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Datacenter growth may run into a power wall by 2030
Grid operators could struggle to support new bit barn construction Energy consumed by datacenters is set to grow 26 percent this year thanks to AI, and grid supply may be unable to keep pace with demand by 2030, Gartner warns. The research giant expects global datacenter electricity consumption to reach 565 terawatt-hours (TWh) in 2026, as power demand rises from 104 GW in 2025 to 132 GW this year. This is higher than the 500 TWh per year Gartner estimated two years ago that AI-optimized servers would consume by 2027. And as everyone knows by now, the culprit is the ballooning requirement for compute power to drive AI workloads, as fear of missing out (FOMO) drives otherwise sensible companies to throw money at AI projects, despite seldom seeing much of any return on their investment. In fact, Gartner notes that AI-optimized servers are what continue to fuel the increase in datacenter power consumption. This has been reported before, with hyperscalers and other buyers funneling much of their server budgets into heavily configured systems to meet the requirements of AI processing. Now, the firm estimates that AI-optimized servers will account for 31 percent of all datacenter power consumption this year, and that, by next year, their combined power consumption will surpass that of all conventional servers in operation. This matches up with earlier forecasts that AI was on track to overtake all other server workloads - such as databases and analytics - and become the top workload by server deployment by 2027. But this continued expansion points to a worrying forecast. Total datacenter electricity consumption is estimated by Gartner to pass 1,200 TWh by 2030, and it says that grid supply may be insufficient to support additional datacenter capacity. There have been earlier warnings about the bit barn energy demands outpacing the capacity of the grid to deliver. Goldman Sachs estimated that their combined energy use would more than double by the end of the decade, but if Gartner's figures are correct, demand is already higher than where that report estimated it would be for 2027. Energy infrastructure biz Schneider Electric also published four scenarios for future electricity consumption by AI datacenters at the start of last year, but Gartner's latest estimate for total datacenter electricity demand in 2030 surpasses even Schneider's most aggressive forecast. Power grid operators and datacenter developers in the US in particular are in a bind, as The Register reported recently, and energy analysts can't see an easy way out. "Surging demand for compute-intensive AI workloads is driving unprecedented datacenter power growth, while AI capacity is now constrained by power availability, making datacenter power security the new battle ground for scaling and protecting margins in the global AI race," commented Gartner director analyst Linglan Wang. But can anything be done to mitigate this coming power apocalypse? "Infrastructure and operations (I&O) leaders must prioritize efficiency upgrades and secure grid access. They also need to invest in high-efficiency cooling systems and edge computing to mitigate power constraints and ensure sustainable, scalable growth," Wang said, helpfully. ®
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Datacentre Power Use set to Surge 26% in 2026: Gartner
Worldwide data center power demand is expected to rise 27% in 2026 and reach 132 gigawatts Electricity consumption for data centers worldwide is projected to grow 26% in 2026, says Gartner. The research firm forecasts that global data center electricity consumption to reach 565 terawatt hours (TWh) in 2026, up from 447TWh in 2025. "Surging demand for compute-intensive AI workloads is driving unprecedented data center power growth, while AI capacity is now constrained by power availability, making data center power security the new battle ground for scaling and protecting margins in the global AI race," said Linglan Wang, Director Analyst at Gartner. Worldwide data center power demand is expected to rise 27% in 2026 and reach 132 gigawatts (GW), up from 104GW in 2025. It is estimated to attain 290GW by 2030, which reflects the unprecedented scale and pace of GenAI boosting demand. AI-optimized servers continue to fuel the increase in data center power consumption. Gartner estimates AI-optimized server adoption will account for 31% of data center power consumption in 2026, and that by 2027 their power consumption will surpass that of conventional servers (see Figure 1). Figure 1: Data Center Electricity Consumption by Segment, Worldwide, 2025-2027 (Electricity Consumption - TWh) Segment 2025 2025 Growth (%) 2026 2026 Growth (%) 2027 2027 Growth (%) Conventional Server 193 0.9 195 1.2 200 2.4 AI-Optimized Server 95 83.6 175 84.2 258 47.8 Cooling and other Infrastructure 159 10.5 195 22.6 243 24.6 All Data Center Power Consumption 447 15.5 565 26.4 702 24.1 The numbers may not add up to totals shown due to rounding. Source: Gartner (June 2026) Energy-Constrained Future With data center power electricity consumption estimated to reach over 1,200TWh by 2030, grid supply will be insufficient to meet the demands of future data center construction, affecting all data center users. "Infrastructure and operations (I&O) leaders must prioritize efficiency upgrades and secure grid access. They also need to invest in high-efficiency cooling systems and edge computing to mitigate power constraints and ensure sustainable, scalable growth," said Wang.
