Reviving Canada productivity growth: a labour-market reform blueprint

Canada’s productivity growth has stalled at a time when structural shifts are accelerating: an ageing population, the net-zero transition, rapid digitalisation and artificial intelligence, and shifts in global trade. The consequence is clear: without a decisive reorientation of labour-market policy, Canada risks losing ground in living standards and global competitiveness. Yet the opportunity is equally clear. By strengthening the match between skills and jobs, improving mobility, and aligning investment with productive firms, policy can revive broad-based productivity growth. This analysis treats productivity growth as a policy choice as much as an outcome of market dynamics.

The central problem is not a single bottleneck but a constellation of frictions: skill acquisition efficiency, mismatches between education and labour demand, barriers to cross-firm and cross-sector mobility, housing constraints that deter relocation, and uneven uptake of digital technologies and automation. The stakes are high. If Canada cannot reallocate resources toward higher-productivity activities, GDP per capita growth will stay materially below historical norms, threatening living standards as the population ages. If policy succeeds, Canada can reallocate talent toward high-productivity activities, raise the share of ICT-capable training, and sustain gains from innovation and global value chains.

The hidden conflict lies in the trade-off between decarbonisation and immediate productivity gains. Energy-intensive sectors drive high measured productivity due to capital intensity, yet decarbonisation requires reallocation toward lower-emission activities and technologies. This tension challenges policy design: push for new technologies and digital infrastructure without locking workers into declining sectors. The direction of analysis is explicit: identify how to align worker capabilities with the changing productive structure while sustaining energy transitions and export resilience.

Structure of the argument: first, a diagnosis anchored in data and international comparisons; second, a contrast with peers to highlight feasible paths; third, a causal map linking policy levers to outcomes; and fourth, an expert reconstruction offering concrete, implementable reforms. The aim is not grand rhetoric but a practical, evidence-based playbook for policymakers, employers, and workers alike.

Analytics-driven diagnosis of Canada productivity growth

Canada’s broader growth slowdown reflects both slower productivity within firms and weaker reallocation of workers toward more productive firms. Within-firm dynamics show that high-productivity firms, particularly in manufacturing and some tradable-services sectors, have subdued investment and slower adoption of new technologies. The result is a drag on aggregate productivity growth, because job reallocation from low- to high-productivity firms accounts for a sizable portion of efficiency gains. In other words, the economy’s endogenous reallocation channel is underperforming, dampening the potential of innovation and scale economies.

Structural shifts amplify these frictions. Demographic ageing reduces the stock of dynamic workers who are most likely to move to higher-productivity opportunities. The OECD estimates suggest ageing could account for about 10% of the decline in aggregate productivity growth between 2002–2007 and 2014–2019 in Canada through its impact on efficiency-enhancing job reallocation. Net-zero transition, while essential for climate goals, reconfigures sectoral composition and raises the need for new skills and updated production processes. Digitalisation and AI promise stronger growth, but technology adoption remains uneven across firms and sectors, limiting the aggregate impact. These patterns imply a double bind: productivity growth requires both firm-level capabilities and timely worker mobility, and the present frictions impede both sides of the linkage.

Canada’s energy-intense sector structure provides a paradox. Energy extraction yields high productivity, thanks to capital intensity, but the transition away from emissions-intensive activity can depress growth unless matched with productivity-enhancing investments. Replacing fossil-based capital with digital, green, and automation-intensive assets must be paired with retraining, wage supports, and well-targeted active labour market policies to avoid scarring labour through job displacement. In short, the productivity challenge is not just about training but about coordinating investment, innovation, and human capital across the economy.

Human capital, while abundant, does not automatically translate into higher productivity. Three frictions stand out. First, the efficiency of skill acquisition lags behind peers, driven by teaching quality gaps, overreliance on devices for personal use in schools, and weak links between education and work through apprenticeships and internships. Second, returns to skill are relatively muted in Canada, contributing to brain drain as high-skilled workers seek higher rewards elsewhere. Third, overqualification remains widespread, with a sizable share of graduates employed in roles that do not require their education level, particularly among humanities graduates and foreign-born workers. The quantitative impact of mismatch is nontrivial: OECD estimates attribute a meaningful portion of the productivity gap to labour-market mismatch, underscoring the value of better guidance and alignment of education with demand.

