The rapid growth of artificial intelligence (AI) is creating a new challenge for global energy systems. AI data centers now require far more electricity than traditional computing facilities. This surge in demand is putting pressure on power grids and raising concerns about whether climate targets can still be met.
Large AI data centers typically need 100 to 300 megawatts (MW) of continuous power. In contrast, conventional data centers use around 10-50 MW. This makes AI facilities up to 10x more energy-intensive, depending on the scale and workload.
AI Data Centers Are Driving a Sharp Rise in Power Demand
The increase is happening quickly. The International Energy Agency estimates that global data center electricity use reached about 415 terawatt-hours (TWh) in 2024. That number could rise to more than 1,000 TWh by 2026, largely driven by AI applications such as machine learning, cloud computing, and generative models. 
At that level, data centers would consume as much electricity as an entire mid-sized country like Japan.
In the United States, the impact is also growing. Data centers could account for 6% to 8% of total electricity demand by 2030, based on utility projections and grid operator estimates. AI is expected to drive most of that increase as companies continue to scale infrastructure to support new applications.
Training large AI models is especially energy-intensive. Some estimates say an advanced model can use millions of kilowatt-hours (kWh) just for training. For instance, training GPT-3 needs roughly 1.287 million kWh, and Google’s PaLM at about 3.4 million kWh. Analytical estimates suggest training newer models like GPT-4 may require between 50 million and over 100 million kWh.
That is equal to the annual electricity use of hundreds of households. When combined with ongoing usage, known as inference, total energy consumption rises even further.
This rapid growth is creating a gap between electricity demand and available supply. It is also raising questions about how the technology sector can expand while staying aligned with global climate goals.
The Grid Bottleneck: Why Data Centers Are Waiting Years for Power
Power demand from AI is rising faster than grid infrastructure can support. Utilities in key regions are now facing a surge in interconnection requests from technology companies building new data centers.
This has led to delays in several major projects. In many cases, developers must wait years before they can secure enough electricity to operate. These delays are becoming more common in established tech hubs where grid capacity is already stretched.
The main constraints include:
- Limited transmission capacity in high-demand areas,
- Slow grid upgrades and long permitting timelines, and
- Regulatory systems not designed for AI-scale demand.
Grid stability is another concern. AI data centers require constant and uninterrupted power. Even short disruptions can affect performance and reliability. This makes it more difficult for utilities to balance supply and demand, especially during peak periods.
In some regions, utilities are struggling to manage the size and concentration of new loads. A single large data center can use as much electricity as a small city. When several projects are planned in the same area, the pressure on local infrastructure increases significantly.
As a result, some companies are rethinking their expansion strategies. Projects may be delayed, scaled down, or moved to new locations where energy is more accessible. These shifts could slow the pace of AI deployment, at least in the short term.
Renewable Energy Growth Faces a Reality Check
Technology companies have made strong commitments to clean energy. Many aim to power their operations with 100% renewable electricity. This is part of their larger environmental, social, and governance (ESG) goals.
For example, Microsoft plans to become carbon negative by 2030, meaning it will remove more carbon than it emits. Google is targeting 24/7 carbon-free energy by 2030, which goes beyond annual matching to ensure clean power is used at all times. Amazon has committed to reaching net-zero carbon emissions by 2040 under its Climate Pledge.
Despite these targets, AI data centers present a difficult challenge. They need reliable electricity around the clock, while renewable energy sources such as wind and solar are not always available. Output can vary depending on weather conditions and time of day.
To maintain stable operations, many facilities rely on a mix of energy sources. This often includes grid electricity, which may still be partly generated from fossil fuels. In some cases, natural gas backup systems are used more frequently than planned.
Battery storage can help balance supply and demand. However, long-duration storage remains expensive and is not yet widely deployed at the scale needed for large AI facilities. This creates both technical and financial barriers.
Thus, there is a growing gap between corporate clean energy goals and real-world energy use. Closing that gap will require faster deployment of renewable energy, improved storage solutions, and more flexible grid systems.
Carbon Credits Use Surge as Tech Tries to Close the Emissions Gap
The mismatch between AI growth and clean energy supply is also affecting carbon markets. Many technology companies are increasing their use of carbon credits to offset emissions linked to data center operations.
According to the World Bank’s State and Trends of Carbon Pricing 2025, carbon pricing now covers over 28% of global emissions. But carbon prices vary widely—from under $10 per ton in some systems to over $100 per ton in stricter markets. This gap is pushing companies toward voluntary carbon markets.
The Ecosystem Marketplace report shows rising demand for high-quality credits, especially carbon removal rather than avoidance credits. But supply is still limited.
