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Big Tech’s Clean Energy Rush to Power the AI Era, With Nuclear Boosting Growth

The top four U.S. hyperscalers — Amazon, Google, Meta, and Microsoft — are increasing their clean energy use to balance their power-hungry operations with goals to reduce carbon emissions. Together, these companies have secured over 84 gigawatts (GW) of clean energy across 29 markets worldwide, according to S&P Global Commodity Insights. With the rising demand for cloud services and AI, these companies are also taking steps to ensure their energy comes from clean sources.

A Growing Clean Energy Footprint Across the U.S.

The clean energy capacity contracted by Amazon, Google, Meta, and Microsoft makes up more than 61% of all corporate clean energy in the U.S. technology sector. Over 64% of their clean energy is in the U.S., with much of it located in states that allow companies to buy renewable energy directly from producers.

carbon free energy capacity worldwide by hyperscalers
Source: S&P Global

Here are some key facts about their clean energy footprint in the U.S.:

  • Their clean energy projects cover 34 states (up from 30 last year).
  • More than 1 GW of clean energy is linked to hyperscaler projects in 15 states.
  • 61% of their U.S. clean energy contracts are in deregulated states.

Texas is the leading state, hosting nearly 27% of the U.S. hyperscaler clean energy capacity. The state has:

  • 23 active datacenters and 15 more planned by hyperscalers.
  • 86 GW of clean energy (48% of its total energy mix).

Ohio ranks second, with 4.5 GW (9.7%), and Virginia is third, with 2.8 GW (6%). Although Virginia has a large number of data centers, it doesn’t have as much clean energy as Texas, limiting its ability to expand.

By choosing states like Texas, Ohio, and Virginia, these companies can take advantage of lower energy prices, available land, and renewable energy options. This helps them scale up while meeting their clean energy goals in a cost-effective way.

A Mix of Clean Energy Sources

Solar energy is the biggest part of the clean energy mix for these companies:

  • 63% of their U.S. clean energy capacity is solar.
  • 21% is wind energy.
  • 14.2% is nuclear energy (up from 0% in early 2024)
carbon free energy capacity by hyperscalers by type
Source: S&P Global

The increase in nuclear energy is a major shift, as these companies now use it to provide constant, carbon-free power. Solar and wind energy can’t always produce power when needed, so companies are looking for other ways to ensure they have a steady supply of clean energy.

In addition to traditional nuclear plants, hyperscalers are showing growing interest in small modular reactors (SMRs) as a future power source for data centers. SMRs offer flexible, reliable, and carbon-free energy that can be deployed closer to data hubs, reducing transmission losses and improving energy security.

Companies like Microsoft have already signaled interest in SMRs to meet long-term clean energy needs for their expanding infrastructure.

Key Nuclear Energy Deals Driving Change

In 2024, several major nuclear energy deals were signed, showing that nuclear power is making a comeback as a way to supply data centers with reliable, low-carbon energy.

Some important deals include:

  • Amazon & Talen Energy (March 2024): Amazon bought a data center powered by the Susquehanna Nuclear plant in Pennsylvania for $650 million, securing up to 960 MW of nuclear energy.
  • Microsoft & Constellation Energy (September 2024): Microsoft signed a 20-year agreement to restart a retired nuclear reactor. This deal shows that companies are willing to pay more for nuclear power because it is a reliable energy source.

These deals also include new ways to directly connect data centers to nearby nuclear plants, bypassing the grid and improving energy reliability.

Growing Energy Demand from AI and Cloud Computing

The demand for energy in U.S. hyperscale data centers could grow at a rate of 19% per year through 2029, reaching nearly 260 terawatt-hours (TWh), according to 451 Research. This growth is driven by AI, cloud computing, and digital services, which require more energy. As a result, these companies will need to keep buying more clean energy to meet their needs.

The rapid growth of AI, which requires huge amounts of computing power, is a big reason why energy demand is rising. In fact, AI already makes up 10% of global data center energy use, and this number could grow quickly.

data center electricity demand due AI 2030
Source: IEA

As AI models become more complex, companies will need even more energy to run them, pushing hyperscalers to keep finding new clean energy solutions.

