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Yes—but “the cloud” is not weightless or immaterial. Every online service runs in physical data centres filled with servers, networking equipment, power systems and cooling infrastructure. Those facilities consume electricity and, in many designs, water. The climate effect depends mainly on how much computing is done, where equipment is located, how efficiently it operates and how its electricity is generated.
The most defensible conclusion is neither “cloud computing is clean” nor “the cloud is destroying the planet.” Data centres used a globally significant but still minority share of electricity in 2024, while rapid growth and geographic concentration can create much sharper effects on a particular power grid or watershed.
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The cloud is physical infrastructure
“Cloud” describes a way of delivering computing and storage, not a substance floating above the planet. Files, applications, databases and AI models reside on servers in data centres. Those buildings also need uninterruptible power systems, transformers, networking hardware, fire suppression, security systems and cooling equipment.
Electricity is used both by the information-technology equipment doing the work and by the facility systems that support it. Microsoft describes energy and water as resources used to power, heat and cool its cloud operations. A photo upload, video stream or software request therefore has a physical chain behind it, even when the user sees only a web page.
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The environmental accounting boundary matters. A statistic for all data centres includes enterprise systems, colocation facilities, online services and cloud workloads; it is not a measurement of “cloud” alone. Conversely, a provider’s own figure may cover only sites it owns and controls, or only a particular reporting year.
How much electricity do data centres use?
The International Energy Agency’s 2025 Energy and AI report states: “Data centres accounted for around 1.5% of the world’s electricity consumption in 2024, or 415 terawatt-hours (TWh).” That is a large absolute amount, but it is not most of the world’s electricity. The same analysis says data-centre consumption has grown by about 12% per year since 2017, more than four times faster than total electricity consumption.
| Measure | Figure | How to read it |
|---|---|---|
| Global data-centre electricity use in 2024 | 415 TWh | About 1.5% of global electricity; includes all data-centre workloads, not cloud services alone. |
| Average annual growth since 2017 | About 12% | IEA comparison for data-centre electricity consumption; faster than overall electricity demand. |
| IEA 2030 Base Case | About 945 TWh | A scenario projection, not a guaranteed outcome. |
| IEA 2035 Base Case | About 1,200 TWh | A longer-range scenario projection; actual demand will depend on technology, prices, policy and usage. |
AI is the most important growth driver identified by the IEA, alongside continuing demand for other digital services. More efficient chips, servers and cooling can reduce energy per computation, but efficiency does not automatically reduce total consumption. If capacity and workloads grow faster than energy savings, the electricity bill for the sector still rises.
What does that mean for emissions?
Electricity use is not the same thing as greenhouse-gas emissions. A centre connected to a grid with a low-carbon mix will have a different electricity-related footprint from an otherwise identical centre supplied largely by fossil fuels. Location, time of use and the accounting method for purchased power all change the result.
| IEA estimate or scenario | Electricity-related data-centre emissions | Qualification |
|---|---|---|
| Current estimate in the IEA analysis | About 180 million tonnes (Mt) | Electricity-related emissions; the climate discussion excludes emissions from backup power generation. |
| 2035 Base Case | About 300 Mt | Scenario estimate. |
| 2035 Lift-Off Case | Up to 500 Mt | Higher-growth scenario estimate. |
The IEA says these emissions remain below 1.5% of total energy-sector emissions over this period, even though data centres are among the fastest-growing sources. That combination explains why both sides of the debate can sound plausible: the global percentage is relatively small, while the growth rate and absolute tonnes are material.
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These figures should not be presented as a personal “cloud footprint.” The available estimates do not provide a directly comparable amount for one user, one stored file or one AI request. Provider and facility boundaries differ, and the carbon intensity of electricity changes by region and time.
Why water and local impacts can be more serious than the global percentage
Data centres remove heat from servers. Depending on the design and climate, cooling systems can use water directly, and humidification can add to consumption. Water efficiency varies with weather, cooling technology, facility design and the source of the water.
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Outbyte Driver Updater FREEFix the driver behind crashes, sound loss and screen glitchesFind Drivers →Outbyte PC Repair FREEClear out junk files and repair common Windows errorsFree Scan →A global average can hide a local problem. The IEA notes that nearly half of United States data-centre capacity is concentrated in five regional clusters. A new facility may therefore be a modest addition to global demand but a significant new load for one transmission network, power market or watershed. Local effects can include competition for water during dry periods, new generation and transmission requirements, and concentrated air pollution where fossil generators meet additional demand.
Water accounting also needs careful wording. “Water consumed,” “water withdrawn” and “water replenished” are different measures. Replenishing a volume elsewhere or later does not mean a facility used no water at its operating location, nor does it remove pressure from a stressed watershed.
How PUE and WUE measure efficiency
When a provider publishes efficiency metrics, two abbreviations appear frequently:
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- Power Usage Effectiveness (PUE): total data-centre facility energy divided by energy used by computing equipment. A value closer to 1 means less facility overhead for each unit of IT energy. PUE does not reveal total electricity demand or the carbon intensity of the grid.
- Water Usage Effectiveness (WUE): annual water used for humidification and cooling divided by annual kilowatt-hours used by IT equipment. WUE does not, by itself, describe local water scarcity, water quality, source or replenishment.
Microsoft’s definition is concise: “The closer the PUE number is to ‘1’, the more efficient the datacenter.” Its FY25 figures illustrate why the boundary must travel with the number.
