Full Breakdown
AI Workloads Set to Lift Global Data-Centre Power Use 26% in 2026
6/13/2026, 1:37:21 AM
AI-Driven Surge in Data-Centre Electricity Demand
Gartner forecasts global data-centre electricity consumption at 565 TWh in 2026, up 26 % from 447 TWh in 2025. Power demand is expected to rise from 104 GW to 132 GW in the same period, with a projected 290 GW by 2030 as enterprises and hyperscalers expand AI infrastructure.
AI Workloads and Power Availability
Generative-AI models and agentic workloads are the primary drivers of the demand spike. Gartner analysts say rapid AI scaling is turning reliable electricity into a decisive factor for deployment speed and site choice, making power a new competitive frontier.
Quantitative Outlook
AI-optimised servers are projected to use 175 TWh in 2026—an 84 % rise—accounting for about one-third of total consumption. Conventional servers will stay near 195 TWh. Cooling and related infrastructure will need 195 TWh, a 23 % increase. Cumulative data-centre electricity use could top 1,200 TWh by 2030, straining existing grids.
Strategic Implications for Infrastructure
Power constraints now shape data-centre siting. Operators are urged to deploy high-efficiency cooling, improve utilisation, and expand edge-computing to shift load from congested hubs. Securing long-term grid access and boosting overall energy-efficiency are deemed essential for sustainable AI growth.
Official Statements from Gartner
Linglan Wang frames power security as “the new battleground for scaling and protecting margins in the global AI race.” Gartner advises infrastructure leaders to prioritise efficiency upgrades, lock in reliable grid connections, and invest in advanced cooling and edge-computing to ease emerging power bottlenecks.
Critical Perspectives on Energy Constraints
Industry observers warn that AI market competitiveness may depend as much on reliable energy as on chip advances. They flag the risk that inadequate grid capacity could delay data-centre builds and curb AI rollout.
Verbatim Quotes
- “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 battleground for scaling and protecting margins in the global AI race,” — Linglan Wang, Director Analyst, Gartner
- “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,” — Linglan Wang, Director Analyst, Gartner
- “Linglan Wang, Director Analyst at Gartner, noted that power availability is emerging as a key constraint on AI infrastructure expansion, with access to reliable electricity becoming a critical factor in determining how quickly organisations can scale AI deployments.” — Linglan Wang, Director Analyst, Gartner
- “Industry observers note that future competitiveness in the AI market may depend as much on access to energy and infrastructure as on advances in computing technology itself.” — Industry observers
Outlook and Recommendations
Gartner urges operators to accelerate high-efficiency cooling, raise utilisation, and embed edge nodes. Ongoing monitoring of grid capacity and securing long-term power contracts are recommended to protect AI-driven expansion through the next decade.
