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US Data Center Power Use Will Double by 2030 Because of AI

Amid the energy transition, data centers play a pivotal role as greedy consumers of electricity, driving demand and shaping the future of power generation and distribution.

Data centers could consume between 4.6% and 9.1% of US electricity by 2030, according to an analysis by the Electric Power Research Institute (EPRI). 

The EPRI white paper “Powering Intelligence: Analyzing Artificial Intelligence and Data Center Energy Consumption” outlines four data center electricity consumption growth scenarios from 2023 to 2030. 

Continuous Operation and Rising Demand

Data centers operate continuously, requiring substantial power to support their systems and equipment. The power consumption in data centers is typically divided between IT equipment and infrastructure resources like cooling and power conditioning systems. 

In 2023, global data centers consumed 7.4 GW of power, marking a 55% increase from 4.9 GW in 2022, according to a separate report by Cushman & Wakefield. This significant rise underscores the substantial environmental impact associated with the energy demands of data centers.

U.S. data center load could grow to nearly 21 GW this year, up from 19 GW in 2023, according to a Federal Energy Regulatory Commission (FERC) report. By the end of the decade, this electricity demand will climb to 35 GW, according to the FERC.

Currently, data centers account for over 4% of the total US electricity load but could rise to 9% by 2030. This growth is due to increasing computing power needed by artificial intelligence (AI).

AI queries needs about 10x the power use of traditional internet searches, while generating AI-made music, photos, and videos requires much more.

  • A traditional Google search uses about 0.3 watt-hours (Wh), while a query using ChatGPT, the chatbot developed by OpenAI, requires around 2.9 Wh, EPRI reported.

The International Energy Agency predicts US data center electricity consumption will rise from 200 TWh in 2022 to about 260 TWh by 2026, making up 6% of total power demand. Boston Consulting Group projects this could reach 7.5% by 2030. 

EPRI’s Four Datacenter Energy Consumption Scenarios

The EPRI report analyzes the future energy consumption of power-hungry data centers under four scenarios.  

In a low-growth scenario, data centers’ electricity consumption would grow by 3.7% annually, reaching 4.6% by 2030. This is primarily driven by limited AI tool adoption and significant efficiency gains. 

A moderate-growth scenario predicts a 5% annual growth rate, resulting in data centers consuming 5% of US electricity. Meanwhile, high-growth scenarios foresee annual growth rates of 10% and 15%, with data centers consuming 6.8% to 9.1% of the nation’s electricity by 2030. The highest growth scenario is based on rapid AI adoption and limited efficiency improvements.

EPRI U.S. Data Center Load Projections

US data centers power use under 4 scenarios EPRI analysisEPRI emphasizes three key strategies to manage this growth, which are: 

  • Enhancing data center efficiency and flexibility, 
  • Improving coordination between data center developers and electricity providers, and
  • Developing stronger modeling tools to plan long-term grid investments. 

These measures aim to support technological advancements while ensuring grid reliability and minimizing impacts on customers.

Regional Power Challenges and Strategic Planning

As of March, the Electric Power Research Institute reported 10,655 data centers worldwide, with approximately half located in the US. In 2023, about 80% of US data center load was concentrated in 15 states, led by Virginia and Texas. 

2030 data centers % of US state electricity use

EPRI highlighted the challenges posed by data centers’ demands for highly reliable power, requests for new non-emitting generation sources, and short lead times for connection (two years or less), which can strain local and regional electricity supplies.

Data centers consumed roughly a quarter of Virginia’s electricity in 2023, the highest in the US, followed by North Dakota at over 15%, and Iowa, Nebraska, and Oregon each exceeding 11%. 

EPRI projected that with evenly distributed growth, Virginia’s data center load share could rise to nearly 50% in a high-growth scenario and average 36% across four scenarios. In other states, the data center load share could approach 20% or more, although actual growth could be unevenly distributed.

Hyperscalers and colocation centers dominate the US datacenter landscape, with significant growth projected in regions like Dallas-Fort Worth, Silicon Valley, Chicago, New York Tri-State, and Atlanta, potentially increasing power demands by 50% or more.

Data Center Capacities by Metropolitan Area

US data center development by region

Utilities across the US are recognizing both the opportunities and challenges posed by data center development, especially regarding load growth and generation investments. 

Indeed, analysts anticipated that data center power demand fuels U.S. utility Q1 2024 earnings discussions. 

EPRI findings underscore the critical need for strategic planning and infrastructure development to accommodate the increasing energy demands of data centers while ensuring grid reliability and meeting environmental goals. EPRI Vice President of Electrification and Sustainable Energy Strategy David Porter remarked that:

“The data center boom requires closer collaboration between large data center owners and developers, utilities, government, and other stakeholders to ensure that we can power the needs of AI while maintaining reliable, affordable power to all customers.”

The post US Data Center Power Use Will Double by 2030 Because of AI appeared first on Carbon Credits.

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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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Carbon Footprint

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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Carbon Footprint

EU carbon credit claims after 27 September 2026

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EU carbon credit claims changed on 27 September 2026, the day the Directive (EU) 2024/825 began to apply across the European Union. The change is narrow. It changes how a company can talk about the credits it buys. A product can no longer be called neutral on the strength of compensation alone; however, every specific, evidenced statement about what a company measured, reduced, and funded stays fully available.

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