On the demand side, firms invest less in intangible assets, digital infrastructure, and automation than peers in other advanced economies. This dampens the productivity dividend of skilled labour and can amplify the misallocation problem if weaker firms dominate hiring, channeling scarce capital into inefficient uses. In tandem, housing affordability and urban concentration limit worker mobility, constraining the geographic flexibility needed to reallocate labour toward productive sectors. Taken together, the data point to a policy nexus where education, licensing, housing, and innovation policy must align with labour-market needs to unlock productivity growth.

Education and career guidance play a pivotal role in reducing skill mismatches. Canada lags in career guidance for students and adults, with less emphasis on long-term career progression and development of ICT skills essential for AI, data analytics, and digital services. In 2023, only about 19% of Canadian businesses reported providing ICT training, well below top performers. The consequence is a weaker ability for workers to upgrade capabilities, adopt new technologies, and transition into higher-productivity occupations. A more dynamic guidance ecosystem could steer learners toward in-demand occupations and strengthen private-sector partnerships for internships and apprenticeships.

Overall, the analytics paint a coherent picture: productivity growth in Canada is constrained by a mix of slower within-firm progress, weaker reallocation, and frictions that hinder the growth-enhancing use of technology and capital. The next section contrasts Canada with peers to illuminate feasible policy pathways that could shift these dynamics in an upward trajectory.

Contrasting Canada with peers

Canada’s performance in productivity relative to peers like the United States and other OECD economies reflects structural differences in labour-market flexibility, housing dynamics, and the rate of technology diffusion. The United States, despite its own productivity challenges, has shown faster reallocation and investment in high-productivity sectors, aided by relatively flexible licensing regimes, more dynamic venture funding, and greater geographic mobility. In contrast, Canada’s labour-market rigidities, including provincial licensing fragmentation and urban housing pressures, appear to constrain mobility and adaptation, especially for skilled migrants and recent graduates seeking higher-value opportunities.

International comparisons underscore the payoff to stronger job-to-job mobility and faster adoption of digital technologies. The top-performing economies exhibit higher shares of workers moving between firms and sectors in a given period, translating into more rapid efficiency-enhancing reallocation. Canada’s slower mobility, combined with weaker investment in intangible assets and digital infrastructure, contributes to the observed productivity gap. The contrast suggests that policy action should focus not only on skill upgrades but also on enabling workers to shift across firms and sectors without prohibitive personal or financial costs.

One area where Canada exhibits relative rigidity is in occupational licensing and credential recognition. Fragmented provincial regimes impede cross-border professional movement, raising search costs for workers and dampening the potential for reallocation toward high-productivity sectors. The Ontario ban on non-compete agreements provides a data point for rethinking the balance between protecting firms and enabling worker mobility; a careful evaluation is needed to determine how licensing recognition, professional standards, and mobility interact with innovation ecosystems. The contrast with peers shows that reforms in licensing and credential recognition can deliver productivity dividends without sacrificing quality or safety.

Housing affordability and urban planning emerge as another critical distinction. In high-demand cities, housing costs cast a long shadow over mobility, deterring workers from relocating to firms where productivity gains would be greatest. The Build Canada Homes approach, if integrated with labour-market objectives, could help expand rental supply in high-demand areas and reduce frictions that prevent workers from moving toward higher-productivity opportunities. The contrast with nations that have more modular housing strategies and more transparent zoning may illuminate practical policy templates for Canada.

Another contrast concerns investment in human capital and apprenticeships. In peer economies with stronger apprenticeship systems and tighter links between education and work, workers transition more smoothly into technology-intensive industries. Canada’s apprenticeship and internship pipeline could be strengthened through expanded co-op programs, industry sponsorship, and better alignment with advanced technologies. The contrast suggests that a more integrated education-to-work pathway could accelerate productivity gains by reducing time-to-competence for high-value occupations.

