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Editorial: Data Centres, Canva, and the Future of Municipal Elections


This year Ontario's municipal election is shaping up to be remembered less for debates over taxes, roads, or even housing than for two forces that, at first glance, seem unrelated but are increasingly intertwined: data centres and artificial intelligence.


One represents the physical infrastructure of the digital economy, with sprawling campuses consuming vast amounts of electricity and water while promising jobs, tax revenue, and economic development. The other represents the software layer quietly transforming political communication, with platforms such as Canva becoming the unlikely headquarters of municipal campaign operations through their ever-expanding suite of AI-powered design and content-generation tools.


Together they will define not simply what municipalities campaign about, but how they campaign, forcing councils, candidates, and voters to grapple with a future where local government is increasingly viewed through the lens of digital infrastructure and algorithmic assistance.


The battle over data centres is no longer confined to provincial planning tables or corporate boardrooms. It is arriving at town halls, council chambers, and community meetings across Ontario. Every municipality looking to attract investment sees the appeal of becoming the next destination for cloud computing infrastructure.


Yet, every proposal raises uncomfortable questions about electrical capacity, land use, environmental impact, emergency planning, and the long-term value returned to residents. Some communities will enthusiastically pursue these projects as economic catalysts, while others will resist them as industrial developments that provide relatively few permanent jobs compared to their enormous demands on public infrastructure.


Candidates running for municipal office will increasingly find themselves answering questions that would have seemed foreign only a few years ago: Should scarce electrical capacity be reserved for housing and traditional industry, or should municipalities compete to host facilities powering artificial intelligence and cloud computing? Is economic growth measured by warehouses of servers as much as by factories and offices? These are no longer hypothetical policy discussions but practical campaign issues that will separate candidates with competing visions of what local economic development should look like in the digital age.


Ironically, while some candidates campaign against the expansion of AI-driven infrastructure, many will simultaneously rely on AI every single day to reach voters. Now I'll be upfront: I use AI tools like Grammarly every day to write and edit my editorials, and even my introductions for the show, so yes, call me a hypocrite for this editorial.


Canva, once known primarily as an accessible graphic design platform, has evolved into an AI-powered communications engine capable of writing campaign copy, generating social media graphics, editing videos, suggesting layouts, and producing polished political branding within minutes. Municipal campaigns, which have traditionally operated on modest budgets with volunteer-driven communications, are rapidly embracing these tools because they dramatically reduce both cost and production time.


Few voters scrolling through Facebook, Instagram, or LinkedIn will realize that the polished infographic explaining a property tax proposal or the professionally branded announcement about a community event may have been assembled with only minimal human input. The irony is striking: politicians may spend one part of their day questioning artificial intelligence's impact on their communities while spending the other relying upon it to shape their public image.


This convergence exposes a deeper question that Ontario municipalities will increasingly have to confront. Technology is no longer simply another policy area to regulate; it is becoming the framework through which public policy itself is debated. Data centres are changing how municipalities think about growth, energy, and infrastructure, while AI platforms are changing how elected officials communicate, persuade, and engage with constituents.


Even the public consultation process is beginning to reflect this shift, with AI-generated summaries, automated meeting notes, digital engagement platforms, and algorithmically optimized communications becoming commonplace. Whether communities welcome or reject data centres, and whether candidates embrace or limit their use of AI-generated campaign material, the underlying reality remains unchanged: digital technologies are becoming inseparable from municipal governance itself. And don't get me started on politicians in higher office using AI to write scripts for their speeches in legislatures. Cough New Brunswick Cough


Ontario will therefore serve as the province where this transformation is tested in real time. Municipalities have always adapted to new pressures, whether brought about by industrialization, suburban expansion, or demographic change. Today the challenge is different because it is occurring simultaneously in the physical and digital worlds. Every debate over a proposed data centre becomes a debate about the future economy, while every AI-assisted campaign post becomes another example of technology reshaping democratic engagement. The municipalities that navigate this transition successfully will not necessarily be those that enthusiastically approve every server farm or blindly embrace every AI platform.


Rather, they will be those that develop thoughtful policies balancing innovation with accountability, economic opportunity with environmental stewardship, and technological efficiency with authentic public trust.


By the time Ontario voters head to the polls in October, many may not realize that they have already participated in the province's first truly digital municipal election. The campaign signs will still line the streets, candidates will still knock on doors - hopefully- and council debates will still revolve around familiar local concerns, but beneath the surface the defining questions will be unmistakably modern.


Communities will decide whether they want to host the infrastructure powering artificial intelligence, while candidates increasingly depend on artificial intelligence to persuade those same communities to elect them.


In that contradiction lies the defining story of Ontario's next municipal elections: not simply whether municipalities are for or against data centres or whether politicians should use AI-powered platforms like Canva, but whether local democracy itself is prepared for an era in which nearly every municipal issue will eventually be viewed either through a data centre lens or filtered through an algorithm.

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