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1Repair Windows errors before they cause bigger problems2Scan for outdated or missing drivers - takes under a minute3Clear out junk files and repair common Windows errorsAI data-center growth depends on more than building servers: each site needs enough deliverable electricity, a way to remove concentrated heat, and network routes with the capacity and resilience to move data. Globally, data centers remain a modest share of electricity use, but their rapid growth can strain power and fiber infrastructure in the places where facilities cluster.
How much electricity do data centers use?
The global totals are significant and rising, but they do not show whether a particular site can get power. The International Energy Agency (IEA) estimated that data centers used 415 terawatt-hours (TWh) of electricity in 2024, about 1.5% of global electricity consumption. The IEA’s 2025 analysis put average annual growth over the preceding five years at 12%.
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Forecasts have since been updated. The IEA’s 2025 Energy and AI report projected 945 TWh of global data-center electricity use in 2030 in its Base Case. The IEA’s 2026 update estimated 485 TWh in 2025, a 17% increase from 2024, and projected 950 TWh in 2030 in its central outlook. These are estimates and projections from different publication years and outlooks; the small difference between the 2030 figures does not by itself indicate a contradiction.
| Figure | What it describes | Attribution and qualification |
|---|---|---|
| 415 TWh; 1.5% | Global data-center electricity use and share in 2024 | IEA estimate published in 2025 |
| 12% per year | Average annual growth in data-center electricity use over the preceding five years | IEA estimate published in 2025 |
| 945 TWh | Global data-center electricity use in 2030 | IEA 2025 Base Case projection |
| 485 TWh; 17% | Global use in 2025 and growth in demand during 2025 | IEA estimates published in 2026 |
| 950 TWh | Global data-center electricity use in 2030 | IEA 2026 central projection |
A global share cannot reveal local pressure. Facilities often cluster near network infrastructure, customers, land, or other data centers, concentrating new load on particular grids. The U.S. Department of Energy describes data-center demand as large, regionally concentrated, rapidly growing, and generally requiring firm power. That makes local hosting capacity and delivery infrastructure central to whether a project can proceed.
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Why are data centers struggling to get power?
Generating enough electricity nationally or globally is not the same as having a grid connection with enough capacity at a specific site. A project depends on whether the local system can deliver power at the required scale and reliability, and on how quickly utilities and other authorities can approve and build the connection. Transmission and distribution upgrades, transformers, power electronics, and other equipment can all be constraints.
The timing mismatch is important: a technology facility can be built in a few years, while planning, approving, and constructing energy infrastructure takes longer. The IEA’s 2026 update identified grid-connection delays and supply-chain bottlenecks for transformers and power electronics. Its 2026 news release also reported that developers were advancing on-site natural-gas generation in response to slow grid connections. That is a response to some projects’ circumstances, not evidence that every site needs or will use on-site generation.
What affects a site’s power access?
- Available capacity: The local grid must have enough headroom for the facility’s load, or be upgraded to provide it.
- Connection approval and construction: Utility reviews, permits, equipment procurement, and grid work affect the time to energization. Connection timelines vary by location and project; there is no single queue wait that applies everywhere.
- Reliability and firmness: Many data-center operations need power that is available consistently, rather than supply that varies with weather or time of day.
- Load behavior: AI workloads can create changing demand. The IEA’s 2026 update highlights load swings, making operating flexibility relevant to how the grid serves a facility.
What can help close the power gap?
Options depend on the site and local system. Developers can prioritize locations with available grid capacity, while utilities and governments can expand generation and transmission or distribution infrastructure. Variable renewables can contribute alongside storage and the broader power system; firm sources may also be part of the supply mix. Where system operators allow it, flexible operations or a non-firm connection can help accommodate a load, but those arrangements may limit when or how much power is available.
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In its 2025 Base Case, the IEA projected renewables would meet nearly half of the added electricity demand from data centers through 2030, with gas and other sources also contributing. This is a modeled outlook, not a guarantee about the supply mix or availability for any individual project.
