A compact reading room of verified official sources, with dates, context and limitations. Reviewed 13 November 2026.
The IEA estimates global data-centre electricity consumption at 485 TWh in 2025 and projects around 950 TWh in 2030. This includes all data centres, not only AI workloads.
The 2030 figure is a projection, not an observed outcome. Growth depends on deployment, efficiency, financing and infrastructure bottlenecks. A global annual total does not describe the constraints at a particular site.
Practical implication: make assumptions visible, distinguish peak power from annual energy, and assess the local system before inferring capacity or supply readiness.
The 2026 report updates the energy and AI outlook. The executive summary estimates 485 TWh of data-centre electricity demand in 2025 and projects around 950 TWh in 2030. These figures cover all data centres, not AI alone.
Source context: High; primary report. Projection, not a measured 2030 outcome.
Read original source →Highlights grid and supply-chain bottlenecks, data fragmentation and digital skills as barriers. AI can support equipment monitoring and better use of existing grid capacity.
Source context: High; primary analysis. Outcomes depend on adoption and local conditions.
Read original source →Describes modular AI-enabled utility software spanning planning, operations and asset management.
Source context: High for announced capabilities; vendor account, not independent validation.
Read original source →Describes an open, interoperable grid platform, shared models and links between planning and operations.
Source context: High for product positioning; vendor claims.
Read original source →Describes grid orchestration, federated data, AI/ML applications and hybrid-cloud architecture.
Source context: High for product positioning; vendor claims.
Read original source →