Electricity: The Real Bottleneck for AI Datacenters in Europe
By Lila Benhammou, Co-Founder & CIO — FINXIA Capital
For two years, everyone talked about the GPU shortage. It is not over, but it is no longer the main problem. In Europe, the limiting factor for AI datacenter projects is now the megawatt. In France alone, 18 GW of demand is queued with grid operator RTE. The same holds for most European markets.
A few figures for context. RTE counts roughly 12,000 pending connection requests, representing some 35 GW of additional capacity by 2030. A large share comes from datacenters, which promise far higher revenues per megawatt than traditional industrial uses. Timelines are stretching accordingly: five to seven years in some regions, versus two to three a decade ago.
The contrast is striking. A Blackwell Ultra rack draws 200 kW, and NVIDIA can ship thousands per quarter. Meanwhile, a multi-tens-of-megawatts grid connection in France is negotiated in years. Hardware moves fast, electricity moves slowly. That is the whole difficulty.
Scarcity Is Not Just French
Ireland has suspended a large share of new projects around Dublin, where datacenters already account for more than 20% of national consumption. Amsterdam froze permits for months. Frankfurt is seeing industrial electricity prices rise at a pace operators have never experienced. Everywhere, the same story: demand arrives faster than the grid.
This tension feeds directly into prices. Land with a confirmed connection and a valid permit sells for markedly more than equivalent land without power. The gap can reach several million euros per secured megawatt.
What the Market Actually Pays For
Hyperscalers and colocation operators no longer shop for square meters. They buy dated megawatts. A connected site available in 2027 is worth more than a site twice the size available in 2031. Time has become the dominant variable in financial models.
For investors, this changes how assets should be read. A brownfield datacenter with an existing connection, even a modest one, holds a valuable option: the ability to scale up without going back to the end of the queue.
Our View at FINXIA
We treat the grid connection as the first selection criterion of our TITAN DC AI strategy, ahead of the building and ahead of location. An asset without secured power is not a datacenter in waiting; it is a warehouse waiting.
This is also what makes brown-to-green transformation attractive. Industrial sites often hold connections obtained at a time when nobody was competing for them. Upgrading them costs less than waiting six years for a new one.
Key Takeaways
Three simple ideas. The number one constraint on European AI datacenters is electrical, not computational. Connection timing determines an asset's value as much as its floor area. And this will last, because grid reinforcement is measured in decades, not quarters.
The next indicator to watch: RTE and CRE decisions on connection prioritization. Those rulings, more than GPU announcements, will draw the map of French datacenters in 2030.
Lila Benhammou is Co-Founder and Chief Investment Officer (CIO) of FINXIA Capital SCSp, a Luxembourg proprietary investment vehicle positioned on real assets and AI infrastructure.