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After $102B Quarter and Record Stock, Google Turns to Nuclear to Power the AI Boom

Google and NextEra Energy are joining forces to bring back the Duane Arnold Energy Center in Iowa. The electricity from this plant will power Google’s growing AI systems and data centers, helping the company reach its clean energy goals.

The partnership comes as Alphabet Inc., Google’s parent company, reported strong third-quarter earnings and a rise in stock value following better-than-expected results. Alphabet’s revenue grew, driven by gains in cloud services and AI investments. The company raised its capital spending forecast to over $90 billion for 2025. This shows its commitment to expanding clean, reliable energy for its growing data network.

The project gives the U.S. nuclear industry a fresh boost at a time when demand for reliable, low-carbon electricity is rising sharply. As data and AI grow, companies are racing to get enough clean energy. They need it to power their technology all day and night.

Google’s Nuclear Comeback: Powering AI the Clean Way

The Duane Arnold Energy Center is located near Cedar Rapids, Iowa. It stopped operating in 2020 after more than 45 years of service. Now, NextEra Energy, one of the largest renewable energy companies in the U.S., plans to restart the plant by 2029.

Once operational, the reactor will generate about 615 megawatts (MW) of power, enough to supply hundreds of thousands of homes. Under a 25-year agreement, Google will purchase most of the plant’s output to run its expanding network of cloud and AI data centers.

The restart could create hundreds of construction jobs and dozens of permanent roles when the plant reopens. Local suppliers, engineering firms, and service companies will also benefit. State officials expect the project to increase tax revenue and economic activity across eastern Iowa.

Just after this deal, Alphabet reported its 3rd Quarter financial results.

Alphabet’s Q3 Earnings Fuel the Next Energy Push

Alphabet announced its third-quarter 2025 earnings. Total revenue reached $102.3 billion. This marks a 16% rise compared to last year. Net income rose to $27.6 billion, driven by strong ad sales, continued growth in Google Cloud, and higher demand for AI-powered services.

Google Cloud generated $15.16 billion in quarterly revenue, up 26% year over year. Its core Search and “Other” businesses brought in $56.57 billion, while YouTube ads contributed another $8.8 billion.

Alphabet increased its annual capital spending forecast to $91–93 billion. This change reflects investments in data centers, AI infrastructure, and clean energy projects, including the Duane Arnold restart.

The results highlight how Google’s financial strength supports its climate commitments. The company is investing heavily in clean power, energy storage, and long-term sustainability as AI models and data operations grow.

Following the release, Google’s stock broke a record with the price surging to its highest level.

Google stock price

AI’s Growing Appetite for Electricity

Artificial intelligence and large-scale data centers are transforming the energy landscape. Training advanced AI models and handling billions of searches requires a lot of computing power. So, they also need constant electricity.

data centers nuclear
Source: BloomEnergy

In 2024, data centers worldwide consumed about 415 terawatt-hours (TWh) of electricity, or roughly 1.5% of global demand. The International Energy Agency (IEA) projects that number could rise to 945 TWh by 2030, more than doubling in just six years.

data center electricity use 2035

A report from Goldman Sachs suggests that total data center power demand could increase 160% by 2030 compared with 2023 levels. In the U.S. alone, data centers could account for 8% of national electricity use by the end of the decade.

That surge makes always-on, low-carbon energy essential. Unlike solar and wind, nuclear power provides a steady output regardless of the weather. For Google and other AI companies, stability is vital. It helps them keep their networks online 24/7 and cut emissions.

Google data center energy use

Why Tech Giants Are Turning to Nuclear Power

Tech giants are now among the most active investors in advanced nuclear energy. Companies such as Google, Microsoft, and Amazon are pursuing nuclear deals to meet both AI expansion and climate goals.

Their reasons are straightforward:

  • Reliability: Nuclear reactors generate power 24/7, supporting constant digital workloads.
  • Low-carbon: They produce almost no greenhouse gas emissions.
  • Cost stability: Uranium fuel costs are predictable over long timeframes.
  • Grid support: Nuclear power balances variable renewables like solar and wind.

For Google, using nuclear power aligns with its plan to run all operations on clean energy every hour of every day by 2030. NextEra and other utilities can reach new markets. They supply low-carbon electricity directly to data centers and tech campuses.

Engineering a Second Life for Duane Arnold

Restarting a nuclear plant is not easy. The U.S. Nuclear Regulatory Commission (NRC) must approve the restart first. They will review safety systems and environmental impact.

