AI Paradox: Promise vs. Reality—What It Means for Monetary Policy Staff analytical paper 2026-4 Joshua Brault, Maryam Haghighi, Jing Yang This note reviews the emerging evidence on AI’s labour-market and productivity effects, highlighting early task-level impacts, sizable micro level productivity gains, and the macroeconomic challenges these pose for monetary policy during the transition. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E2, E24, E3, E31, E5, E50, E52, E58 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Structural challenges, Digitalization and productivity
The trade conflict hasn’t derailed supply chains. Here’s why. Sparks at Bank article Raheeb Dastagir, Louis Poirier Global supply chains have been working well despite abrupt shifts in US trade policy and rising global tensions in 2025. A big reason for this is that companies have improved how goods are shipped and warehoused to keep products flowing around the world. But these supply chains could be tested even more if the trade conflict worsens. Content Type(s): Staff research, Sparks at Bank article Research Theme(s): Monetary policy, Inflation dynamics and pressures, Structural challenges, Digitalization and productivity, International trade, finance and competitiveness
AI Agents for Cash Management in Payment Systems Staff working paper 2025-35 Iñaki Aldasoro, Ajit Desai Can artificial intelligence (AI) think and act like a cash manager? In this paper we explore how generative AI agents can help manage liquidity, prioritize payments and optimize efficiency in real-time gross settlement systems. Content Type(s): Staff research, Staff working papers JEL Code(s): A, A1, A12, C, C7, D, D8, D83, E, E4, E42, E5, E58 Research Theme(s): Financial system, Financial system regulation and oversight, Money and payments, Digital assets and fintech, Payment and financial market infrastructures, Structural challenges, Digitalization and productivity
Assessing global potential output growth: April 2025 Staff analytical note 2025-15 Samuel Boulanger, Raheeb Dastagir, Daniel de Munnik, Eshini Ekanayake, Kun Mo, Walter Muiruri, Faiza Noor, Sabreena Obaid, Louis Poirier This note presents the annual update of Bank of Canada staff estimates for growth in global potential output. These estimates served as key inputs to the analysis supporting the April 2025 Monetary Policy Report. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E1, E2, F, F0, F1, O, O3, O33, O4 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply, Digitalization and productivity, International trade, finance and competitiveness
Potential output in Canada: 2025 assessment Staff analytical note 2025-14 Selam Abraham, Dany Brouillette, Alex Chernoff, Christopher Hajzler, Stéphanie Houle, Mark Kim, Temel Taskin We explore two scenarios for potential output growth to gain insights into the economic consequences associated with different possible trade policies. Scenario 1 includes limited US tariffs on Canadian exports. Scenario 2 adds a permanent, broad-based 25% increase in US tariffs on imports from all countries excluding Canada and Mexico. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E2, E3, E4, E5 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply, Digitalization and productivity
Assessing the Impact of Demographic Composition on Productivity Staff discussion paper 2025-3 Justin-Damien Guénette, Lin Shao We examine how demographic factors influence potential output, focusing on how the age distribution of the working-age population and the old-age dependency ratio affect aggregate productivity. Following Feyrer (2007), we emphasize that the contribution to aggregate productivity varies by age group, with middle-aged individuals (aged 40 to 49) being the most productive. Content Type(s): Staff research, Staff discussion papers JEL Code(s): J, J1, J11, O, O4, O47, O5, O51 Research Theme(s): Structural challenges, Demographics and labour supply, Digitalization and productivity
Tech Reluctance: Fostering Empathy for Canadians Facing Challenges with Digital Systems Staff discussion paper 2025-2 Sebastian Hernandez, Helena Wang, Badr Omrane, Vera Roberts, David Pereyra We find that individuals who require help performing banking tasks or who are reluctant to adopt technology avoid digital payment systems they expect to lack usability. Addressing these issues through standard accessibility practices, live assistance and thoughtful interface design can enhance user interaction and trust. Content Type(s): Staff research, Staff discussion papers JEL Code(s): A, A1, A14, C, C9, C90, D, D8, D83, O, O3, O33, Y, Y8, Y80 Research Theme(s): Money and payments, Cash and bank notes, Digital assets and fintech, Retail payments, Structural challenges, Digitalization and productivity
The Distributional Origins of the Canada-US GDP and Labour Productivity Gaps Staff working paper 2024-49 James (Jim) C. MacGee, Joel Rodrigue We find the top 10% of the income distribution accounts for three-quarters of the gap in GDP per adult between Canada and the United States. The large gaps in income for high-income earners help distinguish between alternative explanations of this persistent gap in GDP per adult. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D3, D31, E, E2, E24, J, J2, J24, J6, J61, N, N1, N12, O, O4, O47, O5, O51 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply, Digitalization and productivity
Gender Gaps in Time Use and Entrepreneurship Staff working paper 2024-43 Pedro Bento, Lin Shao, Faisal Sohail The prevalence of entrepreneurs, particularly low-productivity non-employers, declines as economies develop. This decline is more pronounced for women. Relative to men, women are more likely to be entrepreneurs in poor economies but less likely in rich economies. Content Type(s): Staff research, Staff working papers JEL Code(s): J, J2, L, L2, O, O1 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply, Digitalization and productivity
Total factor productivity growth projection for Canada: A sectoral approach Staff analytical note 2024-12 Dany Brouillette, Tessa Devakos, Raven Wheesk We propose a tool that decomposes TFP growth into sectoral contributions. The analysis incorporates three structural factors—digitalization, aging and climate change policies—and measures their contributions. Overall, we expect that aggregate TFP growth will slow down in the 2020s below both its historical average and the average from the 2010s. Content Type(s): Staff research, Staff analytical notes JEL Code(s): D, D2, D24, J, J1, J11, O, O3, O33, Q, Q5, Q54 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Climate change, Demographics and labour supply, Digitalization and productivity