Canadian Prime Minister Mark Carney has announced a sweeping new artificial intelligence strategy that will shape the country’s tech policy and infrastructure spending over the next five years. The “AI for All” plan promises to create 90,000 AI-related jobs while strengthening data protections, but critics say it overlooks growing public resistance to AI adoption.
The strategy comes as governments worldwide race to position themselves in what Carney’s office projects will be a $4.8 trillion global AI market by 2033. While the Canadian approach emphasizes citizen impact more than similar frameworks in the US under President Trump, it still prioritizes growing domestic AI industry despite mounting evidence of public backlash.
The announcement reflects a broader tension facing policymakers globally. Nations want to capture economic benefits from AI development, but public trust in the technology continues to erode. Canada’s approach attempts to address both concerns simultaneously, though whether this balance can work remains an open question.
The “AI for All” strategy centers on three main pillars designed to make Canada a major player in the global AI race:
- Building public trust through stronger privacy protections and online safety measures
- Increasing AI adoption across businesses and education
- Investing in Canadian-owned AI infrastructure and computing power
On the regulatory front, Carney’s plan calls for updated laws to protect personal information from harmful practices like deepfakes and surveillance pricing. The strategy also promises an “online safety regime” to protect users of chatbots and social media platforms. These measures address real concerns about AI misuse that have sparked calls for tighter regulation across North America and Europe.
The education component includes a National AI Literacy Initiative offering free entry-level training to Canadian workers. Every post-secondary student would gain “access to trusted AI agents” under the plan. This reflects widespread recognition that AI literacy will become essential for many jobs, even as the technology’s actual workplace benefits remain disputed.
For businesses, the strategy promises construction of a “public AI supercomputer” and expanded investment in Canadian-owned computing and cloud infrastructure. These facilities would align with Canada’s clean energy goals while supporting domestic AI development through government procurement programs.
The timing of Canada’s AI push is significant. While countries like the US and China have poured billions into AI development, smaller nations face pressure to stake out their positions before the market consolidates around a few major players. Canada’s focus on “sovereign” computing infrastructure reflects concerns about technological dependence that have grown since the pandemic exposed supply chain vulnerabilities.
However, the strategy’s emphasis on boosting AI adoption may be misguided. Recent studies question whether AI tools actually increase productivity in most workplace settings. Meanwhile, public surveys show growing skepticism about AI’s benefits, even as tools like ChatGPT, Gemini, and Claude remain freely available to anyone who wants to try them.
The disconnect between policy goals and public sentiment suggests deeper issues with AI technology itself. If Canadians aren’t embracing AI despite easy access, the problem may not be communication or training gaps. Instead, it could reflect genuine concerns about AI’s reliability, usefulness, or impact on jobs and privacy.
Carney’s strategy document acknowledges Canadian skepticism toward AI but treats it primarily as a messaging challenge rather than a substantive technology problem. This approach mirrors similar government responses worldwide, where officials promote AI benefits while downplaying legitimate concerns about its limitations and risks.
The success of Canada’s AI strategy will likely depend on whether it can thread the needle between economic ambition and public trust. Other countries will be watching closely, as the balance between AI promotion and regulation remains one of the biggest policy challenges of the decade.
