AI is not simply on course to “run out” of electricity, but power is becoming a major constraint on how quickly data centers can grow. The challenge is not just producing enough electricity: it is delivering it to the right place at the right time. Global data-center use remains a modest share of electricity consumption, yet very large facilities clustered in particular areas can put local grids under pressure.
How much electricity do data centers use?
The International Energy Agency (IEA) estimated that data centers consumed about 415 terawatt-hours (TWh) of electricity worldwide in 2024, around 1.5% of global electricity consumption. In its 2025 base case, the IEA projects data-center consumption to reach about 945 TWh in 2030. That is a forecast, not a certainty, and it covers data centers overall—not AI alone.
Data centers support many workloads, including cloud services, storage, and other digital services. AI is a significant source of expected growth, especially as facilities deploy more accelerated servers, but the available global totals do not isolate AI’s electricity use.
The IEA’s separate supply analysis estimates that 460 TWh of electricity generation supplied data centers in 2024. In its base case, generation required rises to more than 1,000 TWh in 2030 and 1,300 TWh in 2035. These generation figures are not a replacement for the consumption estimates: one describes electricity generated to supply data centers, while the other reports data-center electricity consumption.
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U.S. estimates use different years and methods
U.S. figures also point to rapid growth, but they should be read as separate estimates rather than one continuous forecast.
| Measure | Estimate | Source and qualification |
|---|---|---|
| U.S. data-center electricity use in 2014 | 58 TWh | U.S. Department of Energy (DOE), 2024 release summarizing a report |
| U.S. data-center electricity use in 2023 | 176 TWh | DOE, 2024 release summarizing a report |
| U.S. data-center electricity use in 2028 | 325–580 TWh | DOE, 2024 release; an estimate range, not a measured total |
| Share of U.S. electricity use that data centers could represent by the end of the decade | 9.5%–15.3%; central estimate 11.8% | Lawrence Berkeley National Laboratory (LBNL), 2025, as summarized by the DOE’s 2026 resource hub |
Why can a modest global share strain a local grid?
Electricity demand is tied to specific locations and times. A data center may need a large, steady supply in one area; the global 1.5% figure does not show whether that area has spare generation, transmission capacity, or a workable connection. The IEA’s 2025 analysis identifies this concentration as a challenge: data-center loads can be difficult to integrate where capacity and grid connections are constrained.
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That means “enough electricity” has two parts: enough generation in the broader system, and enough capacity to move power to the facility when it needs it. A region may have adequate resources overall but still face a local connection or transmission bottleneck. Building new lines and substations, obtaining equipment, and completing interconnections can take years, so new generation alone does not guarantee that power will reach a growing data-center cluster.
The pace of demand growth matters too. The IEA reported that data-center electricity demand grew 17% in 2025, compared with 3% growth in global electricity demand. Rapid growth can require new generation and grid investment, and the IEA flags affordability as a concern when large loads expand quickly.
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Can the power grid keep up?
There is no single answer for every country or region. The outcome depends on how quickly data centers are built, how much computing capacity and efficiency improve, where facilities locate, and whether generation and grid infrastructure are ready. The IEA’s 945 TWh global estimate for 2030 is its base case; different adoption, efficiency, and construction paths could produce different outcomes.
Infrastructure lead times are a particular constraint. The IEA says new transmission lines can take four to eight years to build in advanced economies. It also reports that waiting times for critical transformers and cables doubled over the preceding three years. When a project’s power requirement arrives before its connection or supporting equipment, the bottleneck is delivery—not necessarily a lack of electricity worldwide.
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U.S. adequacy is not the same as a guarantee against local stress
In its 2025 summer assessment, the Federal Energy Regulatory Commission (FERC) said U.S. regions had adequate generating resources for expected summer demand and operating reserves if normal conditions prevailed. The same assessment described tightening margins and conditional risks: combinations of above-normal demand, low renewable output, wildfires that affect power transfers, and generator retirements could make availability tight in some areas.
That was a seasonal assessment under stated conditions. It does not establish year-round adequacy everywhere, nor does it support a claim that the entire country faces a uniform shortage. Local pressure and national adequacy can coexist.
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Where will the electricity come from?
Data-center demand will be met by a mix of generation, with the mix varying by region and over time. In its 2025 base-case supply analysis, the IEA expects renewables to provide nearly half of the additional electricity needed by data centers over the next five years. Natural gas and coal also contribute in the analysis, while nuclear becomes more important later in the decade and beyond. This is a scenario-based outlook, not a guarantee that every new facility will use the same mix or that its power will come from a particular source.
The implication is that adding data-center capacity can increase demand on the wider electricity system, even when a company makes a separate clean-energy commitment. The grid’s available generation, operating conditions, and ability to deliver power determine what serves a facility at a given time.
What can reduce the pressure?
There is no single fix. The response spans utilities, grid operators, governments, and data-center operators; it combines new supply with better use of existing infrastructure.
- Build generation and grid capacity: Accelerate investment in both power sources and the transmission and connection infrastructure needed to deliver their output.
- Improve efficiency: More efficient hardware and software can reduce the electricity needed for a given amount of computing, though efficiency gains do not guarantee that total demand will fall if AI use expands faster.
- Make computing loads more flexible: Where workloads allow, operators can shift or schedule computing to better match grid conditions rather than treating every task as equally time-critical.
- Choose sites with power capacity in mind: Locating facilities where generation, connections, and grid capacity are available can avoid concentrating new demand in already constrained areas.
- Use onsite generation and storage flexibly: These can help manage a facility’s demand, but their value depends on how they operate alongside the grid and does not remove the need for adequate system infrastructure.
What this means for AI’s growth
Electricity is becoming a major infrastructure constraint alongside chips, capital, land, cooling, and supply chains—not a simple replacement for the chip race. Data-center electricity use is growing quickly, but forecasts remain sensitive to AI adoption, efficiency improvements, construction, and energy-sector build times. The most consequential bottlenecks may therefore be regional: whether enough power and grid capacity can be brought online where facilities are being built.
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