TL;DR · 30-second read
The Short Version
SoftBank, the Japanese investment giant, is backing a plan to build huge computer centers for artificial intelligence in France. At full size, they could draw about as much electricity as five large nuclear reactors produce.
Running flat out all year, they would use roughly a tenth of the electricity France consumes today.
The hard part is not announcing a plan this big. It is securing the power lines, the land and the lenders needed to make it real.
White & Case said in an announcement published June 4, 2026, that it advised SoftBank Group on an investment to build 5 gigawatts (GW) of AI data center capacity in France. A gigawatt is 1,000 megawatts, roughly the output of one large nuclear reactor.
Executive Summary
SoftBank Group, the Japanese technology investor, is putting capital behind 5 GW of AI data center capacity in France. That scale ranks the plan among the largest AI data center plans in Europe and makes it a significant test of how much AI computing the country can host.
The number matters because data center capacity is measured by the electricity a facility can draw. A 5 GW target is therefore also a claim on high-voltage connections, substations and suitable land, as well as on the capital needed to pay for them.
The central question is whether grid access, sites and financing can support that scale on a workable timetable. Power comes first because the other two depend on it heavily: a site without a firm connection has limited value, and a project without secured power is harder to finance.
Why Grid Access Comes First
Simple arithmetic shows the size of the task. If 5 GW ran at full power for all 8,760 hours in a year, it would consume about 43.8 terawatt-hours of electricity. A terawatt-hour is a billion kilowatt-hours, the unit on a household bill scaled up. France consumes roughly 450 terawatt-hours a year, so the theoretical maximum equals about a tenth of national demand. Real use would be lower because data centers do not run at full load all the time, but the comparison shows why this is a national-scale grid question and not just a local planning matter.
France starts from a stronger position than many European markets. Its nuclear-heavy power system produces largely low-carbon electricity, and the country has been a substantial net exporter of power in recent years. But national supply does not guarantee delivery to a specific site. Electricity has to reach each campus through transmission lines and substations, and that connection work must be studied, approved and built. RTE, the French transmission operator, and the equipment supply chain behind it are therefore central to any schedule.
That sequence is the practical reason grid access is the first test. Developers can buy land and order servers, but a facility cannot serve AI workloads at scale until the power arrives. For a plan of this size, the pace at which firm grid capacity becomes available could set the pace of the buildout, and that affects suppliers, future tenants and investors alike.
Sites and Financing Follow the Power
Sites at this scale have to satisfy several requirements at once: proximity to high-voltage infrastructure, enough land, a workable cooling approach, fiber connections and local planning approval. Five gigawatts could be one very large campus or a portfolio spread across several locations, and the choice has real consequences. Concentration can bring economies of scale but places a heavy load on one part of the grid. Dispersal spreads that load but multiplies the permits and construction programs to be managed.
Financing is closely tied to those decisions. Lenders to large infrastructure projects generally look for evidence that the main risks are under control, including secured land, permits, a dated power connection and creditworthy customers. AI data centers add a further variable because the chips inside them can become outdated much faster than the buildings and electrical systems around them. Each of these milestones can improve a project’s access to capital, which is why a capacity figure alone says limited things about how financeable a plan is.
A plan of this size would normally be expected to arrive in phases, not as a single delivery. For anyone assessing it, the useful measures will be energized capacity, signed customers and financing closed for each stage. Those figures show progress in a way a headline total cannot.
What the Plan Means for France and Its Neighbors
If built at or near full scale, the plan could create substantial demand for transformers, switchgear, cooling systems, construction labor and fiber. It could also give European companies more AI computing capacity closer to home, which can matter for latency, meaning the delay in moving data, and for customers with data-location requirements. Some buyers may also weigh the fact that the backer is a non-European investor, though the implications would depend on how the facilities are owned and operated.
The risks are also clear. Large new loads compete with other electricity users, including industry and electrified transport, for grid connections and network upgrades. Local communities may raise questions about land use, water and cooling. And like every AI buildout, this one depends on demand for computing remaining strong enough to fill the capacity once it is complete. None of these issues undercuts the plan on its own, but each will shape how much of the 5 GW is delivered and when.
Background
SoftBank Group is a Japanese technology investor known for its Vision Fund and, more recently, for its role in large-scale AI infrastructure, including the Stargate venture in the United States with OpenAI and Oracle. Its French investment extends that infrastructure focus into Europe.
France has actively sought AI investment, including through the AI Action Summit it hosted in Paris in February 2025. Its main selling point for energy-intensive computing is a nuclear-heavy electricity system with a large supply of low-carbon power, although individual projects still need local grid connections, suitable land and permits. Source: White & Case advises SoftBank Group on investment to build 5GW of AI data center capacity in France, White & Case LLP’s announcement of its advisory role on the investment.Sources