The Big Four’s Race to Net Zero

All four hyperscalers are still dedicated to their bold carbon-free energy goals, with their energy demand rising fast. Their bold targets represent a clear shift in the corporate world toward full sustainability.

  • Amazon aims to power operations with 100% renewable energy by 2025. The company is already ahead of schedule, achieving 86% renewable energy usage globally in 2024.
  • Google has set a target to reach 24/7 carbon-free energy by 2030. The company wants to match every kilowatt-hour of electricity it uses with renewable energy. This will happen in real-time, 24/7.
  • Meta has achieved net-zero emissions for global operations. It targets net-zero emissions across its entire value chain by 2030. This shows its commitment to reducing both direct and indirect emissions.
  • Microsoft plans to be carbon negative by 2030, which means removing more carbon from the atmosphere than it emits.

These ambitious targets have driven innovation in clean energy. Companies are finding new ways to source, store, and use renewable energy efficiently. Hyperscalers often invest in energy storage and grid upgrades, which helps keep their operations running on clean energy.

Why Clean Energy Is the New Digital Backbone

The growth of hyperscalers and their clean energy investments is changing the way U.S. corporate energy markets work. These companies are not only transforming their own operations but are also leading the way for the wider market to adopt renewable and nuclear energy.

The shift from renewable energy being a choice to becoming a necessity is pushing the energy and tech industries to find new, sustainable solutions. As AI and cloud computing continue to grow, so will the need for more energy. This means clean energy will play a bigger role in powering these operations.

The efforts of Amazon, Google, Meta, and Microsoft are paving the way for a future where clean, reliable energy is available to support the growing digital world.

The post Big Tech’s Clean Energy Rush to Power the AI Era, With Nuclear Boosting Growth appeared first on Carbon Credits.

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Carbon Footprint

Insetting vs Offsetting: Which Actually Counts Toward Your Scope 3 Targets

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The accounting differences that decide whether your nature investment shows up in inventory, in BVCM, or nowhere at all.

The question reaches a procurement team about three weeks before the next sustainability committee meeting. Someone has read about insetting. Someone else has just signed off on an offset purchase. The CSO wants to know if the two are interchangeable. The answer is no, and the GHG Protocol Land Sector and Removals Standard is the reason why.

This article walks through what each term means at audit-grade specificity, what the standards actually say about how each gets counted, and how to decide which tool fits which target. The insetting vs offsetting question is one of the most-searched in corporate climate strategy, and one of the most poorly answered. By the end of this piece, you should be able to brief a committee on the difference without notes.

The two definitions, in plain English

Offsetting means buying carbon credits generated outside your value chain and retiring them against your residual emissions. The reduction happens somewhere else, financed by you, and the credit is the receipt.

Insetting means investing in emission reductions or removals inside your own value chain, typically with suppliers, where the reduction is directly linked to the products and services you buy. The reduction happens inside the boundary of your Scope 3 inventory, and the accounting treatment is fundamentally different.

The shorthand from the University of Oxford’s Nature-based Insetting Initiative is useful: insetting is what you do with the supply chain you have; offsetting is what you do with the supply chain you do not have.

What the GHG Protocol Land Sector Standard actually says

The GHG Protocol Land Sector and Removals Standard, finalised in 2024 after a multi-year pilot, sets the rules for how land-based emission reductions and removals enter corporate inventories. The Standard distinguishes between inventory accounting (Scope 1, 2, and 3) and project or intervention accounting (a separate methodology for crediting).

For insetting, the practical implication is that supplier-level interventions, when properly measured and attributed, can reduce your Scope 3 category 1 (purchased goods and services) emissions in your inventory. The reduction is not a credit retired against the inventory; it is a lower inventory number, period.

