Artificial intelligence is rapidly becoming part of everyday life, from search and automation to content creation and industry. But behind every AI interaction lies something less visible: energy. As AI adoption accelerates, a new question is emerging across Europe: can the energy system keep up?
AI’s growing appetite for electricity
AI systems rely on data centres: large-scale facilities that process, store, and transmit vast amounts of data. These centres already consume significant amounts of electricity, and demand is rising quickly.
According to the International Energy Agency, data centres, AI, and cryptocurrencies together accounted for around 2-3% of global electricity demand in recent years, with strong growth expected (Source: IEA, 2024).
Meanwhile, Goldman Sachs estimates that global data centre power demand could grow by up to 160% by 2030, driven largely by AI workloads (Source: Goldman Sachs Research, 2024).
This makes AI not just a digital issue, but an energy one.
Why Europe could feel the pressure more
Europe faces a unique challenge. Unlike some other regions, it is simultaneously:
- decarbonising its energy system
- electrifying transport and heating
- and now scaling digital infrastructure
All of this increases electricity demand, often in the same regions.
A report by McKinsey & Company highlights that European power demand could rise significantly by 2030 due to electrification and digitalisation trends (Source: McKinsey, 2023).
At the same time, grid expansion is not always keeping pace.
The grid challenge: capacity and location
The issue is not just how much energy is needed, but where and when it is needed.
Data centres:
- require constant, reliable power
- are often concentrated in specific regions
- can place sudden strain on local grids
The European Commission has already identified grid capacity constraints and slow infrastructure development as key barriers to the energy transition.
In some cases, new data centre projects are delayed because the local grid cannot support additional demand.
A balancing act: growth vs. sustainability
AI creates a paradox.
On one hand:
- it increases electricity demand
- it adds pressure to the system
On the other:
- it can improve efficiency
- optimise energy use
- support smarter grids and forecasting
According to the World Economic Forum, AI could play a critical role in improving energy efficiency and accelerating decarbonisation if deployed effectively (Source: WEF, 2024).
So the question is not whether AI is “good” or “bad” for the energy system, but how it is integrated.
What is Europe doing about it?
The EU is already working on several fronts to prepare its energy system for rising demand:
- investing in grid expansion and modernisation
- improving cross-border energy flows
- supporting more flexible and digital energy systems
These efforts are closely linked to the goals of Fit for 55, which aim to reduce emissions while maintaining a stable and secure energy system. But timing is critical. Infrastructure development takes years, while AI adoption is happening now.
The risk: local bottlenecks, not system collapse
It is unlikely that AI alone will “break” Europe’s energy system.
The more realistic risk is localised pressure:
- overloaded grids in high-demand areas
- delays in new infrastructure
- increased competition for clean electricity
In other words, the challenge is not a single tipping point, but many smaller bottlenecks.
Conclusion
AI is becoming a powerful new driver of electricity demand, one that Europe must integrate into an already complex energy transition. The system is not unprepared, but it is under pressure.
And the outcome will depend on how well Europe can:
- expand its infrastructure
- manage demand
- and align digital growth with energy realities
Because in the end, the question is not whether AI will use energy, but whether the system can evolve fast enough to support it.
