Canada's AI for All Strategy Sets National Targets - But HR Leaders Must Act Now
Canada's federal government committed $2.3 billion to AI adoption on June 4, 2026, with a target to increase business use from 12 per cent to 60 per cent by 2034. The plan projects 250,000 new AI-related jobs and training for mid-career professionals and frontline workers. What it doesn't include: mandatory retraining rules, union notification requirements, or modelling of job displacement.
The gap between what Ottawa announced and what needs to happen inside organizations falls to HR leaders. They can't wait for the government to define the next steps.
Map workforce exposure before someone else does
The federal strategy projects 250,000 new jobs but doesn't estimate how many roles could be displaced. Research from Statistics Canada and the Future Skills Centre suggests 60 per cent of Canadian jobs will be affected by AI - some at risk of automation, others enhanced by it.
HR leaders without an internal picture of workforce exposure are operating without direction. Lewis Curley, Lead Partner for People and Change at KPMG Canada, says the exposure map should go beyond a simple automation risk score. Frame it around value: which roles deliver what the organization exists to do, which tasks within those roles can be accelerated by AI, and which decisions must stay with a human.
That framing shifts the conversation from threat to design, he said. It also prepares managers - the people translating strategy into employee experience.
Stop treating AI adoption as a technology project
Moving adoption from 12 per cent to 60 per cent won't happen by deploying tools and ignoring people. KPMG research shows Canadian businesses are already using AI, but few see meaningful returns. Only a small share report clear return on investment.
The problem: failure to connect AI tools to how work actually gets done. "Many have AI in pockets of the business, but it's not always embedded into value creation at scale," Curley said. Organizations making real progress start by understanding the value they can bring to the business, then consider how AI enhances that value and how humans bring irreplaceable qualities to it. Employees then move from "having to adopt AI" to "wanting to adopt AI."
AI is already reshaping which teams exist, which are shrinking, and which didn't exist two years ago. HR leaders need to be ahead of that movement, not reacting to it, said Willson Cross, CEO of Borderless AI. "The type of person you bring into your marketing organization literally 800 days ago is completely different than the type of individual in marketing that you bring on today," he said. Some teams didn't exist a couple years ago but now must exist because of AI. Others no longer need to exist.
Build trust through visible guardrails
The national strategy's optimism about job creation runs into a significant trust problem. An Ipsos AI Monitor survey of 23,532 adults across 32 countries found that 67 per cent of Canadians say AI makes them nervous - among the highest rates globally.
Just 20 per cent of Canadian workers believe AI will improve their job. Only 18 per cent are comfortable with AI screening job applicants, despite 53 per cent admitting they already use AI tools at work.
HR leaders can't close that gap with reassuring messages alone. KPMG research shows 83 per cent of Canadians would trust AI more if clear assurances exist: human oversight, the ability to opt out of data use, and accountability when something goes wrong. These aren't abstract ideas - they need to show up in policy and day-to-day practice, Curley said.
Organizations need explicit, published positions on where AI will and won't be used in decisions affecting employees - performance reviews, scheduling, recruitment screening, and promotion - before employees ask the questions. "Show employees how it improves a specific part of their job," Cross said. "When people see it helping them do better work rather than being assessed by it, the conversation shifts quickly."
Design employer-led training around roles
The federal strategy targets one million post-secondary students and commits to employer-led training for mid-career professionals and frontline workers. Employers are the primary vehicle for bridging the skills gap - which means HR owns the delivery.
Effective programs are role-based, not generic. Frontline employees need practical guidance on how AI fits into their workflow. Managers need to learn how to redesign work and lead AI-enabled teams. Technical teams need deeper capability around data and governance, Curley said.
The business case is already made. Employees resisting AI often do so because they lack confidence in how to use it properly. Investing in skills isn't just about future-proofing - it's about unlocking productivity from tools organizations are already paying for.
Even rudimentary training on onboarding and job training yields day-to-day efficiencies, Cross said. Those early investments would still pay off in a heavily regulated future, because operational efficiency gains are immediate and durable.
Plan for the roles that don't exist yet
The national strategy projects substantial job creation. HR leaders who wait for those roles to be clearly defined will always be behind.
New job titles are appearing constantly: AI implementation engineers, AI specialist trainers, AI product designers, AI sales engineers. HR leaders can build a forward-looking recruitment map now instead of reacting later.
The transformation can't be led from a distance. Leaders must use the tools themselves. Cross said it will be very difficult for organizations to become truly "AI native" without executives actually using the tools. That expectation extends to HR: people leaders who haven't personally engaged with AI tools are poorly positioned to counsel executives, assess vendor claims, or design credible training programs.
What's at stake
Canada's AI for All strategy signals that workforce readiness is now a strategic pillar, not a supporting function. The federal government is measuring it. Employees are watching. Organizations that move now - with a clear view of workforce exposure, role-based training, and visible employee guardrails - will have the internal momentum to meet the curve the strategy is setting.
HR will be key to redesigning skilling programs: not just how to use AI, but how to support roles where earlier career activities are automated, so that experience becomes the differentiator, Curley said.
For more on how HR leaders can build AI capability across their organizations, explore AI for Human Resources or the AI Learning Path for CHROs.
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