Costs are especially high for engineered removals. The IEA estimates that direct air capture (DAC) costs today range from about $600 to over $1,000 per ton of CO₂. It may fall to $100–$300 per ton in the future, but supply is still very small.
Companies are focusing on credits that:
- Deliver verified emissions reductions,
- Support long-term carbon removal, and
- Align with ESG and net-zero commitments.
At the same time, many firms are taking a more active role in energy development. Instead of relying only on offsets, they are investing directly in renewable energy projects. This includes funding new solar and wind farms, as well as entering long-term power purchase agreements.
These investments help secure a dedicated clean energy supply. They also reduce long-term exposure to carbon markets, which can be volatile and subject to changing standards.
Companies Are Adapting Their Energy Strategies: The New AI Energy Playbook
AI companies are changing how they design and operate data centers to manage rising energy demand. Here are some of the key strategies:
- Energy efficiency improvements (new hardware and cooling systems) that reduce data center power use.
- More efficient AI chips, specialized processors, that drive performance gains.
- Advanced cooling systems that cut energy waste and can help cut total power use per workload by 20% to 40%.
- Data center location strategy is shifting, where facilities are built in regions with stronger renewable energy access.
- Infrastructure is becoming more distributed, where firms deploy smaller data centers across multiple locations to balance demand and improve resilience.
- Long-term renewable energy contracts are expanding, which helps companies secure power at stable prices.
A Turning Point for Energy and Climate Goals
The rise of AI is creating both risks and opportunities for the global energy transition. In the short term, increased electricity demand could lead to higher emissions if fossil fuels are used to fill supply gaps.
At the same time, AI is driving major investment in clean energy and infrastructure. The long-term outcome will depend on how quickly clean energy systems can scale.
If renewable supply, storage, and grid capacity keep pace with AI growth, the technology sector could help accelerate the shift to a low-carbon economy. If progress is too slow, however, AI could become a major new source of emissions.
Either way, AI is now a central force shaping global energy demand, infrastructure investment, and the future of carbon markets.
The post AI Data Centers Power Crisis: Massive Energy Demand Threatens Emissions Targets and Latest Delays Signal Market Shift appeared first on Carbon Credits.
What auditors actually test, where projects actually fail, and the contract clauses that protect you before signature.
The meeting happens about fourteen months after the contract was signed. Your assurance provider has reached the nature-based investment line in your Scope 3 file, and the partner across the table has exactly two questions. How do you know the reductions happened? And how do you know they would not have happened anyway?
The first question is MRV: measurement, reporting, and verification. The second is additionality. Between them, they decide whether your nature-based investment counts, in your inventory, in your disclosure, and in front of your board. Everything else in the project documentation is supporting material for these two answers.
This article walks through what each question actually tests, where projects most commonly fail, what digital MRV has changed (and what it has not), and the contract clauses that protect you. The goal is to give you the diligence framework before you sign, because after the credit issues is the wrong time to discover the answers were weak.
What MRV actually verifies
MRV is the machinery that turns a field intervention into a defensible number. Measurement covers the data: biomass surveys, soil sampling, remote sensing, activity records from participating farms. Reporting covers the translation of that data into claimed reductions under a recognised methodology. Verification covers the independent check: an accredited third party tests the reporting against the methodology and the evidence.
The methodologies live in registries. Verra’s Verified Carbon Standard and the Gold Standard are the two largest for nature-based projects, and each publishes the methodology documents, monitoring requirements, and verification protocols that a project must follow. The ICVCM Assessment Framework now sits above the registries, assessing whole methodologies against the Core Carbon Principles and granting the CCP label to those that pass.
For a buyer, the practical questions are concrete. What is the monitoring frequency, and is it specified in the project design document or left vague? Who is the verifier, how were they selected, and how often do they rotate? What raw data do you, the buyer, get access to, and in what format? A project that answers these in writing is a different procurement than one that answers them in a sales call.
What additionality actually proves
Additionality asks whether the intervention caused the reduction, or whether the reduction would have happened anyway. The test is a counterfactual: what would this landscape, this farm, this forest have done without the project’s money?
Three forms matter in practice. Financial additionality asks whether the project needed the carbon revenue to proceed. Regulatory additionality asks whether the activity was already required by law. Common-practice additionality asks whether the activity is already standard in the region, in which case paying for it buys you nothing the world was not getting for free.
The reason additionality dominates audit conversations is recent history. Research published in 2023, including the Science paper examined at length in our piece on conventional offsets and boardroom credibility, found that a large share of REDD+ credits failed the counterfactual test because baselines were inflated. The market response was a wave of methodology revisions at Verra and the arrival of independent ratings agencies whose entire business is re-testing additionality claims. The Carbon Credit Quality Initiative publishes transparent scoring of methodologies on exactly this dimension, and it is free to consult before you sign anything.
