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-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.

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

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.
Carbon Footprint
SBTi Net-Zero Standard V2: What the Revision Means for Every Business
Key takeaways
- SBTi is the default reference point for corporate climate action: 51% of Fortune Global 500 companies now hold net-zero targets, up from 8% in 2020, and over 11,000 organizations worldwide have SBTi-validated targets.
- Net Zero Standard V2 redefines climate leadership as reducing emissions and mitigating ongoing emissions, not reduction alone.
- The new standard adds flexibility through five-year cycles, a “best efforts” standard, and an Asset Transition Method for companies whose path to net-zero doesn’t fit a straight-line trajectory.
- Voluntary carbon credits are formally recognized for the first time, with reduction and removal credits accepted from 2027, and removals required from 2035.
- Companies with 2030 targets keep using V1 for their current cycle and move to V2 in 2028; companies without targets can start using V2 on February 1, 2027.
Why every business needs to understand the SBTi Net-Zero Standard revision
The Science Based Targets initiative (SBTi) has become the default reference point for credible corporate climate action. Net-zero targets are now held by 51% of Fortune Global 500 (FG500) companies, up dramatically from just 8% in 2020, and more than 11,000 organizations worldwide have set SBTi-validated targets.
However, SBTi’s influence extends well beyond the companies formally participating in the program. Every business in the value chain of an SBTi participant will have to reduce its own carbon emissions, and businesses that aren’t SBTi participants themselves still look to the program for guidance on climate action.
In short, SBTi gives every business a credible blueprint for climate action, and companies that follow its principles can pursue climate action with confidence, whether or not they’re formally part of the program.
How will the Net Zero Standard revision affect business climate action?
SBTi participation is expected to grow. Despite strong target-setting participation among the F500, only 17% of companies use the SBTi Net Zero Standard V1 beyond target setting, largely because its rules have been seen as too rigid to apply in practice. Much of the Net Zero Standard revision has focused on creating more flexibility to enable higher participation. Medium and small businesses will also increasingly feel pressure for climate action, since SBTi mandates that its participants reduce carbon emissions across their value chains.
Net Zero Standard V2 also redefines climate leadership: leading climate action now means reducing emissions and mitigating ongoing emissions. Reducing your own emissions while ignoring the emissions you continue to release along the way is no longer considered leadership. Supporting voluntary carbon projects with high-integrity carbon credits is now backed by the leading authority on corporate climate action.
What lessons shaped the Net Zero Standard V2 revision?
The revision reflects a few learnings about what actually drives climate progress, and how SBTi built those lessons into the new standard.
| Net Zero Standard V1 Learnings | Net Zero Standard V2 Implementation |
|---|---|
| Making real short-term progress is more important and more difficult than making big long-term promises | Focus on short-term climate progress |
| Every company has a different path to net zero that doesn’t always fit generalized net-zero rules | Create asset transition plans based on each company’s unique asset lifecycles and capital planning |
| We need to mitigate our ongoing emissions to keep global carbon emissions in check | Reduce global carbon emissions by financing voluntary carbon projects with high-integrity carbon credits |
What are the key changes between the old and new Net Zero Standard?
Both versions of the standard are grounded in net-zero by 2050. However, the old standard treated climate leadership as simply reducing emissions, expected a long-term commitment to net zero, based emission reduction targets on generalized net-zero goals, revoked status from companies that fell behind on targets, and ignored voluntary carbon projects entirely.
The new standard treats climate leadership as reducing emissions and mitigating ongoing emissions. It shifts the focus to short-term progress through five-year cycles, and it bases emission reduction targets on both the net-zero goal and a company’s own asset decarbonization plan. A new Asset Transition Method lets companies set decarbonization targets through asset plans with committed, verifiable steps; an ambitious but achievable path based on a company’s starting point, financial resources, and technology, with multiple pathways to reflect the unique opportunities and constraints of different industries and companies.
Crucially, the new standard moves to a “best efforts” basis that creates real flexibility on progress against targets. Businesses that miss their targets can keep their status if they’ve used “every lever” within their control, and minimum progress rules will be set out in the SBTi Assurance Manual.
Finally, the new standard formally uses voluntary carbon projects to mitigate ongoing emissions. From 2027 through 2034, this mitigation is recognized, and both carbon reduction and removal credits are accepted. From 2035 forward, mitigation with carbon removal credits becomes required, with durability matching between the removal and the emission it offsets.
| Old Net Zero Standard | New Net Zero Standard |
|---|---|
| Grounded in net-zero by 2050 | Grounded in net-zero by 2050 |
| Climate leadership is reducing emissions | Climate leadership is reducing emissions and mitigating ongoing emissions |
| Make a long-term commitment to net-zero | Focus on short-term progress in 5-year cycles |
| Emission reduction targets are based on net-zero goal |
|
| Businesses who fall behind targets lose status |
|
| Ignores voluntary carbon projects |
|
When does the new Net Zero Standard take effect?
Companies with existing 2030 targets should continue using the old Net Zero Standard for their current cycle, and start using the new Net Zero Standard in 2028 to set targets for the next cycle (2030–2035).
