An AI reckoning is coming for your employees. Is Canada ready?

Economists are not, as a rule, given to alarm. They hedge, they qualify, they reach for historical analogies. So when a sweeping new survey of nearly 200 of the world's leading economists, artificial intelligence professionals and policy researchers produces findings that even its authors describe as cause for serious concern, Canadian human resources leaders would do well to pay attention.

The study, published this month by researchers from the Federal Reserve Bank of Chicago, Yale University, the University of Toronto and several other institutions, is the most rigorous attempt yet to quantify what artificial intelligence will do to the North American labour market over the next quarter-century. Its core finding is simultaneously reassuring and troubling: most experts do not predict immediate catastrophe, but the range of plausible outcomes under a rapid-AI scenario is vast enough that planning only for the median is, in the researchers' own words, a significant mistake.

For Canadian employers navigating a labour market already stressed by demographic aging, an abrupt drop in immigration and a trade war that has introduced fresh economic uncertainty, the report lands at a particularly fraught moment.

The headline finding of the study concerns the labour force participation rate — the share of working-age adults who are either employed or actively looking for work. It is a metric that HR professionals track closely, and its trajectory under the study's scenarios is striking.

The median economist surveyed expects the U.S. labour force participation rate to fall from its current level of about 62.6 per cent to 61 per cent by 2030 and 58.3 per cent by 2050, even without any dramatic acceleration in AI capabilities. That decline is partly demographic — an ageing population was already pulling participation lower before ChatGPT existed — but the AI contribution is material.

Under the study's "rapid progress" scenario, in which AI systems surpass human performance across most cognitive and physical tasks by 2030, the median economist's forecast for labour force participation falls to 55 per cent by 2050. The researchers estimate that roughly half of that decline — approximately 10 million people leaving the American labour force — would be attributable to AI rather than demographics.

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Canada, where similar trends in workforce aging and AI adoption are playing out, has reason to watch these numbers closely. Statistics Canada research published in January found no clear sign yet that AI-exposed occupations are declining faster than others north of the border. But Canadian AI adoption — concentrated in larger firms and knowledge-intensive sectors — is widely seen as a lagging indicator relative to the United States, not a divergent one.

"AI adoption isn't really rocketing ahead in Canada, to put it mildly," Chris Roberts, director of social and economic policy at the Canadian Labour Congress, told Canadian Affairs earlier this year. "But that doesn't mean we're immune."

The study's occupational analysis is where the findings become most directly useful for HR practitioners. Economists were asked to rank dozens of major occupational categories by expected employment growth between 2025 and 2030.

The pattern that emerges will not surprise anyone who has been paying attention, but seeing it stated so starkly by a survey of credentialled economists is sobering. At the top of the growth rankings — occupations where the clear majority of economists expect employment to expand — are health professionals, personal care workers, personal service workers and protective services workers. These are roles defined by physical presence, human judgement, emotional intelligence and interpersonal trust. They are, in short, the things that AI cannot yet replicate reliably.

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At the bottom — where a majority of economists expect employment to contract — sit general and keyboard clerks, customer service clerks, numerical and material recording clerks, other clerical support workers and assemblers. These are occupations defined by information processing, data entry, routine transactions and rules-based decision-making. In the Canadian context, that description maps closely onto a vast swath of administrative roles in insurance, banking, government, professional services and retail — sectors that collectively employ hundreds of thousands of Canadians.

Statistics Canada has reached similar conclusions. Research published this year found that clerical and administrative occupations show the highest automation risk from generative AI among Canadian workers. "We're already seeing fewer positions in clerical and administrative work, because a lot of those tasks are being complemented by AI," Tricia Williams, research director at the Future Skills Centre, told Canadian Affairs earlier this year.

For HR professionals responsible for succession planning and talent pipelines, one finding deserves particular attention. The study documents concentrated employment pressure on early-career workers in AI-exposed occupations — the very cohort that organisations rely upon to develop their next generation of managers and specialists.

