Eighty-one per cent of Canadians are worried that AI data centres will hurt their wallets and the planet.
The finding comes from a recent Leger poll, which highlights rising concerns about the environmental and economic impacts of these massive facilities. These data centres house the servers that power AI, machine learning, and other technologies, but they also guzzle massive amounts of energy and water.
A Wake-Up Call for Canada’s Environment
Canada is home to a rapidly growing number of data centre sites, many of which are built in areas with limited water resources. For instance, Google’s data centre in Burnaby, British Columbia, uses enough water to supply a small town every year. Similarly, Amazon’s data centre in Ontario draws millions of litres of water daily for cooling purposes.
As AI continues to expand, so too will the number of data centres required to support it. This has sparked fears among Canadians that their power bills will skyrocket, and the environment will suffer as a result. “It’s a concern that many of us are not taking seriously enough,” says Marcel Lauzière, a Canadian environmental scientist. “We need to start thinking about the long-term consequences of our actions.”
The Human Cost of AI Infrastructure
Data centres are not just a distant concern; they have real-world implications. For instance, the water usage associated with these facilities can put pressure on local water supplies, impacting residents and businesses alike. This is particularly true in areas with already strained water resources.
What this means: Canadians can expect to see increased scrutiny of data centre development in their communities, with a focus on finding more sustainable and environmentally-friendly solutions. As AI continues to transform our lives, it’s essential to consider the human cost of its supporting infrastructure.
A Call to Action
As concerns about data centre impacts grow, so too must the conversation around sustainable development and environmental responsibility. Canadians are right to worry about the consequences of AI, and it’s time for policymakers, industry leaders, and individuals to take action.