Where projects most commonly fail the test
Five failure modes account for most of the wreckage.
- Inflated baselines. The counterfactual assumes more deforestation, more degradation, or lower yields than the evidence supports. The claimed reduction is the gap between reality and the baseline, so an inflated baseline manufactures reductions from nothing.
- Unaccounted leakage. The project protects one forest and the logging moves to the next valley. The methodology is supposed to net this out; weak projects estimate it optimistically.
- Thin permanence protection. Nature-based carbon can reverse: fire, pest, drought, or a change of landowner. Buffer pools and insurance mechanisms exist for this, but their adequacy varies enormously between projects.
- Attribution and double counting. In supply chain settings, the same reduction can be claimed by the supplier, the buyer, and a credit purchaser unless contracts prevent it. Our Insetting vs Offsetting piece covers the inventory rules; the point here is that the auditor will ask who else is counting this tonne.
- Stale monitoring. Data collected at validation and never refreshed. The IPCC AR6 Working Group III land-sector chapter documents how quickly carbon stocks respond to disturbance; a three-year-old measurement is a historical artifact, not a current claim.
What digital MRV changes, and what it does not
Digital MRV is the genuine improvement in the field. Satellite remote sensing, including the free archives at NASA Earthdata, allows biomass and land-cover change to be monitored continuously rather than at multi-year verification intervals. Soil carbon models calibrated with physical sampling reduce the cost of agricultural measurement. The practical effect is more frequent data at lower cost, which compresses the window in which a problem can hide.
What digital MRV does not change is judgment. Baselines are still human decisions about counterfactuals. Additionality is still an argument, not a measurement. Research groups such as the Oxford Smith School have been clear on this point: better sensors improve the M in MRV, but the integrity questions live in the assumptions, and assumptions need governance, not gadgets.
For a buyer, the test is simple. Ask the provider what is measured by instrument, what is estimated by model, and what is assumed by methodology. A provider who can answer that question crisply understands their own evidence chain. A provider who cannot is selling you their confidence rather than their data.
What to require in your contract
The diligence above converts into five contract clauses.
- Monitoring cadence and buyer data access, specified by dataset and frequency.
- Verifier independence, named accreditation, and rotation terms.
- Baseline revision triggers, so the counterfactual updates when the methodology or the evidence changes.
- Reversal liability and buffer adequacy, with the mechanism named and sized.
- Documentation handover in audit-ready form, so the evidence file your assurance provider needs already exists.
None of these clauses is exotic. All of them are absent from weak contracts, and their absence is the most reliable early signal that the MRV and additionality answers will be weak too.
If you are evaluating a nature-based investment and want the MRV and additionality stress-tested before signature rather than after, the carbon and sustainability experts at Carbon Credit Capital can run that review against any project on your shortlist, and design nature-based supply chain investments where the evidence chain is built audit-first. Schedule a consultation.
Sources and further reading
- ICVCM: Core Carbon Principles Assessment Framework
- Verra: Verified Carbon Standard
- Gold Standard for the Global Goals
- Carbon Credit Quality Initiative: Methodology quality scores
- University of Oxford Smith School: Sustainable finance research
- IPCC AR6 Working Group III, Chapter 7: AFOLU
- NASA Earthdata satellite remote sensing archive
EU Directive: Empowering Consumers for the Green Transition (ECGT)
The EU Directive, Empowering Consumers for the Green Transition (ECGT), takes effect on September 27, 2026.(1) The goal of ECGT is to protect consumers by ensuring that environmental claims are fair, understandable, and reliable. This regulation does create a new compliance requirement for businesses, but it also provides sustainability and marketing teams with important guidance that helps create consistency in sustainability communications.
Key takeaways
- ECGT takes effect September 27, 2026, and prohibits claims that a product or service has a neutral, reduced, or positive environmental impact based on offsetting alone.
- Named example phrases the regulation prohibits include climate neutral, CO2 neutral certified, carbon positive, climate net zero, climate compensated, reduced climate impact, and limited CO2 footprint.
- ECGT does not want to deter investment in carbon credits. It wants companies to communicate the real benefits of the projects they support instead.
- SBTi’s guidance recommends framing carbon credits as taking responsibility for ongoing emissions, not as making a product or company neutral.
- Voluntary carbon projects deliver real climate progress: reducing super-pollutants, protecting and restoring ecosystems, and supporting communities.
Regarding carbon credits specifically, voluntary carbon projects deliver important climate progress and environmental benefits that provide many talking points for companies. They reduce climate super-pollutants by removing industrial emissions like methane, N2O, HFCs and others. They protect and restore valuable ecosystems and carbon sinks like forests, mangroves and grasslands. They help communities by reducing local pollution, creating employment opportunities, improving access to healthcare, and more.