Finally, the contrast extends to digital infrastructure and intangible assets. Peers with more aggressive investment in ICT training, data infrastructure, and AI adoption tend to see faster productivity growth, particularly in services and tradable sectors. Canada’s performance in these areas remains uneven, with room for strategic investments that unlock network effects, improve data governance, and accelerate the diffusion of green and digital technologies across firms. The cross-country comparison points to a shared blueprint: align education, licensing, housing, and investment incentives to reinforce the same productivity channels across the economy.

Cause-and-effect: policy levers and outcomes

Bringing Canada productivity growth back to trend requires a causal map that links policy levers to concrete outcomes. The core channels are: talent supply (skills and training), talent deployment (mobility and matching), firm capability (innovation and capital deepening), and macro-enabling factors (housing, immigration, and trade). Each lever affects two or more channels, creating a network of feedback loops that can amplify or dampen the productivity dividend of reform.

First, upgrading education and training improves the stock of ICT and advanced-technology skills. When employers can access a pipeline of capable workers, firms invest more in intangible assets and automation, raising total factor productivity. The payoff depends on the quality and relevance of training, as well as the speed at which graduates can transition into technology-intensive roles. Evidence from OECD and cross-country comparisons suggests that the efficiency of skill acquisition matters as much as attainment levels, making a focus on teaching quality, work-integrated learning, and aligned curricula essential.

Second, reforms to licensing and credential recognition reduce barriers to mobility. Lower barriers facilitate transitions to higher-productivity sectors, increasing job-to-job mobility and the growth contribution from efficiency-enhancing reallocation. This mechanism requires a delicate balance: maintain professional quality while removing unnecessary costs and administrative hurdles that deter workers from seeking better opportunities. The Ontario non-compete ban example offers a natural experiment to study how mobility policies interact with innovation ecosystems and wage dynamics.

Third, housing policy can materially influence mobility patterns. If the cost and availability of housing in urban hubs deter workers from relocating, policy misalignments emerge between where skills exist and where productive opportunities lie. Long-run planning for affordable rental housing in high-demand areas can unlock geographic mobility, enabling firms to recruit talent from broader pools and accelerate productivity gains. Linking housing expansion with labour-market demand signals ensures that new supply aligns with growth centers and sectors with high productivity potential.

Fourth, targeted wage supports and active labour market policies play a critical role in smoothing transitions for displaced workers and in preventing productivity losses during structural shifts. Wage insurance, early interventions in dismissals, and cost-effective retraining options help preserve earnings while re-skilling. A well-designed program should balance short-term social protection with incentives for workers to upgrade, reducing the risk that temporary support becomes a deterrent to pursuing higher-value opportunities.

Fifth, investment policies—particularly in digital infrastructure, AI, and automation—drive the productivity impact of the labour force. Firms that adopt digital technologies and complementary organizational practices raise productivity levels across the value chain. The challenge is ensuring these investments reach smaller firms and non-extractive sectors as well, so adoption does not remain concentrated in a subset of the economy. Public incentives for digital adoption, interoperability standards, and support for intangible assets can help unlock diffusion effects.

Sixth, trade and supply-chain stability matter for productivity through the channel of investment confidence. Ongoing tensions and disruptions reduce firm-level investment and slow the adoption of new production processes. While diversification and stable relations with the United States are essential, policymakers should also pursue resilience through diversified supplier networks and targeted trade agreements that open markets for high-productivity activities. The net effect is to create a more predictable environment for capital deepening and technology adoption across sectors.

Finally, migration policy must align with labour demand and licensing realities. Immigrant workers contribute to productivity, but their integration depends on timely credential recognition, adequate language and workplace training, and access to higher-skilled roles. A better alignment of immigration, employment services, and licensing reduces mismatches and accelerates the productive use of human capital. In this framework, immigration is not merely a demographic solution but a driver of productivity through selective mobilization of talent into growth sectors.

Expert reconstruction: a policy blueprint for action

To translate the causal logic into concrete reforms, the following four blocks provide a worker-centered policy blueprint. Each block contains prioritized actions, with emphasis on implementation feasibility, measurement, and potential macroeconomic impact.

