Nearly half of Canadian workers fear AI will upend their careers. HR has the power to change that.
Anxiety about artificial intelligence is spreading through Canadian workplaces. Nearly half of employed Canadians (46%) say AI has already affected their long-term career prospects, according to a 2026 survey by Borderless AI. One in five feel less secure in their role due to AI automation.
The concern has intensified sharply. A 2025 Toronto Metropolitan University survey found that 42% of Canadian workers worry their roles could be replaced by computers or robots - up from 27% just two years earlier. Among workers aged 18 to 29, anxiety climbs to 55%.
Yet organizations are creating much of this fear themselves. HR leaders who fail to communicate clearly about AI adoption risk watching employee engagement collapse, trust erode, and transformation efforts stall.
The communication gap is where fear takes root
Most organizations rush into AI pilots without first aligning leadership or explaining their strategy to staff. Employees fill that silence with their worst assumptions.
"The biggest gap I'm seeing is the communication gap," said Thanuja Thananagayam, Senior Manager of People and Culture at the Canadian Centre for Diversity and Inclusion. "If you don't involve your employees in these decisions and communicate effectively, that's where the fear bottles up and has compounding effects."
Jodi Baker Calamai, National Managing Partner of Human Capital at Deloitte, sees the same pattern across organizations. "Step one to being effective on any AI transformation is aligning across the C-suite on your position and then articulating that position in plain English to your workforce, clients, and collaborators," she said. "Where organizations falter and rush into pilots, there tends to be a crack in terms of people's understanding of the why."
That crack carries real consequences. Deloitte research found that roughly eight in 10 respondents believed colleagues using AI were doing so simply to appear more productive. Without a clear organizational narrative, employees interpret AI as a performance game or a signal of coming layoffs - not as a business improvement tool.
Reframe the conversation: AI reshapes tasks, not jobs
Jean-Nicolas Reyt, associate professor of organizational behaviour at McGill University, identifies a core problem: "I don't know of any CEO saying 'Let's implement AI so you can work less or I can pay you more.' They're saying 'Let's implement AI so we can cut costs.' And cutting costs isn't the main motivation of most employees."
When HR articulates the business case only in terms of efficiency and cost reduction, employees hear one thing: their labour is being made redundant. HR's job is to reframe the story.
One critical distinction: AI can replace specific tasks within a job, but not the job itself. Thananagayam encourages organizations to break jobs into their component parts first. "There are repetitive tasks, administrative work, and deeply human relational and strategic work," she said. "AI can't replace high-end tasks like decision-making, creativity, or human connection."
Reyt points to Microsoft's approach: calling their AI a "Copilot" rather than an autonomous agent. "It implies human control and focuses people on how AI will help, not what it will replace," he said.
The data supports this reframing. While 46% of employed Canadians say AI has affected their career, more than a quarter (26%) feel more secure and are actively building new skills to work with AI. That shift from fear to agency doesn't happen by accident - it happens when organizations invest in clear communication and training.
Bring employees into the policy-building process
The most resilient AI strategies don't announce policy from above. They bring employees into the process of building it.
Baker Calamai said a human-centred AI policy goes beyond defining which tools to use. "It looks at what it means for a human to leverage tools to be effective - if AI is doing work I traditionally did, what work am I actually on the hook for doing? Do I have the skills? Am I being supported to develop them?"
Thananagayam emphasized the mechanism matters as much as the outcome. "It's getting employees involved in that process," she said. "HR can facilitate focus groups, advisory committees, cross-functional working groups, and listening sessions. At the end of the day, HR deals with people, so it's about centring people and listening to them before you develop an AI policy."
A 2025 TMU Diversity Institute survey underscores the urgency. Despite broad anxiety, 47% of workers say their workplaces have been too slow to adopt new technologies, and 41% struggle to keep pace with digital change already underway. Workers aren't uniformly resistant to AI - many are frustrated their organizations haven't given them the tools, training, or clarity to engage with it.
Recognize that adoption patterns vary
Not all employees will respond to AI the same way. Baker Calamai said effective rollouts require recognizing this diversity. "You're going to have fast adopters who set the pace and others who are skeptical or hesitant - and they probably don't fall into patterns you might assume based on demographics or career history," she said.
The best strategies involve empathetic messaging, reassurance where possible, opportunities to redesign work, skill-building, and leadership role modelling.
Thananagayam offered a final perspective for HR leaders: "AI is here and it's not going anywhere. This is the future of work. If we don't figure out a way for this to work in the current climate, it's going to determine the success or failure of an organization."
For HR professionals managing this transition, resources like AI for CHROs and AI for HR Managers provide practical frameworks for leading organizational change and managing workforce anxiety during AI adoption.
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