Digital2060
Connecting AI Infrastructure to Power and Place

Power availability now dictates where many AI data center projects can move from proposal to construction. Large computing loads can push projects beyond the capacity of familiar metropolitan clusters, making grid access a development constraint rather than a late-stage engineering check. A low-cost site has little appeal if connection capacity is uncertain or delivery dates depend on major network works. Buyers need a development partner that can assess power feasibility early enough to prevent land commitments from outrunning electrical reality. Site economics have also changed as AI facilities grow larger and capital shifts toward compute equipment. Land outside traditional data center hubs can make financial sense, but a lower purchase price does not compensate for weak fiber access or a difficult power path. Development teams need a clear view of how site cost interacts with connection timing and buildable capacity. That assessment should happen before design assumptions harden. It is also useful to distinguish between sites that can support incremental expansion and those suited to very large loads without forcing expensive rework later. Local acceptance can delay an otherwise credible site. Municipalities may have concerns about land use and infrastructure pressure, while project sponsors need clarity on permitting expectations and what a territory is prepared to host. The development partner has to translate project scale into terms local authorities can assess without turning the process into a sales exercise. Early alignment matters because a territory prepared for a smaller facility can lose confidence when presented with a much larger power request. Productive development starts when each side enters the discussion with realistic parameters. “Digital2060 has managed more than 2 GW of grid connections in France over the past 24 months and has experience with high-voltage connections ranging from 225 kV to 400 kV.” Technical readiness is only part of the decision. Large AI projects require specialist contributors whose work must fit the site, grid path, permitting sequence and construction schedule. A partner that merely introduces architects or engineering firms leaves the buyer to assemble the development chain alone. Better support means identifying the right external specialists for the project and keeping their work tied to the same schedule. That reduces the risk of design work advancing while power or approvals remain unresolved. Connection certainty should also be judged by process rather than headline capacity. Very large facilities may require transmission-level connections that differ materially from the distribution work familiar to many development teams. The buyer needs evidence that a partner understands the utility sequence for securing capacity and the dependencies that can move a delivery date. It should also distinguish between power that appears technically feasible and capacity that has reached a meaningful stage in the connection process. Digital2060 works on large-scale data center projects in France where grid connection and territorial readiness are critical to development. It has managed more than 2 GW of grid connections in France over the past 24 months and has experience with high-voltage connections ranging from 225 kV to 400 kV. Its role also includes helping clients engage with local authorities and bringing together the architects, engineering companies, and permitting specialists needed for each project. Rather than providing these services itself, Digital2060 identifies and coordinates the right specialists for each need. The company operates with a five-person team of industry veterans, while its AI-native processes and closed database covering fiber optics, risks, and data center developments across Europe support its ability to handle a broad range of work. ...Read more