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Hyperscale data centres can expand Canada’s capacity for cloud computing, AI, research and public services, but announced megawatts are not the same as facilities already powered and operating. Whether new projects strengthen digital infrastructure without shifting costs or environmental burdens onto nearby communities depends on power-system planning, water and emissions choices, Indigenous participation, project readiness and transparent local benefits.
What is a hyperscale data centre?
A data centre houses computing, storage, networking and security capabilities used by cloud services, government, scientific research and organizations that need to store or protect critical data. “Hyperscale” generally describes development at very large scale, often designed to expand as demand grows. In Canada’s current federal process for large-scale sovereign AI data centres, the threshold was a total planned capacity greater than 100 MW; that is a program criterion, not a universal definition of every hyperscale facility.
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Capacity figures also need context. A project’s IT load—the power used by its computing equipment—is not necessarily the same as the total electricity its facility draws or the capacity a utility must make available. When a project announcement gives a megawatt figure, check what that number measures and whether it describes a proposed, planned, connected or operating facility.
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Why is Canada building more data centres?
More domestic computing capacity can give Canadian researchers, businesses and public institutions greater access to compute. It may also help keep critical computing capabilities and data in Canada, supporting sovereignty and Canadian control over how sensitive information is governed. Those are potential benefits, not automatic outcomes: a facility’s location alone does not establish who controls the service, where data is stored, or which legal and contractual protections apply.
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The federal government’s 2026 large-scale sovereign AI data centre proposal process reflected that broader goal. It sought projects with more than 100 MW of total planned capacity and assessed economic and ecosystem benefits, Indigenous participation, sovereignty, energy, performance, readiness, cost and project structure. The intake ran from January 15 to February 15, 2026, and is closed. Its criteria indicate federal priorities; they are not construction approvals or confirmation that any application will be built.
Budget 2025 also set out a proposed $925.6 million over five years, starting in 2025–26, in the context of large-scale sovereign public AI infrastructure. That is a federal budget proposal or commitment context, not funding assigned to a particular data centre project.
How much electricity could AI data centres use?
AI computing can require substantial electricity, but the available national figure is a long-range scenario, not a measurement of current consumption or a guaranteed forecast. In its 2026 Higher Scenario, the Canada Energy Regulator assumes Canadian data centre load reaches 12 GW by 2050. In that same scenario, data centre load accounts for about 100 TWh—roughly one-third—of projected growth in end-use electricity demand.
The figures below refer to different kinds of evidence and should not be added together or treated as equivalent. The Saskatchewan numbers are project estimates announced by the federal government; the national figures are assumptions in a regulator’s scenario.
| Figure | What it describes | Source and qualification |
|---|---|---|
| More than 100 MW | Threshold for total planned capacity in the federal large-scale sovereign AI data centre proposal process | Innovation, Science and Economic Development Canada, 2026; application criterion, not operating capacity |
| Up to 900 MW of new capacity; potential 1.2 GW hub | Planned expansion and potential provincial AI infrastructure hub in Saskatchewan | Government of Canada, September 2026 Bell announcement; announced plans, not evidence of capacity already operating |
| Up to $52.5 billion; 4,500 jobs | Total capital investment and jobs described in connection with the Saskatchewan announcement | Government of Canada, September 2026 Bell announcement; announced estimates |
| 12 GW by 2050; about 100 TWh and roughly one-third of demand growth | Canadian data centre load and its share of projected end-use electricity demand growth | Canada Energy Regulator, 2026 Higher Scenario; scenario assumptions, not a certain forecast |
| $925.6 million over five years, starting in 2025–26 | Federal support context for large-scale sovereign public AI infrastructure | Department of Finance Canada, Budget 2025; proposal/commitment context, not project-level funding |
Where are Canada’s data centres being built?
The available federal project announcements point to planned activity in Saskatchewan and British Columbia, but they do not provide a complete, comparable inventory of Canadian hyperscale capacity by province. Nor do they consistently establish which facilities are operating, under construction, announced or proposed. A province named in an announcement is not proof that the announced capacity has been connected to the grid or commissioned.
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Saskatchewan: a large announced expansion
A September 2026 Government of Canada announcement described Bell plans for up to 900 MW of new Saskatchewan capacity and a possible 1.2 GW provincial AI infrastructure hub. The announcement also cited up to $52.5 billion in total capital investment and 4,500 jobs. These are announced project estimates and potential capacity, not verified operating results.
British Columbia: a proposed project under engagement
A May 2026 federal release described work with TELUS on a proposed large-scale AI data centre in British Columbia, including engagement and possible future collaboration. The release explicitly said that no funding had yet been committed or distributed under that initiative. It therefore should not be described as a funded, completed or operating facility.
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A large new electricity load can affect the wider system through the generation and grid capacity needed to serve it. Canada’s Responsible Data Centre Development Principles say developers should account for the electricity-system costs caused by their projects rather than transfer those costs to households and existing businesses. That principle makes the allocation of costs a core project question, not a detail to infer from a headline investment figure.
For a project to align with that approach, its plans should make clear how it will secure power, what grid or generation upgrades may be needed, and who will pay for them. The principles also call for prioritizing low-emission energy. A claim that a facility will use clean power is most useful when readers can see what supply is planned and how the project’s electricity needs fit into the local system; the announcements summarized here do not provide a comparable project-by-project account of those details.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What do responsible projects need to address beyond electricity?
Water and environmental impacts
The federal principles call for minimizing water use and environmental impacts, and identify closed-loop or high-efficiency water technologies, waste-heat recovery and low-emission energy as approaches to prioritize. A project assessment should make its water and cooling approach understandable, including likely local impacts. The available announcements do not establish comparable water-use figures for the projects discussed here.
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Indigenous rights holders and host communities
Early engagement with local governments and Indigenous rights holders is part of the federal principles, and Indigenous participation is also one of the criteria in the sovereign AI proposal process. Meaningful participation should be visible in how a project engages affected rights holders, addresses concerns and shares benefits—not treated as a proxy for general community outreach.
Lasting benefits and transparent reporting
The principles call for lasting local benefits, strategic value to Canada and transparent reporting of local impacts. Employment estimates can help describe a project’s potential, but they do not by themselves show how many jobs are local, how long they last, what procurement opportunities exist or how benefits will be tracked. Communities need project-specific information to assess those questions.
How to assess a proposed hyperscale project
When a company or government announces a large data centre, use these questions to distinguish a credible, locally accountable plan from a headline capacity figure:
- Status: Is the facility proposed, announced, under construction, connected or operating? What milestone supports that label?
- Capacity: Does the figure refer to IT load, total facility demand, planned capacity or a future expansion target?
- Power and costs: What supply is expected, what grid or generation work may be required, and who bears those costs?
- Water and environment: What cooling and water strategy is proposed, and how will local impacts be reported?
- Sovereignty: What Canadian legal protections, data-governance arrangements and operational controls apply to the services and data?
- Readiness: Are power access, approvals, financing, construction milestones and commissioning dates established, or still prospective?
- Participation and value: How are Indigenous rights holders and host communities being engaged, and what lasting local jobs, procurement or other benefits are specified?
These checks matter because the official sources do not establish a standardized, province-wide inventory or comparable provider data for operating capacity, service availability, pricing, water use, power arrangements or commissioning schedules. Without those details, a ranking of Canadian hyperscale providers or projects would imply a level of comparison the evidence does not support.
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