Companies that don’t yet have targets can use the new Net Zero Standard starting February 1, 2027.
What are SBTi’s Category A and Category B companies?
The new Net Zero Standard splits companies into two categories, with different requirements attached to each.
Category A covers large companies from all countries and medium-sized companies from high-income countries. A company from any country qualifies if it meets at least one of: net turnover of €450 million or more, or 1,000 or more full-time employees. A company from a high-income country qualifies if its Scope 1 and 2 emissions are 10,000 tCO2e or more, or if it meets at least two of: balance sheet of €25 million or more, net turnover of €50 million or more, or 250 or more full-time employees.
Category B covers small companies from all countries and medium-sized companies from lower-income countries.
How do Scope 1 targets work under Net Zero Standard V2?
Scope 1 targets aim to transition companies to net-zero direct emissions by 2050 or sooner, and companies can choose from three approaches.
- Absolute emissions reduction follows a straight-line emissions trajectory from the target base year to the net-zero year.
- Emissions intensity reduction lets companies follow sector-specific pathways designed to reflect the reduction opportunities available in sectors like steel, cement, or chemicals.
- Asset transition is designed for companies whose capital stock turnover doesn’t follow a linear or sector pathway. These companies design a transition plan to operate existing assets efficiently and replace them with low-carbon assets, using predetermined milestones.
How do Scope 2 targets work under Net Zero Standard V2?
Scope 2 targets address emissions from purchased electricity through three pathways:
- Reducing electricity consumption,
- Reducing grid consumption by installing onsite or direct-line offsite clean energy generation, and
- Cleaning up the regional grid using market-based tools like PPAs, RECs, and GOs that drive clean energy development.
V2 introduces a dual Scope 2 framework requiring two separate targets, with an overall goal of 100% low-carbon electricity by 2040.
The location-based target addresses the carbon intensity of a company’s physical power use, and requires companies to show that their grid consumption is falling and/or that their physical grid use is getting cleaner; in other words, that their market-based solutions are actually making the grid cleaner.
The market-based (or zero-carbon electricity) target tracks a company’s use of low-carbon power generation contracts and Energy Attribute Certificates. It requires geographical matching of these certificates with electricity consumption based on deliverability regions (grid regions); annual matching is allowed, though hourly matching is encouraged. Category A companies with large electricity loads must report the percentage of their Scope 2 electricity consumption matched with low-carbon attributes on an hourly basis, and there’s an optional recognition framework for companies that meet hourly matching thresholds.
How do Scope 3 targets work under Net Zero Standard V2?
Scope 3 targets share the same 2050-or-sooner net-zero goal, but companies set near-term targets only for material emissions sources in their value chain and areas where they have real influence. Long-term Scope 3 targets are generally not required.
Limited, justified exclusions are allowed for near-term targets, including categories that individually account for less than 5% of total Scope 3 emissions, and activities where a company lacks practical influence, like leased assets it doesn’t operationally control, or the processing of sold products. Optional exclusions are also available in specific categories.
Companies can choose from three approaches to near-term Scope 3 targets:
- An overarching emissions reduction target, which follows a linear contraction of emissions from the base year to residual emissions of 10% or less by 2050 or sooner;
- An overarching supplier/customer alignment target, benchmarked against a growing share of tier 1 suppliers and customers reaching net-zero by 2050 or sooner; or
- A category- or activity-specific target, tailored for companies with concentrated emissions in particular Scope 3 categories or high-emitting activities.
What is “ongoing emissions mitigation” under the new SBTi standard?
This is one of the most significant additions in Net Zero Standard V2. Accelerated climate contributions are needed to help the world achieve climate objectives, limit temperature overshoot, mitigate transition risks, and support the scale-up of climate solutions, and V2 formally recognizes that. Ongoing emissions mitigation runs as a parallel track to companies also reducing their own emissions.
The framework is initially voluntary, with recognition available at three contribution levels to encourage early action.
- Engaged companies address more than 1% of total Scope 1, 2, and 3 emissions.
- Advanced companies address more than 10% of total Scope 1, 2, and 3 emissions, including 100% of Scope 1 and 2 emissions.
- Leadership companies address 100% of total Scope 1, 2, and 3 emissions with a contribution budget of $80/tCO2e.
Carbon credits used for this purpose have to meet certain quality standards. They must be ex-post (issued after the mitigation has actually occurred), independently third-party-assured, emissions reductions or removals, measured in tCO2e, that occur within five years prior to the reporting year. They must be sourced from outside the company’s own value chain. Further minimum criteria will be set to align with high-integrity frameworks, with additional details on the recognition program expected in the second half of 2026.
Starting in 2035, carbon removals become mandatory for Category A companies. From that point, the carbon removal coverage requirement rises linearly from 1% of Scope 1–3 emissions to 100% by a company’s net-zero year. Within that, 10% of long-lived GHG emissions must specifically be covered by durable removals, also rising linearly to 100% by the net-zero year.
How must companies neutralize residual emissions?
