Canada is taking a different approach to building AI infrastructure, designing data centers that prioritize environmental responsibility from the ground up rather than retrofitting sustainability later. Bell Canada has begun construction on a new artificial intelligence data center in Kamloops, British Columbia, as part of its broader Bell AI Fabric project to establish six AI facilities across the province. The facility, expected to be completed in late 2027 and located on the Thompson Rivers University campus, represents a deliberate shift away from the energy-intensive, carbon-heavy data center model that has dominated AI infrastructure development in the United States .

Why Is Canada's Approach to AI Data Centers Different?

The Kamloops facility demonstrates several design choices that distinguish it from typical AI data centers elsewhere. Thompson Rivers University President Airini explained that the project intentionally avoids the environmental pitfalls seen across North America. "This is different than what we have seen across the border in the USA. Historically, AI infrastructure has been messy and has been polluting," Airini stated. The facility will operate under Canadian environmental standards and regulations, which are stricter than many alternatives .

The location itself offers natural advantages. Because Kamloops has a cooler climate compared to other major AI data center hubs, the facility requires minimal mechanical cooling, eliminating the need for large cooling fans that make other data centers noisy and energy-intensive. According to Airini, if a backup generator is needed during a power outage, it will operate at noise levels comparable to a lawnmower, not the industrial roar typical of data center operations .

How Will This Data Center Minimize Its Environmental Impact?

• Hydroelectric Power: The facility will predominantly run on British Columbia's abundant hydroelectric power supply, which generates electricity from renewable sources rather than fossil fuels, significantly reducing the carbon footprint of AI computations performed at the site.
• Closed-Loop Cooling System: Instead of continuously drawing water from local sources for cooling, the data center uses a recycled water system that circulates the same water internally, preventing water depletion and environmental strain on surrounding communities.
• District Energy Integration: Heat generated by the AI data center will be captured and redirected to warm Thompson Rivers University campus buildings during cold months, converting what would normally be wasted thermal energy into a useful resource for the institution.

These design features address a critical tension in AI development: the technology's enormous energy demands versus the urgent need to reduce carbon emissions. Research published in Environmental Sciences Europe found that AI's environmental impact is more complex than commonly assumed. The study, which analyzed AI's effects on carbon emissions and air pollution across multiple time scales, revealed that while AI can reduce air pollution in the long term, its impact on carbon emissions is inconsistent and varies significantly depending on the level of AI deployment .

"We need to have stewardship over our core technologies, our core infrastructure. It's good for resiliency," said John Watson, President of Bell Business Markets and AI Fabric, explaining the rationale behind Canada's distributed AI infrastructure strategy.

John Watson, President of Bell Business Markets and AI Fabric

The Kamloops project is one of six AI data centers Bell is building across British Columbia, part of a larger national expansion. This network approach allows Canada to develop AI capabilities domestically while maintaining control over infrastructure standards and environmental compliance. The project reflects a broader strategic goal: increasing Canadian sovereignty over artificial intelligence technology and ensuring that critical AI infrastructure operates under Canadian laws and environmental expectations rather than being outsourced to jurisdictions with weaker regulations .

What Does This Mean for AI's Environmental Future?

The Kamloops facility represents a proof-of-concept for what responsible AI infrastructure can look like. Airini emphasized the significance of this model: "Our grid in British Columbia really sets us up for something that's really quite different. It sets up a whole new model for AI infrastructure to happen." The combination of renewable energy access, climate-friendly location, and innovative cooling technology creates a template that other regions could potentially replicate .

Airini

However, the broader research on AI and environmental sustainability suggests that infrastructure design alone is insufficient. The Environmental Sciences Europe study found that AI applications show heterogeneous effects on carbon emissions depending on deployment scale and context. In the short term, AI applications had an overall negative effect on carbon emissions, while medium-term impacts were unstable. The research concluded that "AI is generally a clean while not necessarily green technology," meaning that while AI can reduce certain types of pollution, its carbon impact requires careful management at every stage of development and deployment .

The timing of Canada's AI infrastructure investment is significant. As global demand for AI computing power accelerates, decisions made now about where and how that infrastructure is built will shape the environmental trajectory of the technology for years to come. By establishing data centers powered by renewable energy and designed for minimal environmental disruption, Canada is positioning itself as a leader in sustainable AI infrastructure development, contrasting sharply with the energy-intensive facilities that have characterized AI expansion in other regions.