Artificial intelligence (AI) is increasingly recognised as a key driver of economic growth, digital transformation, and innovation in Europe and worldwide. Alongside its undeniable benefits, however, the rapid development and large-scale deployment of AI are posing ever more serious challenges to energy systems.
Rising electricity consumption, growing strain on power grids, and the need for sustainable energy solutions are no longer hypothetical scenarios, but real issues on the strategic agenda—both at European and national level.
 
Artificial Intelligence and Growing Energy Consumption
Modern AI models—especially generative AI and large-scale machine learning models—require substantial computational resources and the continuous operation of high-performance infrastructure.

• According to the International Energy Agency (IEA), data centres, cloud services, and AI accounted for around 1.5% of global electricity consumption in 2024.
• Global electricity consumption of data centres is expected to double by 2030, with AI as the main driver of this growth.
• In Europe, data centres consume approximately 90–100 TWh of electricity annually, with projections indicating 150–200 TWh by 2030 under an accelerated AI adoption scenario.
• A single large data centre can have an installed capacity of between 50 and 100 MW—comparable to the electricity consumption of a medium-sized city.

A significant share of this energy is used not only for computation, but also for cooling equipment, further increasing the burden on the power system. This makes AI a major factor in energy policy planning, security of supply, and decarbonisation processes.
 
Impact on Europe’s Energy Systems
The growth of AI is accelerating several key processes in European energy systems:

• increased load on transmission and distribution networks, particularly in regions with a high concentration of data centres;
• the need for investment in new generation capacity, including renewable energy sources;
• development of smart grids and real-time load management systems;
• stronger focus on energy efficiency and sustainability in line with the objectives of the European Green Deal.

At the same time, the European Union is introducing regulatory requirements that increasingly link digitalisation and AI development to climate objectives, including obligations related to reporting on energy efficiency, carbon footprint, and sustainability.
 
What This Means for Bulgaria
For Bulgaria, the impact of AI growth is currently more limited in absolute terms, but the trend is clear and cannot be ignored:

• The country’s total annual electricity consumption is around 35–38 TWh.
• Even a few large data centres with capacities of 30–50 MW could add 0.5–1 TWh of additional annual consumption, which already represents a significant share at national level.
• Bulgaria has a relatively balanced energy mix—nuclear energy provides a stable baseload, while installed renewable capacities (solar and wind) have been growing rapidly in recent years.

This creates a real opportunity for the country to position itself as a location for energy-efficient, low-carbon data centres, provided that targeted investments are made in:

• modernisation of the transmission and distribution grid;
• energy storage systems;
• intelligent load management;
• a clear and predictable regulatory framework for energy-intensive digital activities.

 
AI as Part of the Solution
Paradoxically, AI itself can be part of the solution to the energy challenges it creates. Key benefits include:

• 10–15% more accurate energy demand forecasts through machine learning models;
• optimisation of power grids and reduction of technical losses;
• more efficient integration of renewable energy sources through forecasting of solar and wind generation;
• lower maintenance costs through diagnostics and early fault detection.

This opens the door to real synergy between digitalisation and sustainable energy, provided that AI is deployed responsibly, strategically, and in compliance with regulatory requirements.
 
The growth of artificial intelligence is inevitably transforming energy systems in Europe, including in Bulgaria. The data clearly show that pressure on electricity consumption and power grids will increase, but at the same time significant opportunities for sustainable development are emerging.
For organisations, this means that AI is no longer merely an IT or innovation topic, but a strategic issue directly linked to energy, sustainability, ESG, NIS2, DORA, and the future regulation of AI.
The growth of AI is not just a technological challenge—it is a key factor shaping the future of energy, the economy, and Europe’s competitiveness.