Bottom line: It is not a lack of demand or capital, but limited execution capacity in grid connections, skilled labour and construction firms that is delaying Europe’s AI gigafactories by years.
The EU is planning five AI gigafactories with €20 billion in funding, but wait times of seven to ten years for secured power connections in Germany are realistically pushing the start of operations to 2033 at the earliest. The public debate about demand and economic viability thus overlooks the actual bottleneck: insufficient execution capacity among grid operators, planners and construction companies.
The European Union intends to build five gigafactories for Artificial Intelligence with a funding volume of €20 billion. However, based on the current state of Germany’s power grid, projects must expect wait times of seven to ten years for a secured grid connection. Even with an immediate start of planning, the first facility would not be operational before 2033 at the earliest. Industry representatives have recently warned—among others in Handelsblatt on 10 May 2025—of overcapacity and a lack of economic viability for these projects. Market data contradicts this: according to the annual “Data Centre Truths” report by BCS Consultancy, which surveyed more than 3,000 industry participants from 41 countries, 93 percent of respondents expect demand to continue rising.
According to the report, the real obstacle does not lie on the demand side but in operational execution. Fully financed and approved data centre projects with signed supplier contracts regularly fail at the same points: grid operators cannot meet contractually guaranteed power supply commitments, late planning changes—for example in cooling technology—run into increasingly long delivery times for large equipment, and established general contractors are fully booked while local construction firms lack the specialist expertise for such projects. According to the report, one construction project in the Frankfurt area also failed due to a lack of dialogue with a local citizens’ initiative.
For executive teams planning their own data centre or AI infrastructure projects in Germany or the EU, this means: capital availability and political announcements are not reliable indicators of implementation timelines. Realistic schedules must factor in bottlenecks in grid connection, skilled personnel and approval processes, not just financing issues.
Two figures illustrate the growing imbalance between capital and execution capability: 95 percent of the experts surveyed by BCS Consultancy expect the supply of qualified skilled workers to continue declining, and half of developers already report milestone delays in ongoing projects. By contrast, according to the “State of European Data Centres 2026” report by the European Data Centre Association (EUDCA), investment momentum is rising significantly from €7.7 billion in 2024.
Source: www.it-daily.net · Published 20 August 2026
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