The Science Based Targets Initiative (SBTi), a global leader in business climate action, concludes that alongside aggressive decarbonization, we should also use high quality carbon credits to take responsibility for our ongoing emissions. SBTi recognizes that carbon credits are important “to help limit temperature overshoot, mitigate transition risks, and support climate solutions.”(2)
ECGT language on carbon offsetting says that they do not want to deter investment in carbon credits. They just want companies to focus on communicating the benefits of the projects they support and avoid claims beyond the scope of carbon credits, which is good for everyone, companies and consumers alike.
The regulation reinforces that carbon credits do not change the sustainability of your products, so carbon credit buyers should not suggest that their products are more sustainable because of carbon credits. Instead, companies need to promote their climate contributions as a way to compensate or take responsibility for their carbon emissions by supporting projects that do great things like reducing global carbon emissions, reducing pollution, preventing deforestation, restoring forests, and more.
ECGT language related to carbon offsetting
The regulation is particularly focused on prohibiting claims, based on offsetting greenhouse gas emissions, that a product or service has a neutral, reduced, or positive impact on the environment in terms of greenhouse gas emissions. These claims are prohibited in all circumstances because they mislead consumers into believing the claim relates to the product itself, or to how it was made and supplied, or into thinking that using the product carries no environmental impact at all.
Named examples of prohibited claims include:
- climate neutral
- CO2 neutral certified
- carbon positive
- climate net zero
- climate compensated
- reduced climate impact
- limited CO2 footprint
These claims are only allowed when they rest on a product’s actual lifecycle impact, not on offsetting emissions outside that product’s value chain, since the two are not equivalent. This prohibition does not stop companies from advertising their investments in environmental initiatives, including carbon credit projects, as long as they present that information in a way that is not misleading and that meets the other requirements of Union law.(1)
SBTi also provides guidance on climate contribution language in its Corporate Net Zero Standard Version 2.0 Draft for Second Public Consultation, November 2025. While the SBTi language is fairly technical, it has a good framework for crafting a climate contribution message.
SBTi Language for Carbon Credits(3)
- Take responsibility for ongoing emissions by delivering mitigation impact contributions
- Carbon credits certify the mitigation outcomes of projects that reduce, avoid, or remove carbon emissions
- Activities that reduce emissions from emission sources not located within the company’s value chain
- Activities that conserve, protect, and enhance natural carbon sinks
- Activities that capture and store carbon in storage pools
SBTi’s draft standard also walks through sample claim language for this kind of contribution. In general, the samples move from a simple percentage statement, to naming a specific verified tonnage tied to that percentage, to a fuller statement that breaks the tonnage into reductions versus removals. Across all three, the framing stays consistent: a company took responsibility for a defined share of its ongoing emissions over a set period, by funding a specific, verified amount of mitigation, achieved through emission reductions or removals.(3)
FAQ: ECGT and Carbon Credit Claims
When does the ECGT directive take effect?
The rules apply across the EU from September 27, 2026, after member states transposed the directive into national law by March 27, 2026.
Does ECGT ban carbon offsetting?
No. It bans specific marketing claims that a product or service is environmentally neutral, reduced impact, or positive based on offsetting. Advertising investment in carbon credit projects themselves is still allowed if it is not misleading.
What phrases does ECGT specifically prohibit?
Named examples include climate neutral, CO2 neutral certified, carbon positive, climate net zero, climate compensated, reduced climate impact, and limited CO2 footprint, when those claims are based on offsetting rather than a product’s actual lifecycle impact.
How should a company describe its carbon credit purchases instead?
SBTi’s guidance recommends stating the specific verified tonnage of emissions reductions or removals funded and describing that as taking responsibility for a defined share of ongoing emissions, rather than claiming the company or product is neutral.
Does this rule apply to company level sustainability claims too?
ECGT is focused on claims about specific products and services in consumer marketing. Broader company level sustainability communication is a separate matter still governed by other existing rules.
While ECGT does add a new compliance burden for businesses, it helps create consistency in sustainability messaging that is important to building confidence in voluntary carbon projects and scaling the industry to help us achieve progress on global carbon emissions.
Disclaimer: Terrapass does not provide legal or regulatory advice. Any interpretation of regulation must be approved by your legal representative.
References:
(1) https://eur-lex.europa.eu/eli/dir/2024/825/oj
(2) https://files.sciencebasedtargets.org/production/files/Corporate-Net-Zero-Standard-version-2.pdf
(3) https://files.sciencebasedtargets.org/production/files/CNZS-V2-Second-Consultation-Draft.pdf
The post The EU’s New Green Claims Rules and Carbon Credits appeared first on Terrapass.
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