Canadians right to be leery of AI data centres
At the beginning of this year, like most Canadians, I would have been unable to explain what a hyperscale AI data centre is — a sprawling, energy-guzzling facility used for […]
Most Canadians were once unfamiliar with the concept of a hyperscale AI data centre, described as sprawling, energy-intensive facilities used for AI training and operations. This changed in March when Bell announced plans to construct the largest such data centre near Regina, where the reporter resides. Initially, public reaction was a blend of confusion and concern, but those well-versed in the matter pointed to similar protests in the United States, where data centre expansion has sparked a nationwide backlash.
Concerns over soaring electricity rates, water scarcity, noise, and general anxiety about AI impacts contributed to communities opposing these projects. As a policy researcher in Canada, the reporter believes the U.S. experience offers valuable lessons. Canada, still in the early stages of its data centre boom, has the opportunity to regulate development to protect public interest before making the same mistakes as the U.S. However, Canadian governments are failing to do so.
Many data centres are being proposed without clear regulation, often growing too large and generating public opposition comparable to U.S. cases. The federal and provincial governments have issued guidelines for responsible development, but they lack binding rules. While some Canadian projects are opting for less water-intensive cooling systems, none of the improvements stem from effective policy leadership.
The window of opportunity to regulate data centre development in the public interest is closing quickly. Canada has a chance to learn from U.S. experiences and avoid similar mistakes, but ignoring those lessons could lead to negative consequences.
Written by urgent.news from Winnipeg Free Press's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