NextEra must rebuild cooling towers, replace old parts, and update digital controls before operations can start again. The company will also train a new workforce to operate the plant under updated safety rules.

Experts estimate that reviving an older reactor can be 30–40% cheaper than building a new one. Even so, the project includes billions in upgrades. It also faces complex licensing and global supply-chain challenges.

Still, the economic payoff could be significant. Restarting Duane Arnold boosts local energy reliability and supports federal clean power goals. It shows how old infrastructure can meet today’s climate needs.

Google’s Carbon-Free Energy Goal

Google has matched 100% of its annual electricity use with renewable power purchases since 2017. But its next milestone is far tougher—running entirely on carbon-free energy at all times by 2030.

The company already sources solar, wind, and geothermal power across multiple continents. Yet, because these sources are intermittent, nuclear can play an important balancing role.

The Duane Arnold partnership ensures a steady supply when the grid fluctuates. Google is exploring small modular reactors (SMRs), geothermal wells, and long-duration energy storage. These are key parts of its clean power strategy.

Google wants to diversify its clean energy sources. This will help its AI infrastructure stay strong against climate change and keep costs stable. The chart below shows 6how t6he tech giant’s clean energy avoided emissions.

Google clean energy emission reductions

Powering the Digital Future

The Google–NextEra deal marks a new chapter in how technology companies think about power. For Google, it guarantees access to reliable, low-carbon electricity for decades. NextEra builds a profitable model. It supplies the data economy and extends the lifespan of nuclear infrastructure.

If successful, the project could serve as a blueprint for reviving other shuttered U.S. reactors. It demonstrates how legacy assets can be modernized to meet today’s energy and AI needs without adding new carbon emissions.

More broadly, it highlights a turning point in the clean energy transition. As AI use grows worldwide, the demand for “firm clean power” increases too. This includes reliable sources like nuclear, hydro, and geothermal energy. Federal tax incentives from the Inflation Reduction Act make projects more appealing to private investors.

Rebuilding and restarting the Duane Arnold Energy Center will take several years of engineering work, testing, and regulatory review. If the process stays on schedule, the plant could be back online by 2029.

For Google, this partnership is more than an energy deal. It also reflects how the company is linking its financial strength to its climate and AI goals. After posting strong third-quarter earnings and a solid rise in revenue, the company has shown that its investments in AI and cloud services are not only profitable but also shaping its long-term sustainability plans.

The Duane Arnold project fits into that vision by ensuring that Google’s expanding data operations are powered by clean, reliable energy. This collaboration shows that the future of AI depends as much on clean, continuous power as it does on computing power. Nuclear energy, once seen as outdated, is now becoming one of the key engines driving the digital and energy economy forward.

The post After $102B Quarter and Record Stock, Google Turns to Nuclear to Power the AI Boom appeared first on Carbon Credits.

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Designing an Insetting Program: A Step-by-Step Playbook for Procurement

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Insetting program design starts with your supplier map. The carbon claim comes much later.

Consider a coffee procurement team that funds a farm intervention before checking its sourcing data. The supplier aggregates coffee lots from several regions. The buyer lacks farm-level traceability. Another purchaser expects to report the same outcome. A more attractive project brochure solves none of these problems.

If the distinction between a value-chain intervention and a purchased credit is still open, read CCC’s Insetting vs Offsetting guide before you set the brief.

Insetting program design begins with the purchasing relationship and works outward. You need to decide 1) where an intervention belongs, 2) what business problem it addresses, 3) who pays for it, 4) how results will be measured, and 5) what the evidence will let you say about them. This five-step playbook turns that sequence into a procurement plan.

Step 1: Insetting program design starts with supplier mapping

Start with the commodities that matter most to your Scope 3 inventory and sourcing continuity. Ask finance for spend by supplier, sustainability for the emissions baseline, and category managers for origin and volume records. Then identify which suppliers can trace material to a jurisdiction, sourcing region, producer group, or individual land-management unit.

The level of traceability affects what you can account for. Under the GHG Protocol Land Sector and Removals Standard, the spatial boundary for purchased land-based products depends on the traceability associated with each volume. Farm-specific factors or removals require physical traceability through an acceptable chain-of-custody model. A contract with a tier-one trader, by itself, does not establish a link to the farms behind its deliveries.[1]

Build a first-pass table with five columns: commodity and annual volume; supplier and origin; current traceability level; land-use and production risks; and the business owner who can change the purchasing terms. Mark missing data plainly. A blank cell is cheaper to fix before a program starts than after a claim is drafted.

