Europe’s plans to expand data-centre capacity by 2030 could create investment opportunities beyond its established technology markets, including in countries with available land, renewable energy potential and access to EU markets. Serbia could be assessed against these criteria, although MAT’s report does not provide figures for the country’s existing data-centre capacity, project pipeline, available grid connections or water resources.
The absence of these details means that Serbia’s position as a potential AI infrastructure destination cannot be established from the report. Its analysis instead identifies the main conditions that would determine whether the country could accommodate large-scale computing facilities.
Electricity Supply and Grid Connections
Reliable electricity is the first requirement for AI data centres, whose consumption patterns resemble those of industrial facilities more than conventional office buildings. These installations require substantial, continuous power loads and a supply system capable of meeting demand without affecting other electricity users.
Grid availability is a separate constraint. MAT cites estimates that network bottlenecks could delay around 20% of planned data-centre projects worldwide. The existence of renewable energy projects does not necessarily mean that sufficient capacity is available through a firm connection at the location required by a prospective investor. For Serbia, the availability of suitable substations, transformers and transmission infrastructure would therefore be central to assessing potential data-centre locations.
Low-Carbon Power and Water Availability
The composition of electricity supply is another factor in the competitiveness of data-centre investments. Europe’s plans rely partly on renewable and nuclear generation to cover a significant share of the additional electricity demand expected from the sector.
In Serbia, the same requirements would make low-carbon electricity supply contracts, new renewable generation, storage capacity and grid reinforcement relevant to digital infrastructure investment, as well as to conventional industrial development.
Water availability also needs to be considered. Cooling requirements vary according to the technology used, while local climate conditions and water stress can influence whether a data-centre project is environmentally and politically acceptable.
Infrastructure Requirements Shape AI Investment Prospects
Competition for AI infrastructure extends beyond software skills, tax incentives and sovereign cloud policies. The physical requirements include available megawatts, substations, transformers, transmission corridors and cooling systems.
Serbia’s potential would need to be assessed at individual grid locations, taking into account whether high-load digital facilities could be connected without creating additional pressure on the electricity system.
Europe’s planned expansion of computing capacity, as it seeks to narrow the gap with the United States and China, provides the broader context for this assessment. For Serbia, establishing the infrastructure conditions needed to support data centres would be central to evaluating its possible role in the European AI market.
