AI layoffs in Canada: What HR leaders now expect

AI layoffs have become one of the defining storylines of 2026 – a heavy year for job losses in Canada in general, spanning telecom, banking, logistics, and the federal public service. HR leaders are living AI-driven layoffs from both sides of the table. 

Some organizations are cutting roles and pointing to artificial intelligence as the reason. Others are quietly rehiring for jobs they eliminated earlier, once they discovered that AI couldn’t actually do what departed employees did.

At the same time, a growing body of Canadian and US data suggests AI is a smaller driver of these decisions than the headlines suggest. In fact, in several high-profile cases, companies that leaned on AI to justify cuts are now walking them back.

Yes, layoffs in Canada have been widespread in 2026, hitting sectors that historically offered a fair amount of job security. The federal public service has been especially exposed, shrinking by over 12,000 positions in 2026 alone, as Ottawa works through a multi-year plan to bring the workforce down to a more sustainable size. It’s a drawdown that’s been building since 2025, and one that’s expected to keep unfolding through the rest of the decade.

Private-sector Canada layoffs have followed a similar pattern. Countrywide employers such as telecom giants, financial institutions, and logistics players have all announced significant workforce reductions this year, often framed as part of longer-term restructuring rather than a single event. What’s changed in 2026 is the explanation companies are giving: artificial intelligence has become a common justification, even when it isn’t always the real driver.

AI is certainly causing job cuts in Canada, but experts who track layoffs closely are skeptical that AI is the primary force behind most job cuts. Roger Lee, founder of the layoff-tracking site Layoffs.fyi, has said there’s little evidence AI is currently capable of doing the full jobs of most laid-off employees, though it can absorb some of the more routine, automatable tasks, particularly in entry-level roles.

Gartner has gone further, estimating that only a small fraction of publicly announced layoffs in 2025 were genuinely attributable to AI-driven productivity gains, even as AI is increasingly cited as the reason. That distinction matters for HR leaders: it suggests a portion of “AI layoffs” are really cost-cutting or restructuring decisions using AI as convenient cover.

Taken together, this points to a workforce being reshaped by AI at the margins, especially for entry-level and routine work. At the same time, broader restructuring, cost pressures, and interest rates remain the bigger forces behind most job losses.

A handful of major employers have made headlines this year, and their reasoning offers a useful window into how AI is actually being used in restructuring decisions.

BCE, Bell Canada’s parent company, has cut staff in multiple waves since late 2025: roughly 690 positions in June 2026, following about 650 management roles being cut the previous November and a smaller round at Bell Media in February. 

The company has tied these Bell Canada layoffs to a broader plan to find $1.5 billion in cost savings by 2028, driven by the shift to fibre network infrastructure and general operating efficiencies, rather than an explicit AI substitution strategy.

Scotiabank’s CEO confirmed in early 2026 that the bank let go of roughly 3,000 employees through a restructuring program, including a wave of nearly 2,500 cuts concentrated in its Toronto operations. The bank described the reductions as a reallocation away from areas it doesn’t expect to grow – part of a broader refocusing rather than an AI headcount swap.

Canada Post has confirmed plans to cut around 30,000 jobs by 2035, mostly through attrition and voluntary departures, after its CFO described the Crown corporation as effectively insolvent. This is a structural response to declining mail volumes and a strained balance sheet, not an AI-driven cut.

Ottawa’s spending review is driving some of the largest Canada federal government layoffs in years. The Canada Revenue Agency’s headcount dropped from roughly 59,155 to 52,499 employees between 2024 and 2025, according to Government of Canada data. More broadly, the federal budget targets 16,000 FTE position cuts over three years, about 4.5% of the public service, to bring headcount down from a 2024 peak of roughly 368,000 toward 330,000 by 2029.

Meta offers the clearest example of AI-linked restructuring on the list. The company cut roughly 8,000 jobs, about 10% of its global workforce, in May 2026, explicitly to fund its AI push. At the same time, Meta shifted around 7,000 employees into newly created AI-focused teams, framing the move as a redeployment of talent toward AI priorities rather than a straightforward substitution of people with machines.

In most cases, AI can’t fully replace laid-off workers yet. One of the clearest signals came from a recent Robert Half survey indicating that more than a third of organizations that eliminated positions after adopting AI have since added those roles, or similar ones, back.

Koula Vasilopoulos, a Senior Managing Director at Robert Half Canada, put it plainly to the Globe and Mail: AI can automate routine tasks, but many employers underestimated how much human judgment, context, and decision-making their eliminated roles actually required. Once the gaps in quality, execution, and oversight became visible, rehiring followed.

This is the pattern HR leaders should watch closely: AI can be a genuine productivity tool without being a viable full replacement for a role. Organizations that cut first and evaluate later are now paying twice, once in severance and once in re-recruitment.

Whether your organization is planning AI-related cuts or navigating the aftermath of layoffs, a few practices consistently separate the organizations that come out of this period with their reputation intact from those that don’t:

• Pressure-test the AI justification before you cut: If a role is being eliminated because AI presumably can take the job immediately, ask for evidence. Pilot the AI tool against the role’s actual responsibilities before making the change permanent, not after.
• Build a redeployment and reskilling path: Where AI is genuinely absorbing routine tasks, look at whether affected employees can move into higher-judgment work. This protects institutional knowledge and reduces the odds of a costly rehire.
• Communicate the real reason for the layoff: Employees, remaining staff, and the public can tell the difference between an honest restructuring explanation and “AI” used as a euphemism for cost-cutting. Vague or inflated AI claims tend to erode trust fast.
• Document your process: Given how many Canadian employers are now reversing AI-related cuts, HR and legal teams should keep clear records of the rationale behind each decision, both to support consistent, defensible decision-making and to make a rehire or restructuring easier to explain later if needed.
• Avoid any legal risks: Complete your laid-off employees’ records of employment with diligence. Also, be prepared for substantial AI-related changes in workload or processes, and seek consent from employees who stay to avoid constructive dismissal claims.
• Bring in outplacement support early: For employees who are let go, structured career transition support, from resume and interview coaching to job-search resources, shortens time to reemployment and materially reduces reputational and legal risk for the organization.

AI is genuinely changing Canadian workplaces, but it’s driving far fewer layoffs than the headlines suggest, and several major employers are already rehiring for roles they cut too quickly. For HR leaders, the safest path through this period isn’t to avoid AI-related restructuring altogether, but to make sure every decision is backed by evidence, paired with real reskilling or redeployment options, and supported by transition resources for the people who are let go.

If your organization is navigating workforce-related challenges, whether AI-driven or not, Careerminds can help you to build redeployment, reskilling, and outplacement support that treats the moment with the seriousness it deserves. Contact our experts today.