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| Microsoft FY25 measure | Reported value | Boundary and period |
|---|---|---|
| Global PUE | 1.17 | Facilities Microsoft fully owns and controls that operated for 12 months; FY25 ran July 1, 2024 through June 30, 2025. |
| Global WUE | 0.27 L/kWh | Same FY25 boundary. |
| WUE, Europe, Middle East and Africa | 0.03 L/kWh | Regional FY25 value within the stated boundary. |
| WUE, Americas | 0.34 L/kWh | Regional FY25 value within the stated boundary. |
The regional spread shows why a single global average cannot answer whether a particular facility is benign for its surroundings. It also shows why PUE and WUE should be used as operational indicators, not as a complete score for climate damage.
What provider sustainability reports do—and do not—prove
Company reporting can document real improvements, but it is not evidence that cloud operations have zero impact. Google reported that its data-centre energy emissions fell 12% in 2024. It also reported replenishing 4.5 billion gallons of water in 2024, equal to 64% of its freshwater consumption, up from 18% in 2023.
Those are company-reported results with defined accounting boundaries. Water replenishment is not the same as eliminating local water use, and a percentage of freshwater consumption does not describe the condition of every watershed where facilities operate.
Google also said it contracted for more than 8 gigawatts of clean energy. The company’s report notes that this total primarily represents power-purchase agreements and that actual generation can vary from contracted amounts. An annual renewable-energy match is therefore not identical to receiving carbon-free electricity every hour at every facility.
Microsoft’s PUE and WUE values likewise cover only the facilities it fully owns and controls that were operational for a full year. A comparison that mixes those numbers with a provider’s leased, contracted or worldwide footprint would not be like-for-like.
Can digital services reduce emissions elsewhere?
Yes, potentially. The IEA identifies applications such as detecting methane leaks and improving power-plant efficiency as ways AI could help reduce emissions in the energy sector. That is a qualified possibility, not a demonstrated balance sheet showing that all data-centre impacts are offset.
Any claimed benefit should be evaluated separately: What activity changed? How much energy or fuel was avoided? Over what period and boundary? Was the result measured independently? Without those details, “AI can help the climate” remains a useful hypothesis rather than proof that rising data-centre demand is environmentally positive overall.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Is cloud storage worse than keeping files locally?
There is no universal answer from the available data. A fair comparison would need the energy and carbon associated with a local device, its manufacture and replacement, network transfers, backup copies, the cloud facility’s electricity and cooling, and the electricity mix in each location. The reviewed figures do not establish a comparable footprint for one person’s cloud storage or one locally stored file.
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Cloud services can consolidate workloads into highly utilized facilities, while a local device may avoid repeated network transfers for files used offline. The reverse can also be true for a lightly used server, an inefficient facility or a data set copied across multiple regions. Treat “cloud” and “local” as system designs to be measured, not as automatically clean or dirty categories.
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A practical way to evaluate a cloud provider’s environmental claim
Use the following checks before accepting a headline sustainability number:
- Identify the boundary. Ask which owned, leased or contracted sites, workloads and backup systems are included.
- Check the year and geography. A fiscal-year global average cannot be compared directly with a calendar-year regional result.
- Separate efficiency from scale. A lower PUE or WUE can coexist with higher total demand when capacity and workloads grow.
- Examine electricity accounting. Distinguish annual renewable-energy matching from time- and location-specific carbon-free supply.
- Read water data locally. Look for the water source, direct use, replenishment method and watershed stress, not only a global WUE.
- Look for verification and methodology. State whether the figure is company-reported, independently assured and calculated consistently over time.
- Include backup generation. The IEA’s 180 Mt estimate excludes emissions from backup power generation, so a narrow electricity figure is not a full life-cycle inventory.
What organizations and users can do
Individual users cannot derive a precise personal footprint from the published global totals, but organizations can make better decisions with workload-level information. Before choosing a region or architecture, ask providers for energy and water data that match the sites and services being used. Prefer evidence that identifies geography, reporting year, accounting boundary and the difference between contracted and physically delivered clean power.
Engineering teams can also examine whether they are retaining duplicate data, running idle instances, moving information between regions unnecessarily or demanding peak capacity that is rarely used. These steps are operational choices, not guaranteed emissions reductions; their value depends on the workload and the provider’s infrastructure. For water-sensitive projects, a regional watershed assessment is more informative than a worldwide average.
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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchAt the policy and procurement level, require disclosure of PUE, WUE, total energy, electricity sourcing and growth in absolute terms. Efficiency targets should sit alongside limits on total demand and clear reporting of new capacity. Otherwise, a small improvement per computation can mask a much larger expansion in the number of computations.
Bottom line
Cloud computing is damaging the planet in the ordinary, physical sense that its data centres consume energy, use water and produce emissions associated with their electricity. The 2024 global share—415 TWh, or about 1.5% of world electricity—is not dominant, but consumption is growing rapidly and the IEA’s scenarios reach about 945 TWh in 2030 and 1,200 TWh in 2035. The most important qualifications are location, electricity supply, cooling design, water stress, workload growth and reporting boundaries.
The right question is not whether the cloud is simply good or bad. It is which facility, serving which workload, on which grid, using how much energy and water, under what accounting method. That level of detail is where an environmental claim becomes useful.
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