For offsetting, the credit is retired separately. It can be reported as a contribution toward a net-zero claim under the SBTi Beyond Value Chain Mitigation framework or as part of a VCMI Carbon Integrity claim, but it does not lower the inventory number.

A practical consequence: if your Science Based Target requires a 50% absolute reduction in Scope 3 emissions by 2030, insetting moves you toward the target. Offsetting does not. This single point of difference reshapes the procurement decision.

When insetting counts toward Scope 3 (and when it does not)

Insetting counts toward Scope 3 only when several conditions are met:

  • The intervention must occur with an entity in your value chain.
  • The emissions reduction or removal must be measured against a defensible baseline.
  • The reduction must be attributed to your share of that supplier’s output, not double-counted with other buyers.
  • It must follow the inventory accounting rules in the GHG Protocol Land Sector Standard, not the project accounting rules used to generate credits.

The most common failure mode is double counting. If your supplier sells the same reduction as a credit on the voluntary market and also reports it to you as a Scope 3 reduction, the math breaks. The Standard requires you to address this risk, typically by purchasing and retiring the supplier-issued credit as part of your inventory or by contractual provisions that prevent the supplier from selling the reduction twice.

When insetting does not count toward Scope 3: when the intervention sits with a supplier you do not buy from, when the baseline is not defensible, when the attribution is unclear, or when the documentation does not survive audit. Those cases default to Beyond Value Chain Mitigation, which is still useful but operates on a different ledger.

The procurement and supplier engagement question

Insetting is harder than offsetting. That is the unfashionable truth most buyers eventually confront. Offsetting is a transaction; insetting is a relationship.

To run an insetting program, you need supplier mapping precise enough to know which farms or facilities sit at which Scope 3 boundary. You need an engagement model that gets suppliers to participate, which usually requires multi-year commitments and shared economics. You need an MRV architecture that measures the right things and produces audit-ready documentation. And you need a contractual structure that prevents double counting and protects both sides.

The trade-off you receive in return is significant. Reductions count against your inventory rather than your residual. Supplier relationships deepen, which protects sourcing continuity. Yield and quality improvements often follow regenerative interventions, which reduces your input cost over time. And the regulatory file, under CSRD, CSDDD, EUDR, and the SBTi FLAG Guidance, is materially stronger.

Choosing the right tool for the right target

A practical decision rule. If your target is a science-based Scope 3 reduction and you operate in a FLAG sector or source FLAG commodities, insetting is the structurally correct tool. If your target is a net-zero claim that includes neutralising hard-to-abate residual emissions outside your value chain, BVCM via high-integrity offsets is the structurally correct tool. Most companies with material Scope 3 exposure need both, in different proportions, sequenced over time.

The sequencing matters. Insetting takes longer to stand up but produces a permanent reduction in the inventory. Offsetting can be transacted faster but does not change the inventory and now sits under tighter claim restrictions. Treat them as complementary tools with different jobs, not as substitutes. The Accountability Framework Initiative and the IUCN Global Standard for Nature-based Solutions both provide useful guardrails for the insetting side, with biodiversity, human rights, and benefit-sharing requirements that go beyond carbon math.

If you are mapping a Scope 3 reduction roadmap and need to scope which interventions count toward your inventory versus which sit in Beyond Value Chain Mitigation, the carbon and sustainability experts at Carbon Credit Capital can help you structure a nature-based supply chain investment program that fits your FLAG exposure, your target architecture, and your audit horizon. Schedule a consultation.

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Carbon Footprint

Net zero needs nature: a carbon credit guide

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Net zero is often described as a balancing act: cut what you can, account for the rest, and reach zero on the ledger. That framing is useful, but it leaves something out. It treats every tonne of carbon as interchangeable and every route to zero as equally sound, while the science tells a more specific story.

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Carbon Footprint

Deforestation in Malawi: causes and solutions

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Malawi has lost a striking share of its forests over the past three decades. Woodlands that once covered well over a third of the country now cover less than a quarter, and the pressure on what remains is increasing. Behind those figures sit two practical questions: what is driving the loss, and what reverses it?

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