Amazon is making its boldest move yet into nuclear energy. The tech giant has teamed up with X-energy Reactor Company, Korea Hydro & Nuclear Power Corporation (KHNP), and Doosan Enerbility in a partnership aimed at deploying Xe-100 small modular reactors (SMRs) and TRISO-X fuel across the United States.
The alliance comes at a pivotal moment. Data centers, driven by artificial intelligence (AI), cloud computing, and the digital economy, are pushing energy demand to record highs. Traditional renewables like wind and solar, while critical, can’t always meet the 24/7 power needs of hyperscale computing. Nuclear, with its steady carbon-free output, is emerging as the missing piece.
Aligned with the recent $350 billion U.S.–Korea trade deal, the collaboration spans reactor engineering, supply chain development, construction planning, long-term operations, and global AI-nuclear deployment opportunities. Together, the partners aim to mobilize up to $50 billion in public and private investment to accelerate advanced nuclear adoption in America.
X-energy’s SMRs: Compact Power for a Digital World
X-energy CEO J. Clay Sell, commented on this partnership,
“This partnership brings together proven nuclear leadership and experience from Korean industry and X-energy’s advanced reactor and fuel technology to meet a historic energy challenge. By combining our expertise, we are ensuring that we are best positioned to accelerate the Xe-100 SMR into the marketplace with the unique knowledge and skills developed throughout the South Korea industrial supply chain. Collaboration between the United States and South Korea in this critical sector is vital to preserving American leadership in the AI race and surpassing China as the leader in nuclear development.”
X-energy’s Xe-100, a fourth-generation SMR designed to be modular, cost-effective, and intrinsically safe, is the core of the deal. Unlike traditional reactors, which can take more than a decade to build, the Xe-100’s simplified design shortens construction timelines and reduces upfront capital costs.
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Key advantages of the Xe-100 include:
- Scalability – Modular design allows deployment in stages to match demand growth.
- Enhanced safety – Built with TRISO-X fuel, considered one of the most robust nuclear fuels ever developed.
- Industrial versatility – Can serve high-demand industries like chemicals, steel, and data centers.
By targeting 960 MW of clean energy capacity to the U.S. grid by 2039, X-energy and its partners are aiming for what would be the largest SMR deployment in the industry to date.
Small Modular Nuclear Reactor: Xe-100
Amazon’s Clean Energy Ambitions
For Amazon, nuclear energy is part of a larger strategy to meet its net-zero carbon target by 2040, set through The Climate Pledge, which the company co-founded in 2019. The e-commerce and cloud giant is investing heavily in decarbonizing its global operations through four main levers:
- Driving efficiency – Optimizing transportation routing, improving packaging, and boosting chip efficiency in data centers.
- Deploying low-carbon alternatives – Using lower-carbon concrete and steel, recycled plastics, and greener fuels.
- Investing in carbon-free electricity – Expanding its portfolio of wind, solar, battery storage, and now nuclear projects.
- Scaling sustainable supply chains – Embedding decarbonization across procurement and product development.
By early 2025, Amazon had committed to 621 renewable energy projects worldwide, including 124 new projects in 2024 alone, representing 34 GW of carbon-free capacity. Nuclear will now complement this mix, providing steady baseload power to balance variable renewable output.
Amazon’s Nuclear Playbook
Amazon’s nuclear investments are already taking shape:
- In 2024, the company signed multiple agreements to support new SMR development.
- It partnered with Energy Northwest on a next-gen SMR project.
- It struck a deal to build a data center near Talen Energy’s nuclear plant in Pennsylvania, linking cloud services directly to carbon-free nuclear power.
With the X-energy deal, Amazon is moving beyond one-off projects toward systematic integration of nuclear into its clean energy roadmap.
Furthermore, Vibhu Kaushik, Head of Worldwide Energy, Amazon Web Services (“AWS”), also said,
“Data centers are the critical infrastructure needed to support AI leadership, and their power needs continue to accelerate to meet the growing needs of our customers. “By forming this partnership with KHNP and Doosan along with X-energy, we’re continuing to pursue innovative carbon-free solutions and technology to help meet the increasing energy demand, and we’re excited that this will help us enable over five gigawatts of new nuclear energy in the U.S.”
Why AI Needs Nuclear?
Artificial intelligence is reshaping the global economy—but it comes with an insatiable hunger for electricity. Analysts estimate that data centers could consume up to 10% of global electricity by 2030, with AI workloads contributing a growing share.
Unlike traditional corporate facilities, AI data centers operate around the clock and require constant, reliable power to prevent downtime. While solar and wind are critical for decarbonization, their intermittency means they can’t serve as the sole backbone of data infrastructure. Nuclear energy, by contrast, offers stable, carbon-free power at scale, making it ideal for the digital era.
By linking nuclear deployment directly to AI expansion, Amazon and its partners are signaling a new phase in clean energy investment—where tech and nuclear grow hand in hand.
A Global Supply Chain Push
Doosan Enerbility, a leader in heavy industry, and KHNP, South Korea’s nuclear operator, bring critical expertise in supply chain development and project delivery. Their involvement is central to ensuring the Xe-100 can be built quickly, cost-effectively, and at scale.
This collaboration also reflects shifting geopolitics in energy. By tying nuclear deployment to the U.S.–Korea trade agreement, the partnership reinforces energy security and strengthens transpacific clean energy ties. With supply chain bottlenecks affecting global renewables, nuclear offers an alternative path with deeper industrial integration.
Beyond Amazon: A Model for the Private Sector
Perhaps most importantly, this alliance signals a broader shift in nuclear’s role in the private sector. For decades, nuclear was almost entirely government-led, with utilities as the main operators. Now, tech companies are directly investing in nuclear solutions to meet their own decarbonization needs.
If Amazon’s model succeeds, it could set a precedent for other energy-intensive industries, from semiconductors to steel, to adopt SMRs as part of their decarbonization strategies.
Lastly, deploying SMRs at scale won’t be without challenges. Regulatory approvals, financing structures, and public acceptance all remain hurdles. But with Amazon, X-energy, KHNP, and Doosan pooling expertise and capital, the path looks clearer than ever.
By targeting 960 MW of carbon-free nuclear power by 2039, Amazon and its partners are charting a blueprint for how nuclear can fit into the clean energy transition, balancing the intermittency of renewables while enabling the AI-driven digital economy.
In short, this partnership represents more than a corporate energy deal. It’s a signal that advanced nuclear is stepping out of research labs and into the front lines of the energy transition—and that Big Tech may be the key to scaling it.
The post Amazon, X-energy, KHNP, and Doosan Partner on $50B Nuclear Push for AI Data Centers appeared first on Carbon Credits.
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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