If your company sets an SBTi Forest, Land and Agriculture target (FLAG), keep its land-related target boundary separate from energy and industry emissions. The current FLAG guidance also requires relevant companies to assess primary deforestation-linked commodities in their value chains.[2]

Step 2: Choose a commodity and jurisdiction for a pilot

Select one supply corridor where the sourcing connection can be established and procurement has a reason to stay. A useful pilot has repeat purchases, suppliers willing to share records, an intervention matched to a diagnosed problem, and a defined plan to measure the result. Carbon potential alone is a poor selection rule if the supplier cannot deliver the crop your business needs.

Compare candidate regions on land-use risk, supplier concentration, local rights and tenure, the availability of baseline data, and exposure to drought, erosion, or forest conversion. Check the relevant legal requirements separately. A nature project does not satisfy a due-diligence obligation merely because it has a carbon method attached.

Consider a coffee buyer sourcing from two districts. In the first, producer-group records identify the farms, while recent dry seasons have increased rejected green coffee lots. In the second, deliveries pass through several intermediaries and farm origins are unknown. Pilot shade management in the first district, with local agronomic advice and quality checks built into the plan. The buyer can trace purchases there and test the intervention against a defined sourcing problem.

Use a short decision memo to record why the selected corridor beats the alternatives, what remains uncertain, and what would stop the pilot. That memo is the first control against a project drifting toward whatever happens to photograph well.

Step 3: Design the supplier engagement and commercial model

The intervention needs an owner on each side of the contract. Decide who supplies planting material or training, who maintains the practice, who bears the cost if a harvest disappoints, and how long the buyer expects to purchase from participating suppliers. Where smallholders participate, budget cash flow and technical support for practices that offer a later return.

Put these terms in a supplier agreement or pilot addendum. It should cover eligible farms and volumes, consent to data collection, access for monitoring, any land or carbon rights that matter, benefit sharing, and what happens if the purchasing relationship ends. Ask local counsel and producer representatives to review the arrangement. The Accountability Framework is a useful reference for supply-chain work involving forests, ecosystems, and human rights.[3]

Avoid assigning an automatic carbon benefit to the buyer. The contract should say which party has the right to report each outcome, how overlapping claims will be checked, and how any issued credits will be handled. A reduction reported in a buyer’s inventory cannot simply be sold for someone else’s offset claim without an accounting review. SBTi FLAG guidance excludes purchased credits used as offsets from near-term FLAG target achievement.[2]

Set commercial measures beside environmental ones: delivered volume, rejection rate, supplier retention, and procurement cost. They tell you whether the program works as a supply-chain investment, even if carbon accounting takes longer to resolve.

Step 4: Build monitoring, reporting, and verification before rollout

Agree on the baseline and data flow before paying for a full rollout. Identify the land units or sourcing regions in scope, the practices that change, the records suppliers already keep, and the additional measurements the program requires. Decide which data can come from field visits, transaction records, or remote sensing, and who checks each source.

For carbon, separate three questions. Did the practice happen? Did emissions or removals change under an applicable method? Can the buyer attribute a defensible share to its purchased goods without double counting? The GHG Protocol’s 2026 guidance includes dedicated chapters on spatial boundaries, data and methods, evaluating actions, credited outcomes, and assurance.[1] These are distinct jobs. A photograph of a planted tree answers only part of the first.

CCC’s MRV and Additionality article explains the separate evidence questions a project reviewer will ask.

Create an evidence file for every reporting period: dated supplier and farm records, purchase volumes, methods and emission factors, uncertainty, quality checks, and changes from the baseline. Specify who can challenge the data and how corrections are recorded. If a project also seeks credit certification, keep project accounting and corporate inventory accounting separate. The GHG Protocol says its land standard focuses on entity-level inventories and does not set the rules for credit certification.[4]

Start with the minimum viable measurement design that can survive review. Add complexity when the pilot tells you which data actually changes a decision.

Step 5: Decide what can be reported and claimed

Insetting program design needs reporting rules before the marketing copy. Procurement, sustainability, finance, and legal should agree on four distinct outputs: operational performance; observed land or nature outcomes; inventory effects, if the accounting criteria are met; and any separately issued credits. One dashboard can display them, but they should not share a single unqualified headline.

SBTi FLAG guidance allows certain land-based removals within a company’s operations or supply chain to contribute to FLAG pathways, subject to criteria including permanence, traceability, data quality, and allocation. It does not allow purchased offsets to meet near-term FLAG targets.[2] Eligibility therefore depends on evidence and the applicable target rules, not on calling an activity “insetting.”

