The recent legal challenge by Sturgeon Lake Cree Nation against Alberta’s proposed Wonder Valley AI Data Centre Park project highlights a critical question for Canada’s artificial intelligence future: what are the demands on our land, water, and energy systems? The Wonder Valley project, planned south of Grande Prairie, is being promoted as the world’s largest AI data centre park. Its initial phase is slated to include a 1.4-gigawatt off-grid power system utilizing provincial natural gas and geothermal resources.
This development is emblematic of a larger trend. The federal government’s recent “AI for All” strategy emphasizes AI’s role in economic expansion, job creation, and national competitiveness. It also advocates for increasing “sovereign compute” capabilities and supporting the development of large-scale AI data centres.
AI’s Material Demands
These ambitious AI goals necessitate a serious examination of their environmental implications. While AI is often metaphorically described as residing in “the cloud,” the persistent debates surrounding projects like Wonder Valley expose the limitations of this abstraction. Artificial intelligence is fundamentally dependent on tangible resources: land, electricity, water, cooling infrastructure, transmission networks, natural gas pipelines, minerals, and server hardware.
When these resource requirements become concentrated in specific locations, AI development directly transforms into an environmental and energy concern. My research into environmental communication, particularly the politics of fossil fuel development in Canada, has shown how large-scale projects are frequently framed as drivers of prosperity, national interest, and technological advancement. Observing Alberta’s energy politics closely, the media’s portrayal of the Wonder Valley project’s launch phase revealed a notable pattern of limited coverage for such a significant proposal. The few articles published emphasized the substantial investment and the opportunity to leverage Alberta’s energy resources for a competitive advantage in the AI economy. However, this narrative warrants closer scrutiny.
Resource Consumption and Environmental Impact
AI data centres are industrial facilities operating continuously to support server functions. This continuous operation demands a reliable supply of electricity, effective cooling, and robust backup systems. Projections from the International Energy Agency suggest that global electricity consumption by data centres, largely driven by AI advancements, could more than double by 2030, potentially reaching approximately 945 terawatt-hours.
Water is another critical resource. Depending on their design and location, data centres can consume significant quantities of water directly for cooling or indirectly through the electricity generation process. Reports have raised substantial concerns regarding the expansion of data centres in Canada, particularly when these projects are proposed in regions facing water scarcity or on lands with existing land use disputes.
The primary concern voiced by Sturgeon Lake Cree Nation in their legal action relates to the project’s potential water usage and the government’s obligation to consult Indigenous nations whose rights and territories could be affected. Consequently, the Wonder Valley debate cannot be oversimplified into a narrative of purely economic opportunity. It also involves critical questions about equitable access to water, the reconfiguration of power systems, and the allocation of land and resources for AI infrastructure.
Challenging the ‘Cloud’ Metaphor
The “cloud” metaphor obscures these material dependencies, encouraging a perception of digital services as weightless, clean, and unmoored from specific locations. Researchers of digital infrastructure have long challenged this perspective. Studies on data centres’ substantial water consumption demonstrate how digital systems are intrinsically linked to local ecosystems. Furthermore, analysis indicates that media technologies are never environmentally neutral, relying as they do on extraction, energy consumption, and waste generation.
The concept of the “digital sublime” is also relevant, describing how new technologies are often enveloped in narratives of inevitable transformation and national renewal. Such narratives can elevate infrastructure projects beyond conventional political discourse. The promotional language surrounding Wonder Valley aligns with this pattern. The focus on scale, innovation, and Alberta’s future as an AI hub has, in some instances, led to environmental concerns being downplayed or treated as secondary technical issues.
Data as ‘New Oil’ and Resource Continuity
One of the most telling phrases emerging in discussions of Alberta’s AI ambitions is that “data is the new oil.” While this phrase signals opportunity, suggesting Alberta can leverage its energy expertise, natural gas reserves, climate, and industrial land for AI competitiveness, it also reveals a continuity with existing economic models. The Wonder Valley project is not presented as a departure from Alberta’s fossil fuel economy but rather as an evolution of it, with natural gas positioned to power artificial intelligence. Investigations have shown data centres being discussed as a means to “create new markets for Canadian natural gas producers.”
This development should be a cause for concern. If AI infrastructure becomes a new justification for expanding fossil fuel extraction, the language of innovation risks perpetuating long-standing patterns of resource dependence.
Rethinking AI Infrastructure for Sustainability
Canada requires a comprehensive AI strategy. However, a strategy that promotes data centres without adequately addressing their demands on energy, water, land, and Indigenous rights would be incomplete. Before governments champion AI data centres as economic engines, they must mandate transparent public disclosure of anticipated electricity consumption, water usage, emissions, land impacts, and the processes undertaken for consultation.
Treaty obligations should not be viewed as mere procedural obstacles but as fundamental considerations that shape the feasibility and implementation of projects. The critical challenge for Canada is to determine whether it will pursue AI infrastructure development using the established resource development playbook or seize this moment to establish more robust regulations for a more accountable digital economy.