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Data Center Power Use set to Surge 26% in 2026, Gartner Reports
Electricity consumption for data centers worldwide is projected to grow 26% in 2026, according to Gartner, Inc., a business and technology insights company. Gartner forecasts global data center electricity consumption to reach 565 terawatt hours (TWh) in 2026, up from 447TWh in 2025. "Surging demand for compute-intensive AI workloads is driving unprecedented data center power growth, while AI capacity is now constrained by power availability, making data center power security the new battle ground for scaling and protecting margins in the global AI race," said Linglan Wang, Director Analyst at Gartner. Worldwide data center power demand is expected to rise 27% in 2026 and reach 132 gigawatts (GW), up from 104GW in 2025. It is estimated to attain 290GW by 2030, which reflects the unprecedented scale and pace of GenAI boosting demand. AI-optimized servers continue to fuel the increase in data center power consumption. Gartner estimates AI-optimized server adoption will account for 31% of data center power consumption in 2026, and that by 2027 their power consumption will surpass that of conventional servers (see Figure 1). Figure 1: Data Center Electricity Consumption by Segment, Worldwide, 2025-2027 (Electricity Consumption - TWh) Segment 2025 2025 Growth (%) 2026 2026 Growth (%) 2027 2027 Growth (%) Conventional Server 193 0.9 195 1.2 200 2.4 AI-Optimized Server 95 83.6 175 84.2 258 47.8 Cooling and other Infrastructure 159 10.5 195 22.6 243 24.6 All Data Center Power Consumption 447 15.5 565 26.4 702 24.1 The numbers may not add up to totals shown due to rounding. Source: Gartner (June 2026) Energy-Constrained Future With data center power electricity consumption estimated to reach over 1,200TWh by 2030, grid supply will be insufficient to meet the demands of future data center construction, affecting all data center users. "Infrastructure and operations (I&O) leaders must prioritize efficiency upgrades and secure grid access. They also need to invest in high-efficiency cooling systems and edge computing to mitigate power constraints and ensure sustainable, scalable growth," said Wang.
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Gartner forecasts global data center electricity consumption will reach 565 terawatt-hours in 2026, a 26% increase driven by AI workloads. AI-optimized servers will account for 31% of datacenter power consumption this year, and by 2027, their combined power use will surpass conventional servers. With demand projected to exceed 1,200 TWh by 2030, grid supply may be insufficient to support new datacenter construction.

Datacenter power consumption is accelerating at an alarming rate, with Gartner forecasting a 26% increase in 2026 as AI workloads place unprecedented demands on global energy infrastructure
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. Global data center electricity consumption is expected to reach 565 terawatt-hours (TWh) in 2026, up from 447 TWh in 20253
. This figure already exceeds the 500 TWh per year Gartner estimated two years ago that AI-optimized servers would consume by 20271
. The surge in data center power use stems from companies racing to deploy compute-intensive workloads, often driven by fear of missing out on AI opportunities despite uncertain returns on investment.AI-optimized servers continue to fuel the increase in datacenter power consumption, with Gartner estimating they will account for 31% of all data center power consumption in 2026
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. More significantly, by 2027, the power consumption of AI-optimized servers will surpass that of all conventional servers in operation1
. The data reveals a stark shift in the datacenter landscape: conventional server power consumption will grow modestly from 193 TWh in 2025 to just 200 TWh in 2027, representing only 2.4% growth. In contrast, AI-optimized server consumption will explode from 95 TWh to 258 TWh over the same period, reflecting 47.8% growth in 2027 alone3
. Worldwide data center power demand is expected to rise 27% in 2026 and reach 132 gigawatts (GW), up from 104 GW in 2025, with projections showing it will hit 290 GW by 20302
.The trajectory points to a looming crisis. Total datacenter electricity consumption is estimated by Gartner to pass 1,200 TWh by 2030, and grid supply may be insufficient to support additional datacenter capacity
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. This power wall scenario surpasses even the most aggressive forecasts from energy infrastructure firms. Goldman Sachs estimated that combined energy use would more than double by the end of the decade, but Gartner's figures suggest demand is already higher than those 2027 projections1
. Schneider Electric published four scenarios for future electricity consumption by AI datacenters, yet Gartner's latest estimate for 2030 exceeds even Schneider's most aggressive forecast1
. Power grid operators and datacenter developers, particularly in the US, face mounting pressure as energy analysts struggle to identify viable solutions.Related Stories
"Surging demand for compute-intensive AI workloads is driving unprecedented data center power growth, while AI capacity is now constrained by power availability, making data center power security the new battle ground for scaling and protecting margins in the global AI race," said Linglan Wang, Director Analyst at Gartner
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. The power constraints affecting all datacenter users demand immediate action. Infrastructure and operations leaders must prioritize efficiency upgrades and secure grid access, while investing in high-efficiency cooling systems and edge computing to mitigate power constraints and ensure sustainable, scalable growth3
. The challenge extends beyond technical solutions to fundamental questions about whether the AI boom can continue at its current pace without overwhelming energy infrastructure. Organizations racing to deploy AI capabilities must now weigh the availability and cost of power alongside traditional considerations like compute capacity and network connectivity.Summarized by
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