• Skills and learning systems that match demand
  • Expand work-integrated learning across all levels, with industry co-funding and clear pathways to high-productivity occupations.
  • Invest in teaching quality and digital literacy in schools; restrict personal device use in classrooms to improve core competencies.
  • Strengthen the efficiency of education-to-work transitions by formalizing apprenticeships and expanding internship programs in AI, data analytics, and green technologies.
• Mobility and labour-market exchange
  • Reform occupational licensing to improve mutual recognition across provinces and focus on service quality rather than credential length.
  • Review non-compete practices with a focus on preserving innovation while enabling employee mobility; implement evidence-based restrictions where necessary.
  • Streamline transition supports for displaced workers, including rapid re-skilling and wage insurance where appropriate.
• Housing and urban policy aligned with labour demand
  • Scale affordable rental construction in high-demand cities and align zoning with workforce needs to reduce relocation frictions.
  • Coordinate housing policy with labour-market planning to ensure workers can access productive opportunities without prohibitive costs.
  • Integrate housing policy with mobility programs so workers can move toward high-productivity hubs without bearing excessive housing costs.
• Investment in innovation, digital infrastructure, and green tech
  • Provide targeted public subsidies or tax incentives for intangible assets, AI adoption, and automation in small and mid-sized firms to boost productivity diffusion.
  • Develop a national digital infrastructure plan that prioritizes high-speed connectivity, data governance, and interoperability across sectors.
  • Launch sectoral acceleration programs to scale green technologies and productivity-enhancing processes in energy and manufacturing.
• Immigration and credential recognition
  • Improve alignment of immigration intake with labour-market demand, prioritising highly skilled roles in growth sectors.
  • Advance fast-track credential recognition for foreign-trained professionals and create bridging programs that reflect local standards while leveraging international expertise.
  • Offer targeted language and workplace integration support to accelerate productivity contributions by new arrivals.

Implementation considerations. These reforms require coordinated governance across federal and provincial levels, industry associations, and higher education and training bodies. Financing should come from a mix of public investment, private-sector match funding, and productivity-oriented tax measures that encourage investment in human capital and digital infrastructure rather than enduring subsidies for inefficient practices. Metrics should track inputs (training hours, licensing reforms, housing supply) and outcomes (employment-to-population ratio, job-to-job mobility, firm-level ICT adoption, and productivity growth). The objective is to create a virtuous loop where better skills feed higher-quality jobs, mobility expands opportunities, and investment in technology and housing catalyzes sustained productivity gains.

Displaced workers deserve timely, well-designed support that preserves long-run earnings and accelerates re-entry into high-productivity activities. Wage insurance, early-dismissal interventions, and active labour-market policies can be tuned to minimize distortions while maintaining strong incentives for job search and retraining. The policy package should be designed to avoid moral hazard while ensuring that structural change does not erode social cohesion or political support for climate and productivity goals. The overarching principle is clear: productivity growth in Canada requires a labour-market-centered reform agenda that aligns workers with the evolving productive structure of the economy, while maintaining a robust safety net and credible commitments to decarbonisation and competitiveness.

Conclusion-like synthesis. The path to Canada productivity growth rests on turning structural challenges into strategic opportunities. By elevating the efficiency of skill formation, unlocking mobility through licensing and housing reforms, and accelerating investment in digital and green technologies, Canada can bend the productivity curve toward a higher, more inclusive trajectory. This is not a minor policy adjustment; it is a systemic shift in how the economy coordinates education, labour, and capital. The potential payoff is substantial: a more dynamic labour market, stronger investment in productive capabilities, and a higher standard of living that keeps pace with or surpasses peer economies over the coming decade.

Closing the most critical mobility barrier

While several frictions exist, the strongest lever is a coordinated program linking housing, licensing, and credential recognition to labour-market demand. A practical plan would blend fast-track credential recognition, scalable apprenticeships, and affordable housing in growth hubs to unlock labour-market mobility and faster reallocation to high-productivity sectors. This integrated approach uses labour-market signals to time education, housing supply, and licensing reforms.

These mechanisms dovetail with the four-action blueprint that follows, offering a practical path to higher living standards and sustained productivity growth.

Expert reconstruction: a policy blueprint for action