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AI data centers run on electricity—not directly on natural gas or oil as their normal computing power source. Servers, networking, storage and cooling all draw electricity; the fuels used to generate that electricity depend on the local grid and on whether a facility has onsite generation. The International Energy Agency (IEA) estimates that data centers used about 415 terawatt-hours (TWh) of electricity worldwide in 2024, roughly 1.5% of global electricity consumption. Its base case projects about 945 TWh in 2030. Natural gas is already a significant part of the supply mix, but the IEA material does not establish a reliable oil-specific share for AI data centers.
How do AI data centers use energy?
AI data centers convert electricity into computing capacity. The electricity powers servers running AI workloads, as well as the networking and storage equipment that moves and holds data. Cooling systems also use electricity to manage heat from the equipment. These loads operate continuously, although demand can fluctuate rapidly as computing activity changes.
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The IEA’s 2025 analysis estimates that data centers consumed about 415 TWh globally in 2024, equal to around 1.5% of the world’s electricity consumption. In its base case, global data-center electricity consumption reaches about 945 TWh in 2030. These are figures for data centers overall, not a separate measurement of AI-only electricity use.
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How much electricity do AI data centers use?
The IEA reports rapid growth in electricity demand, but its global data-center total should not be mistaken for an AI-only total. The IEA’s 2025 analysis says global data-center electricity demand grew 17%, while electricity demand from AI-focused data centers grew 50%. Those growth figures describe different groups and should not be combined into a single rate.
The difference between the 415 TWh of consumption in 2024 and the projected 945 TWh in 2030 illustrates the scale of the expected increase. It is a scenario projection, not a guarantee: the amount actually used will depend on how quickly data centers are built and connected, how workloads develop, and how efficiently computing and facility systems use power.
The IEA also distinguishes electricity consumed from generation required to serve data centers. Its base case puts generation serving data centers at 460 TWh in 2024 and more than 1,000 TWh in 2030. These numbers are not interchangeable: one refers to data-center electricity consumption, while the other is the generation serving that demand. The distinction is useful when interpreting supply forecasts, but it does not provide an additional measure of electricity used inside the facilities.
What is the role of natural gas?
Natural gas is a major source of electricity serving data centers, but its share varies by geography. In the IEA’s 2025 analysis, gas supplied about 26% of current global data-center electricity. In the United States, natural gas supplied over 40% of data-center electricity in 2024. The U.S. figure is not a global estimate, and neither percentage means that the facility itself necessarily burns gas.
Gas-fired power can be dispatched when electricity is needed, which makes it a potential source of firm generation for a system serving data centers. Some developers are pursuing onsite gas generation when a grid connection is slow. The IEA estimates that possible onsite natural-gas capacity serving data centers could reach 15–27 gigawatts by 2030, mostly in the United States. This is a possible capacity range, not a statement that all data centers will have gas generators or that they will run continuously.
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Onsite generation and grid supply are different arrangements. With grid supply, power comes through the electricity system and reflects the generation mix serving it. With onsite generation, a facility or project produces electricity locally, potentially reducing reliance on a timely grid connection. The IEA figures indicate that onsite gas capacity is being pursued, but they do not establish how often such equipment will operate or what share of all data-center electricity it will provide.
Do AI data centers run on oil?
The established answer is narrower than a simple yes or no. Data centers use electricity, and the IEA analysis summarized here does not publish a reliable oil-specific share of electricity serving AI data centers. It would therefore be misleading to assign oil a percentage of their energy use from these figures.
Keep routine electricity supply separate from contingency backup. The available figures describe electricity demand and generation sources, but they do not quantify oil use for backup systems or establish how much any backup equipment runs. Without a sourced figure for a particular region, fleet, or facility, claims that oil is a major normal operating fuel—or that oil accounts for a specific share—go beyond what is established.
Natural gas receives a quantified share in the IEA analysis; oil does not. The omission does not prove that oil is never used in connection with a data center. It means the cited analysis does not support a comparable oil percentage. That difference in evidence should remain clear whenever electricity, gas and oil are discussed together.
How do renewables and nuclear fit into the power mix?
Renewables supplied about 27% of current global data-center electricity in the IEA’s 2025 analysis. The IEA projects that renewables will meet about half of additional data-center demand through 2035, while natural gas and nuclear provide major additions to firm generation. These projections describe expected supply growth, not a promise that every new facility will be powered by renewables or nuclear.
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Availability and timing vary by region. A source of electricity may be present in a country or on a future plan but not available at the specific location and time a data center needs power. Transmission, storage and grid connection timing affect whether generation can serve a particular facility. That is one reason an overall generation forecast does not settle the power mix for every project.
