United States has experienced increasing Cooling Degree Days (CDD) and decreasing Heating Degree Days (HDD). Nearly all counties have become warmer over the past three decades, with some areas experiencing several hundred additional cooling degree days, equivalent to roughly one additional degree of warmth on most days. (1) This trend reflects a warming climate where air conditioning demand is increasing while heating demand generally declines. (4)

As temperatures continue rising, households are expected to spend more on cooling than they save on heating. The U.S. Energy Information Administration (EIA) projects that by 2050, national Heating Degree Days will be 11% lower while Cooling Degree Days will be 28% higher than 2021 levels. Cooling demand is projected to rise 2.5 times faster than heating demand declines. (5)

These projections come from energy and infrastructure experts planning for future electricity demand and grid capacity needs. Utilities and grid operators are already preparing for higher peak summer electricity loads caused by rising temperatures. (5)

Longer and hotter summers also affect how homes and buildings are designed. Buildings constructed for past climate conditions may require upgrades such as larger air conditioning systems, stronger insulation, and improved ventilation to remain comfortable and energy efficient in the future. (10)

For many households, this means higher monthly utility bills and potentially higher long-term home improvement costs as temperatures continue to rise.

How Climate Change Affects Electricity Rates

On an inflation-adjusted basis, average U.S. residential electricity rates are slightly lower today than they were 50 years ago. (2) However, climate-related damage to utility infrastructure is creating new upward pressure on electricity costs.

Electric utilities rely heavily on above-ground poles, wires, transformers, and substations that can be damaged by hurricanes, storms, floods, and wildfires. Repairing and upgrading this infrastructure often requires substantial investment.

As a result, utilities are increasing electricity rates in response to wildfire and hurricane events to fund infrastructure repairs and future mitigation efforts. (1) The average cumulative increase in per-household electricity expenditures due to climate-related price changes is approximately $30. (1)

While this increase may appear modest today, utility costs are expected to rise further as climate-related infrastructure damage becomes more frequent and severe.

How Climate Disasters Increase Government Spending and Taxes

Extreme weather events also damage public infrastructure, including roads, schools, bridges, airports, water systems, and emergency services infrastructure. Recovery and rebuilding costs are often funded through taxpayer dollars at the federal, state, and local levels.

The average annual government cost tied to climate-related disaster recovery is estimated at nearly $142 per household. (1) States that frequently experience hurricanes, wildfires, tornadoes, or flooding can face even higher public recovery costs.

These expenses affect taxpayers whether they personally experience a disaster or not. Climate-related recovery spending can increase pressure on public budgets, emergency management systems, and infrastructure funding nationwide.

Reducing Climate Costs Through Climate Action

While this article focuses on the growing financial costs associated with climate change, the issue is not only about money for many people. It is also about recognizing our environmental impact and taking responsibility for reducing it in order to help preserve a healthy planet for future generations.

While individuals alone cannot solve climate change, collective action can help reduce future climate adaptation costs over time.

For those interested in taking action, there are three important steps:

  1. Estimate your carbon footprint to better understand the emissions connected to your lifestyle and activities.
  2. Create a plan to gradually reduce emissions through energy efficiency, cleaner technologies, and more sustainable choices.
  3. Address remaining emissions by supporting verified carbon reduction projects through carbon credits.

Carbon credits are one of the most cost-effective tools available for climate action because they help fund projects that generate verified emission reductions at scale. Supporting global emission reduction efforts can help reduce the long-term impacts and costs associated with climate change.

Visit Terrapass to learn more about carbon footprints, carbon credits, and climate action solutions.

The post How Climate Change Is Raising the Cost of Living appeared first on Terrapass.

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Carbon credit project stewardship: what happens after credit issuance

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A carbon credit purchase is not a transaction that closes at issuance. The credit may be retired, the certificate filed, and the reporting box ticked. But on the ground, in the forest, in the field, and in the community, the work continues. It endures for years. In many cases, for decades.

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