“Can the new administration actually win over Canadians when it comes to artificial intelligence?” That’s the burning question tech watchers are asking lately. A recent deep dive into Ottawa’s newly rolled-out “AI for All” national strategy points to a glaring hurdle: public skepticism. The 50-page policy document mentions “trust” a staggering 45 times, acknowledging that a lack of confidence is the real bottleneck keeping AI adoption low. But does the plan actually deliver on that promise? Not so fast. Industry insiders like Blair Attad-Frost aren’t buying it, pointing out that the proposed regulatory approach feels more like a wishlist than a concrete roadmap to rebuild public faith.
Back in early June, Prime Minister Carney took the stage at a Toronto hospital to officially unveil the country’s roadmap for artificial intelligence.
So, what’s actually inside this roadmap? It’s a multi-pronged effort designed to shield citizens from AI risks while simultaneously rolling up our sleeves to get more people and businesses up to speed. The plan zeroes in on beefing up Canada’s compute power, data infrastructure, and talent pipeline. To make it happen, the government is pouring over $1.4 billion into targeted initiatives aimed at boosting AI literacy across the board and pushing both private companies and public agencies to actually integrate these tools into their daily workflows.
The economic payoff they’re chasing is pretty ambitious: creating 250,000 new jobs by 2031 and giving the national economy a solid 3% GDP lift. Observers note that this isn’t just about catching up—it’s about positioning Canada as a key player among mid-sized global powers carving out their own AI sovereignty, all while trying to break free from the heavy reliance on U.S. tech conglomerates.
But let’s be real—Ottawa is swimming against the current when it comes to user adoption. The data paints a pretty stark picture. Between mid-2024 and mid-2025, a mere 12% of Canadian businesses actually leveraged AI to produce goods or services. Small and medium-sized enterprises? Even lower, hovering around a dismal 8%. That puts Canada significantly behind the curve compared to peers in Northern Europe, Germany, and France. On the consumer side, Canada sits at 37% personal usage, ranking a solid 15th globally and trailing behind innovators like the UAE, Singapore, and Norway.
Why the hesitation? Experts point to a dual deficit in both AI literacy and genuine trust. In a sweeping study covering 47 nations, Canada ranked near the bottom when it came to trusting AI systems. And the public is deeply divided. Recent polling shows a nation split almost down the middle: 34% believe AI will be a net positive for society, while 36% are convinced it will do more harm than good.
Prime Minister Carney hasn’t shied away from the tough stuff, openly acknowledging the real dangers Canadians face, from hyper-realistic deepfakes to unvetted chatbots and AI-fueled misinformation campaigns. But while analysts agree the adoption and trust gap is real, critics argue the strategy’s safety net is full of holes. One opposition lawmaker bluntly stated that the promised safeguards are largely theoretical, lacking any actionable detail. Even insiders from the government’s own AI task force, like Taylor Owen, admitted the blueprint falls short when it comes to explaining exactly how they plan to bridge that trust gap.
The regulatory piece of the puzzle is drawing even more eyebrows. Attad-Frost warns that leaning heavily on voluntary guidelines will just result in a patchwork system that’s loose, inconsistent, and frankly, too opaque. Former policy analyst Marusia Lewersky echoes this, highlighting that the lack of ambitious compute planning and a narrow regulatory focus are major red flags. While protecting privacy and kids online is absolutely non-negotiable, zeroing in only on those areas leaves a massive blind spot. We need a comprehensive framework that actually keeps pace with how fast AI is evolving.
Looking at the bigger picture, Canadian tech experts note a mixed bag of strengths and glaring weaknesses. On the plus side, the country has a rock-solid foundation in foundational AI research, built over years of nurturing tech talent and backed by early mover advantage from its 2017 national AI push. But the commercialization gap is undeniable. Compared to powerhouse markets like the U.S. and China, Canada struggles to scale research into homegrown tech giants and attract massive venture capital. To make matters worse, that talent advantage is slowly evaporating, as American tech titans open local R&D labs, quietly siphoning off top-tier researchers and funneling the intellectual property straight back to their U.S. headquarters.
So, why is the public so torn? It’s less about a dystopian fear of robots and more about a deep-seated suspicion of who really pulls the strings. This skepticism is uniquely tied to Canada’s cultural reliance on robust social safety nets and institutional trust. The real worry isn’t the technology itself—it’s the fear that handing over critical public services like universal healthcare and immigration processing to black-box algorithms will strip away procedural fairness and leave everyday citizens at the mercy of opaque code.
