The excavators moved onto the site in July, and Meta broke ground on its first data center in Canada, adding a new country to a North American infrastructure map that the company has been redrawing at an accelerating pace. Industrial Info Resources, which tracks industrial construction, confirmed the start of work, and the project is expected to run for several years as Meta expands the computing capacity behind its AI products.
The Canadian site is Meta’s first in the country, and its significance is as much about geography as about scale. The company already operates a network of data centers across the United States, and the Canadian facility adds a second country to that footprint, providing geographic redundancy that protects against regional failures and offering access to an energy source that has become the industry’s most sought-after asset: Canada’s abundant hydroelectric power.
The scale of the industry’s construction is difficult to overstate. The largest computing platforms are collectively investing hundreds of billions of dollars a year in new capacity, according to industry estimates, and the constraint on that spending has shifted from the supply of chips to the supply of everything around the chips: land, power, water and the time it takes to build. Meta’s Canadian project sits inside that buildout, and its value to the company will be measured not in the size of a single facility but in what the location provides that other sites cannot: committed clean power and a second country in which to run its services.
The power question explains the location choices of the hyperscalers. Data centers have become among the largest consumers of electricity in the world, and the constraint on AI expansion is no longer chips or capital but power. Canadian provinces with hydroelectric capacity have been marketing themselves to technology companies for years, and the draw has been working: Google and Microsoft both operate substantial Canadian infrastructure, and Meta’s arrival completes a sweep of the region’s largest American clouds.
The redundancy argument is equally practical. Companies running global AI services cannot afford a single point of failure, and the distribution of data centers across countries, power grids and weather patterns has become standard practice for the platforms that serve billions of users. Canada, with its climate, its energy mix and its proximity to the U.S. population centers, offers a combination that few other locations match.
The energy dimension has also become a competitive one. Companies that control access to power control access to AI capacity, and the hyperscalers have been locking up energy through direct deals with utilities, investments in generation and agreements with the operators of large hydroelectric systems. The Canadian provinces with the deepest hydro reserves have become the most sought-after locations in the industry’s site selection, and the flow of projects, Google’s, Microsoft’s and now Meta’s, has turned the region into a test of how fast a country can convert abundant electricity into AI infrastructure.
The project is part of a broader investment wave that has become the defining feature of the AI industry. The large computing companies are building their own facilities at a scale that was unthinkable a few years ago, committing tens of billions of dollars annually to data center construction, and the buildout has become a competitive arms race in which capacity is treated as a strategic weapon. Meta’s spending has followed that pattern, with capital expenditures climbing as the company races to serve the inference and training demand of its AI products.
The Canadian investment also carries a political dimension. Data center construction has become a matter of national industrial policy across North America, with governments competing to attract facilities through energy policy, tax treatment and permitting reform. Canada’s federal and provincial governments have been courting the hyperscalers explicitly, and Meta’s project is the largest sign yet that the courtship is producing results.
The economics of the project will play out over a long horizon. Data centers are built for decades, with the early years of a facility’s life devoted to filling the space with servers as demand grows, and the Canadian site will be measured in that longer frame. For the local economy, the construction phase brings jobs and contracts; for Meta, the value comes in the form of committed power, redundant capacity and a hedge against the concentration of its infrastructure in a single country.
The industry context is the part that gives the project its weight. The AI buildout has shifted from a scramble to secure chips to a contest for the things chips need: land, power and time to construction. Every major computing company is investing in the same direction, and Meta’s Canadian entry is a marker of how far the buildout has spread. The company that a decade ago ran its services largely on rented infrastructure now breaks ground in a new country, and the pattern shows no sign of slowing. The next sites are already being scouted, and the competition for the industry’s most constrained resource, electricity, will only intensify.