For readers comparing energy sources, the relevant questions are not only which fuel appears in a national or global mix, but also whether power reaches the site, when it is available, and whether the source can supply demand when needed. The IEA’s outlook includes renewables and nuclear as well as gas; it does not suggest that one source alone will satisfy all new demand.
Why can data centers create local power bottlenecks?
Data-center demand is geographically concentrated, and newer AI facilities can require substantial power at a single location. Global percentages can hide this local effect: a relatively small share of worldwide electricity can still create a serious connection or capacity challenge in the places where many facilities cluster.
Power density is also rising. The IEA estimates that one advanced AI server rack could have peak demand in 2027 equivalent to the peak demand of about 65 households. This is a comparison of peak demand, not a claim that one rack uses the same total electricity as 65 homes over a year. It helps explain why a facility’s electrical requirements cannot be understood just by counting buildings or comparing average consumption.
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When the grid cannot connect a project quickly, developers may seek onsite generation, including gas generation. That can change where electricity is produced, but it does not remove the need to consider fuel supply, reliability, emissions and how the equipment will be used. The IEA’s possible 15–27 GW of onsite gas capacity by 2030 reflects this response to connection constraints, especially in the United States; it is not a universal outcome.
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What do the figures mean for household electricity bills?
The IEA figures establish that data-center electricity demand is growing and that grid connections can be a bottleneck. They do not state how much that demand will change a household’s bill. Bill effects depend on local power supply, grid investment and electricity-market arrangements, so a global consumption projection cannot be translated into a specific household cost from these figures alone.
For a personal-finance decision, separate the national or global trend from your own utility’s rates and notices. The 1.5% global share for 2024 is not a local utility measure, and the U.S. gas share is not an electricity-price forecast. Neither figure tells an individual customer whether rates will rise, by how much, or when.
The most useful conclusion for consumers is to treat data-center expansion as a factor in future electricity planning—not as a standalone bill estimate. To assess a household impact, look for local utility or regulator information that directly addresses generation, transmission investment and rate changes in your service area.
How should the key numbers be read?
The figures below come from the IEA analysis described above. Each has a defined year or scenario; they should not be read as measurements of one identical category.
| Measure | Figure | What it describes |
|---|---|---|
| Global data-center electricity consumption, 2024 | 415 TWh | Electricity consumed by data centers worldwide |
| Share of global electricity consumption, 2024 | About 1.5% | Data centers’ share of worldwide electricity use |
| Global data-center electricity consumption, 2030 | About 945 TWh | IEA base-case projection |
| Generation serving data centers, 2024 to 2030 | 460 TWh to more than 1,000 TWh | IEA base-case generation measure, distinct from consumption |
| Natural gas share of current global data-center electricity | About 26% | IEA 2025 analysis |
| Renewables share of current global data-center electricity | About 27% | IEA 2025 analysis |
| Natural gas share of U.S. data-center electricity, 2024 | Over 40% | United States; not a global share |
| Growth in global data-center electricity demand | 17% | IEA 2025 figure |
| Growth in AI-focused data-center electricity demand | 50% | IEA 2025 figure, a separate category from total data centers |
| Possible onsite natural-gas capacity serving data centers by 2030 | 15–27 GW | IEA estimate; mostly in the United States |
| Peak-demand equivalent for one advanced AI server rack in 2027 | About 65 households | IEA comparison of peak demand |
What is the clearest way to summarize the energy picture?
Electricity is the direct operating energy for AI data centers. Natural gas is a substantial source of the electricity serving them—especially in the United States—and may also be used in onsite generation projects. Renewables and nuclear are part of the supply outlook, while the timing and location of power delivery matter as much as global totals. For oil, the responsible answer is that the cited IEA analysis does not establish a reliable AI data-center share.
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Frequently Asked Questions
Does the 415 TWh figure count only AI data centers?
No. It is the IEA’s estimate for data centers worldwide in 2024, not an AI-only total. The IEA separately reports growth in AI-focused demand, but that growth rate should not be substituted for a separate AI consumption total.
Does one server rack really use as much electricity as 65 homes?
The IEA comparison is about peak demand for one advanced AI server rack in 2027 and the peak demand of approximately 65 households. It is not an annual-energy comparison, so it should not be interpreted as equal yearly electricity consumption.
Does a data center’s gas percentage mean it burns gas onsite?
No. The percentage describes natural gas’s contribution to electricity serving data centers, which can come through the grid. Onsite gas generation is a separate arrangement, and the available estimate of onsite capacity does not show how frequently it will run.
Can the global electricity forecast predict my local utility’s rates?
No. A global demand forecast does not specify local rate effects. Utility prices depend on local generation, grid costs and market rules, so a household estimate requires information from the relevant utility or regulator.
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