Draft a claims register. For each proposed sentence, record the period, boundary, data owner, calculation method, reviewer, and whether the result is measured, estimated, or still a goal. If the evidence supports only “we funded a pilot with 200 farms,” say that. Do not turn a funding fact into a verified emissions reduction.

What good looks like by year three

Treat year three as a review point, not a promised payback date. A mature pilot should have mapped participating supply volumes, a stable supplier agreement, a repeatable data collection process, and a comparison of commercial and environmental results against the baseline. It should also have a documented answer for outcomes that cannot be included in the buyer’s inventory.

Scale only where the pilot improves a sourcing decision and the evidence can follow the product. If neither condition holds, redesign the intervention or change the corridor. A disciplined program can conclude that a site is unsuitable. That is useful procurement intelligence.

Discuss your insetting program with CCC

Carbon Credit Capital designs nature-based supply chain investments around sourcing needs and measurable sustainability outcomes. Schedule a consultation with our carbon and sustainability experts to map your tier-one supplier network, FLAG exposure, and first pilot decision.

Sources

[1] GHG Protocol, Land Sector and Removals Standard, version 1.1, and companion Guidance, June 2026: https://ghgprotocol.org/land-sector-and-removals-standard ; https://ghgprotocol.org/land-sector-and-removals-guidance

[2] Science Based Targets initiative, Forest, Land and Agriculture Science-Based Target-Setting Guidance, version 1.2, March 2026, especially pp. 16–17, 37, and 41: https://sciencebasedtargets.org/resources/files/SBTiFLAGGuidance.pdf

[3] Accountability Framework initiative, Accountability Framework and guidance for companies: https://accountability-framework.org/

[4] GHG Protocol, Frequently Asked Questions: Land Sector and Removals Standard, questions 10 and 18: https://ghgprotocol.org/blog/frequently-asked-questions-land-sector-and-removals-lsr-standard

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The Strategic Case for Nature-Based Carbon Investments

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Nature-based carbon investments deserve consideration when they address a specific business dependency and produce outcomes you can measure. Imagine Moonbucks, a global coffee roaster planning next season’s espresso blend. It is considering natural Grade 4 coffee from Jimma, in southwestern Oromia, Ethiopia. Its sourcing decisions affect the roasting schedule and the cash tied up in coffee purchases. Moonbucks needs to understand which measures could protect that supply, what they would cost and how it would judge the results.

1. Define the sourcing problem before choosing a project

Moonbucks needs a dependable component for its espresso blend. Its procurement team wants continuity of volume and an agreed cup profile. Replacing a shipment at short notice could require new sample approval and changes to the blend, and given the schedules for cultivation, processing, and freight delivery, is practically impossible. Moonbucks needs to get this right, and its initial concern is inconsistent deliveries. It commissions an assessment of the supplying farms and post-harvest chain. The questions cover land condition, harvest availability and whether drying or storage problems are affecting saleable lots.

This distinction changes the investment brief. A tree-planting proposal cannot be assumed to fix drying problems. Better storage cannot restore eroded land. The team must establish which problem exists before selecting the response.

CCC’s guide to finding nature-based solutions in your supply chain explains where to look. Here, the next task is to turn a broad concern into a testable proposal.

2. Develop nature-based carbon investments around the actual supply chain

The assessment would trace Moonbucks’ purchases back through the exporter and supplying producer groups. Which farms supply the contracted lots? Who controls land-management decisions? How long does the buyer expect to maintain the purchasing relationship?

Furthermore, Jimma natural Grade 4 cannot be treated as interchangeable with every Ethiopian coffee. Moonbucks would need to test any substitute against its own blend and quality requirements.

Suppose Moonbucks’ assessment identifies an opportunity to maintain shade trees and restore vegetation along exposed streambanks. The IPCC describes agroforestry as a way to store carbon in vegetation and soil, with potential benefits for erosion control and water quality.1 Moonbucks would need local advice on species, growing conditions and maintenance before deciding how these measures fit its sourcing plan.

The proposal now has a defined sourcing connection and a candidate intervention. The next steps are to test its effect on production, assess carbon eligibility and build the financial case.

3. Compare the proposal with other ways to protect supply

WBCSD’s Nature-based Solutions Blueprint recommends comparing nature-based options with other responses across their benefits and costs.2 For Moonbucks, that means evaluating the landscape proposal alongside drying improvements, storage controls and alternative sourcing arrangements.

The product’s natural-process designation matters. Moonbucks should examine the drying and dry-milling chain alongside land conditions. Its team would check storage practices, contamination risks and incoming-lot quality to see whether problems arise before or after the coffee leaves the farms.