At a company’s net-zero target year and thereafter, it must reduce its Scope 1, 2, and 3 emissions to zero or to residual levels, and neutralize all residual emissions using eligible carbon removals. Those removals have to meet two conditions: they must occur within the same reporting period as the residual emissions they’re neutralizing, and long-lived GHGs must be neutralized with long-lived removals, matching the durability of the removal to the atmospheric lifetime of the emission being addressed.
What is the SBTi implementation hierarchy?
Net Zero Standard V2 also lays out how companies should prioritize their actions for credible target delivery, in three tiers.
- Direct actions, at the activity level, are actions that reduce emissions at the source within a company’s own operations and value chain; things like efficiency improvements, fuel switching, and engaging suppliers and customers to reduce their emissions.
- Actions within shared systems, or activity pools that reduce the emissions of shared systems like electricity or gas grids. This includes market instruments that convey low-carbon attributes, such as PPAs, RECs, and GOs, all of which must meet minimum integrity criteria that SBTi will elaborate on in future guidance.
- Sector-level actions relate to the same type of activity occurring in a relevant geography or system, in a way that meaningfully reduces the emissions a company is responsible for.
How Terrapass helps businesses meet the new SBTi standard
As the rules around carbon credits become more rigorous, the quality of the credits behind them matters more than ever. Terrapass has expanded our global network of carbon projects: more project types, locations, prices, ICVCM CCPs, and UN SDGs, spanning super-pollutant destruction, nature-based solutions, and durable removals. We offer Green-e® Climate Certification and we only source from third-party-verified projects on ICVCM-Eligible registries.
We also help clients with impact beyond carbon: EACs, RECs, and GOs including Green-e® Certified credits that support leading renewable energy projects; water credits that support water restoration projects; and custom environmental product needs like RNG and SAF. Wherever your organization is on its sustainability journey, we help clients around the world address climate risk, advance their environmental and social goals, and get the most out of their sustainability budgets.
FAQ: SBTi Net-Zero Standard revision
What is the SBTi Net-Zero Standard?
It’s the framework the Science Based Targets initiative publishes for companies that want validated, credible net-zero targets tied to limiting global warming.
What is changing in the SBTi Net Zero Standard V2 revision?
The biggest changes are more flexibility (five-year cycles and a “best efforts” standard), a new Asset Transition Method for companies whose emissions don’t follow a straight-line path, and formal recognition of voluntary carbon credits for mitigating ongoing emissions.
When do companies need to switch to the new SBTi standard?
If your company already has 2030 targets, you keep using V1 for your current cycle and move to V2 in 2028. If you don’t have targets yet, you can start using V2 as of February 1, 2027.
Can companies use carbon credits to meet SBTi targets?
They can. Under V2, high-integrity carbon reduction and removal credits count toward mitigating ongoing emissions from 2027 through 2034. Starting in 2035, only removal credits count, and they need to be durability-matched to the emissions they offset.
What’s the difference between Category A and Category B companies under SBTi?
Category A is large companies everywhere plus medium-sized companies in high-income countries, based on thresholds like revenue, headcount, or emissions. Category B is small companies everywhere and medium-sized companies in lower-income countries.
What happens if a company misses its SBTi target?
Under the old standard, falling behind could cost a company its SBTi status. Under V2’s “best efforts” approach, a company can hold onto its status as long as it’s used every lever within its control, with minimum progress rules coming in the SBTi Assurance Manual.
Sources: This post is based on Terrapass’s internal analysis of the SBTi Corporate Net-Zero Standard V2.0. Facts and figures were checked against SBTi’s official V2.0 announcement, SBTi’s Corporate Net-Zero Standard V2.0 — Chapter 6: Ongoing Emissions Responsibility, Trellis’s coverage of the standard, Trellis’s reporting on Ongoing Emissions Recognition costs, Sylvera’s analysis of what comes next, Anthesis Group’s Fortune 500 net-zero commitments research, and Climate Impact Partners’ seventh annual FG500 analysis, as reported by CarbonUnits.com.
The post SBTi Net-Zero Standard V2: What the Revision Means for Every Business appeared first on Terrapass.
Carbon Footprint
How to improve Scope 3 data accuracy for CSRD
For most businesses, the emissions that matter most sit outside their own walls. Scope 3 emissions, everything generated across your value chain, from the suppliers who make your inputs to the customers who use your products, typically make up the majority of a company’s total carbon footprint. Under the Corporate Sustainability Reporting Directive (CSRD), those value-chain emissions now have to be measured and disclosed with a rigour that spend-based estimates alone struggle to satisfy. This guide sets out how to improve Scope 3 data accuracy for CSRD: the calculation methods open to you, how to move from estimates to verified supplier data, and how to govern that data so it holds up to audit.
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Carbon Footprint
How community stewardship makes carbon credits durable
A carbon credit is a commitment that extends well into the future. The tonne of CO₂ compensated for today from a nature-based carbon project must remain out of the atmosphere for good, which means the forest behind the credit has to remain standing long after the transaction is complete. For any buyer, this raises a defining question: What ensures that the forest endures?
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