Make energy systems
more responsive.
Explore forecasting, asset diagnostics, grid visibility and flexible demand — with data quality and human oversight at the centre.
Explore AI applications →ENERGY INTELLIGENCE · GLOBAL PERSPECTIVE
Smarter energy.
Powered by AI.
Where intelligent energy systems meet the infrastructure behind artificial intelligence.
Research. Real-world applications. Transparent planning.TWO SIDES. ONE CONNECTED OPPORTUNITY.
AI for energy.
Energy for AI.
Better decisions start with understanding both the intelligence improving energy operations and the electricity needed to run AI.
Make energy systems
Make AI’s energy
requirements visible.
Connect IT load, utilisation, cooling overhead and electricity assumptions before developing an infrastructure brief.
Open the scenario planner →FROM ASSETS TO DECISIONS
A practical view of
the connected energy system.
Grid intelligence
Network visibility, planning and operational decision support.
Flexible energy
Renewables, storage and demand that can respond to system needs.
AI infrastructure
Power, cooling and the digital workloads they support.
RESEARCH WITH CONTEXT
Understand the scale.
Question the assumptions.
Selected primary sources, dated and explained. Projections are scenarios, not promises.
415 TWhEstimated global data centre electricity consumption in 2024.
945 TWhIEA Base Case projection for 2030, published April 2025.
These figures cover all data centres, not AI alone. Local grid constraints can matter more than global totals.
Read the evidence & limitations →Source: IEA, Energy and AI (10 April 2025). These are historical estimates and a published scenario, not live data.
START WITH YOUR ASSUMPTIONS
What could your energy
scenario look like?
Compare a baseline and an efficiency case. Export a clear planning brief.
World Energy AI is an independent concept demonstration for research and planning. Illustrative applications are not services currently supplied.
Explore the platform vision →