The revised proposal might combine land stewardship with separate post-harvest controls. Each component needs its own purpose and budget. A sustainability label should not obscure which activity is expected to solve which problem.

The project develops as the evidence improves. Its scope should follow the diagnosis rather than preserve the first idea unchanged.

4. Establish what the carbon outcome could count toward

Moonbucks’ sustainability team now tests the proposed carbon case separately from the sourcing case. Is the objective a measurable change in Moonbucks’ value-chain emissions, verified credits for separate voluntary use, or distinct outcomes under carefully defined arrangements?

Scope 3 covers value-chain emissions. A purchasing relationship alone does not prove that a farm intervention can be included in Moonbucks’ inventory. The team needs an applicable accounting method, defensible boundaries and evidence supporting attribution.

SBTi’s FLAG Guidance (forest, land and agriculture), version 1.2, says purchased credits used as offsets cannot meet near-term FLAG or energy and industry targets. Eligible land-based removals are subject to accounting requirements.3 Moonbucks needs to test its proposal against those rules before including an outcome in its targets.

For Moonbucks’ Jimma proposal, maintaining existing trees and establishing new vegetation could involve different carbon questions. Specialists must examine the baseline and additionality, meaning what changes because the project proceeds. They must also assess measurement and the risk that stored carbon is lost. CCC’s MRV and additionality article introduces those tests.

Until that work is complete, Moonbucks should not budget an assumed Scope 3 reduction or credit-sale receipt. Direct emissions reductions remain the priority.

5. Build a financial case that survives weaker assumptions

Moonbucks’ finance team would now build a multi-year budget. UNEP’s State of Finance for Nature 2023 compares current finance with the investment needed to meet climate, biodiversity and land-restoration goals.4 The company would cost its proposed activities, farmer participation and ongoing monitoring. Verification, where required, is a separate expense. Maintenance and responsibility for replacing failed plantings must remain visible after the initial establishment budget ends.

Operational benefits need equally careful treatment. If fewer rejected lots reduce emergency purchasing, count that saving once. Do not add “supply resilience” as another financial benefit when it represents the same avoided cost.

Moonbucks should compare a base case with slower benefits, higher implementation costs and no carbon revenue. It should also distinguish production outcomes from quality and shipment outcomes. A single good harvest would not prove that the landscape intervention caused better delivery performance.

A project can remain worth funding even when its carbon case needs more work. That decision must rest on the operational evidence and the company’s objectives, without unsupported environmental claims.

6. Fund a pilot with a clear expansion decision

Moonbucks’ first approval would fund a bounded pilot, rather than commit the entire sourcing program. Before spending, Moonbucks would agree on participating farms, responsibilities and the evidence needed at review.

Its scorecard could track farmer participation, implementation costs and plant survival, alongside accepted coffee volumes and lot-quality results. Carbon measurements would follow the selected method. Farm-level traceability must connect the intervention to the actual sourcing relationship.

Suppose Moonbucks’ review later finds that storage changes explain most quality improvements, while the land measures need longer observation. Those findings would shape the next decision: expand the proven component, adjust the landscape work or pause further spending. They would not justify crediting all improvements to tree planting.

This gives nature-based carbon investments a practical place in a multi-year strategy. Funding increases as the evidence supports it, and the project can change direction before a larger commitment.

Discuss a sourcing opportunity with CCC

Carbon Credit Capital’s nature-based supply-chain investment service uses its Dual-Value Model to examine supply-chain economics alongside potential sustainability outcomes.

Schedule a consultation to discuss your sourcing exposure and the questions to resolve before allocating capital.

Sources

  1. Intergovernmental Panel on Climate Change (IPCC), Climate Change 2022: Mitigation of Climate Change, Chapter 7, Agriculture, Forestry and Other Land Uses, section 7.4.3.3 (Agroforestry).
  2. World Business Council for Sustainable Development (WBCSD), Nature-based Solutions Blueprint, 5 June 2024.
  3. Science Based Targets initiative (SBTi), Forest, Land and Agriculture Science-Based Target-Setting Guidance, version 1.2, March 2026, section 3.1.4, pp. 37–38.
  4. United Nations Environment Programme (UNEP), State of Finance for Nature 2023, 2023.
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How to buy plastic credits, and what to check before you do

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A plastic credit funds the collection of plastic waste in places where no formal system exists to collect it. Each credit represents a measured, independently audited quantity of plastic taken out of the environment or returned to use, tracked on a public registry.

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