How does AI affect data-center cooling?
AI accelerators put more computing power—and therefore more heat—into a concentrated space. The IEA’s 2026 update reported an 11-fold increase in AI-server power density between 2020 and 2025. As rack density rises, operators have to design for heat removal, liquid distribution where used, and the electrical and mechanical systems that support cooling.
Cooling also consumes electricity, but its share varies substantially with facility type and efficiency. The IEA’s 2025 analysis put cooling at around 7% of electricity use in efficient hyperscale facilities and over 30% in less-efficient enterprise facilities. These are ends of a range, not a universal estimate for every data center.
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Air and liquid cooling are design choices, not one-size-fits-all answers
Direct liquid cooling is receiving more attention as rack power density rises because it can move heat from equipment through a liquid system. Whether it fits depends on the server design, cooling distribution, facility layout, operating practices, and the possibility of retrofitting existing infrastructure. It should not be treated as a simple replacement that every existing data center can make in the same way.
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Uptime Institute’s 2025 Cooling Systems Survey covered 1,033 respondents and examined cooling-system use and continued direct-liquid-cooling adoption. Its separate Global Data Center Survey 2025 reported that average power usage effectiveness (PUE) had changed little over six years, with legacy infrastructure and regional barriers limiting improvement. Those findings point to migration and retrofit challenges; they do not establish a single cooling configuration for new AI sites. Water use likewise depends on the site and cooling system, so a single global figure would be misleading.
Is fiber becoming a bottleneck for AI data centers?
Potentially, particularly where new facilities need high-capacity, resilient connections and existing routes are limited. Interconnect includes links within a data center, connections between facilities, and external fiber routes that connect facilities to one another and to users. Power and cooling determine whether a site can run; network capacity and route quality shape how effectively it can exchange data.
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In March 2025, Ciena reported results from a commissioned survey of more than 1,300 data-center decision makers in 13 countries. Respondents expected data-center-interconnect bandwidth demand to grow at least sixfold over five years, and more than half expected AI to create the biggest DCI demand over the next two to three years. Those results are respondent expectations, not measured market-wide traffic growth.
The Fiber Broadband Association’s 2025 report describes inter-site fiber as an under-recognized constraint alongside power, land, water, and chips. The association also summarized its own research as estimating that the United States needs 2.3 times more fiber to support AI performance, scalability, and security. That is the association’s estimate, not a universal or independently established requirement for every region.
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What makes an interconnect suitable?
- Bandwidth: Enough capacity for the traffic the facility must send and receive, including traffic between sites.
- Latency: The time data takes to travel, which matters differently for a site serving nearby users than for a remote training cluster.
- Route diversity and redundancy: Separate routes and backup paths can reduce reliance on a single fiber route or point of failure.
- Geographic reach: The available paths must connect the facility to its users, partner facilities, and other required network locations.
- Ownership and service model: Operators may rely on managed network services, infrastructure they own, or a combination. The right approach depends on control, availability, and operating needs.
A fiber optic cable or patch lead connects equipment over a short, defined span. It does not create regional route capacity, provide diverse carrier paths, or replace a managed data-center-interconnect service.
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Why power, cooling, and interconnect have to be planned together
These constraints interact. A location with available power but inadequate fiber may not suit a workload that depends on rapid exchange with other sites or users. A well-connected site can still be infeasible if grid upgrades take too long, while a high-density compute plan affects the cooling system and the electricity needed to run it. Retrofitting a legacy facility can also constrain the rack density and cooling options available.
For operators, the practical question is not simply where land is available, but which combination of grid capacity, connection timing, cooling design, and network routes can support the intended workload. For planners, it is whether generation, grid equipment, fiber routes, and approvals can keep pace with concentrated demand. The IEA captured the relationship in its 2025 executive summary: “There is no AI without energy; at the same time, AI has the potential to transform the energy sector.” The quotation is the IEA’s institutional statement, not a named individual’s remark.
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