TD Economics, examining Canadian data earlier this year, found that youth unemployment among recent graduates had risen to four-year highs, though it attributed most of that to a rapid expansion of the student population rather than direct AI displacement. The more concerning signal is structural: as AI tools take on more of the analytical, drafting and screening tasks that have traditionally constituted entry-level work, the traditional apprenticeship model — where junior employees learn by doing routine tasks under senior supervision — is being disrupted.

Generative AI is compressing the corporate pyramid. Junior positions are not disappearing overnight, but demand is shifting toward workers who can supervise, interrogate and improve AI outputs rather than produce first drafts from scratch. That is a meaningful change in what employers are looking for — and a potential threat to the pipeline of talent that feeds management ranks over time.

Perhaps the most politically charged finding of the study — and one with direct implications for Canadian compensation strategy — concerns the distribution of AI's gains and losses.

The economists surveyed expect wealth inequality to worsen significantly as AI advances, regardless of scenario. Under their baseline forecast, the share of national wealth held by the wealthiest 10 per cent of households is expected to rise to 75 per cent by 2050. Under a rapid AI progress scenario, that figure climbs to 80 per cent — levels of concentration not seen since before the Second World War.

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The mechanism is not complicated. AI raises the returns to capital — to ownership of data, compute infrastructure, intellectual property and equity in technology companies — while compressing wages in occupations most vulnerable to automation. Labour's share of total economic output is forecast to fall from 55.5 per cent today to 45 per cent by 2050 if AI advances rapidly.

For total rewards professionals and compensation committees, this trajectory creates a strategic tension. Companies that rely heavily on administrative, clerical and routine professional roles face structural pressure on those cost centres. But if that pressure translates into layoffs rather than retraining, organisations risk fuelling broader inequality trends — and the political backlash that research suggests is already building.

The study's most politically resonant finding for HR leaders may be the chasm it documents between what economists recommend and what the general public actually wants.

Economists in the survey were broadly supportive of targeted, incremental interventions: 71.8 per cent backed retraining support programmes that would provide displaced workers with up to $25,000 per year in training credits, funded by a modest payroll tax. The proposal most opposed by economists — a government job guarantee paying at least $15 an hour to any adult who wants one — was supported by 57.1 per cent of the general public, compared with only 13.7 per cent of economists.

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That 43-percentage-point gap is not merely an academic curiosity. It signals that if AI-driven displacement becomes visibly widespread, public demand for intervention will almost certainly outrun economists' preferred policy menu. For Canadian employers, that means the regulatory and legislative environment governing workforce transitions may shift dramatically and rapidly — particularly given that, as one Concordia University researcher noted in Policy Options this spring, only six to eight per cent of Canadian workers are currently covered by federal labour protections related to technological change.

The Liberal government introduced legislation earlier this year focused primarily on stimulating Canada's AI industry. Critics, including the Canadian Labour Congress, have argued that the policy response to date has paid insufficient attention to managing the disruptions AI may cause for workers.

None of this means Canadian HR leaders should be planning for imminent collapse. The study's most important caveat is also its most important insight: the median outcome — modest disruption, gradual adjustment, manageable transition — is still the most probable single scenario. Economists' unconditional forecasts, reflecting their all-things-considered best judgment, remain relatively close to historical baselines.

But the distribution of possible outcomes is wide, and the consequences of preparing only for the median are asymmetric. If disruption is slower than feared, organisations that have invested in reskilling, talent mobility and workforce adaptability will have lost little. If disruption is faster, organisations that have not will find themselves scrambling in a labour market that offers fewer of the administrative and clerical roles they have traditionally relied upon as entry points, and a workforce poorly equipped to adapt.

The Institute for Research on Public Policy has called for regional workforce strategies tailored to provincial economies and sector-specific reskilling investments. Statistics Canada's research points to the uneven distribution of AI risk across industries and geographies — a pattern that Canadian HR professionals, responsible for workplaces from Fort McMurray to Halifax, know from experience.

The researchers behind the American study put it directly: policymakers — and, by extension, the employers whose workforce decisions collectively constitute the labour market — cannot simply plan for the median outcome. They must contend with tail risks, including the potential for a deep and rapid contraction in labour force participation.

In Canada, where the institutions to manage that contraction are modest and the policy debate is still nascent, the time to begin is now.