Monetary Policy in an AI-Driven Two-Speed Economy Staff working paper 2026-27 Joshua Brault, Maryam Haghighi, Jing Yang We analyze monetary policy responses to AI in a two-sector New Keynesian model, distinguishing augmentation and automation. Both reduce labor demand, requiring accommodation that creates inflation trade-offs. Automation worsens them. Aggregate inflation depends on AI’s form and breadth, making policy stabilization more complex and aggregate data potentially misleading. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E24, E3, E31, E32, E5, E52, J, J2, J23, O, O3, O33 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Structural challenges, Digitalization and productivity
Seeing the Economy through Colored Glasses: Partisanship in Macro and (not in) Micro Expectations Staff working paper 2026-24 Adrian Monninger, Kyung Woong Koh, Tao Wang Households report distinctive views of the macroeconomy along partisan lines, while their expectations about personal finances do not follow the same pattern. Economic inequality remains the major contributor to polarized views of the macroeconomy. Partisan politics are simply a magnifier. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E21, E3, E30, E7, E71 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
Measuring the AI Economy Staff working paper 2026-20 Anton Korinek, Patrick McKelvey We construct a macroeconomic estimate of total AI production in the United States, combining inference and R&D/training activities with quality adjustments to account for algorithmic progress. We then develop a nascent framework for "AI GDP" that tracks the AI economy as a coherent whole, complementing traditional national accounts. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C4, C43, E, E0, E01, E2, E22, E3, E31, O, O3, O33, O4, O47 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting, Structural challenges, Digitalization and productivity
Survey Evidence on Firm AI Adoption and its Implications Staff analytical paper 2026-22 Chanya Chawla, Crystal Arnburg This paper analyzes AI adoption among Canadian firms using December 2025 Business Leaders’ Pulse data. It finds that while personal use is widespread, operational adoption remains limited. Firms expect modest positive impacts on capital spending and small net negative effects on employment over the next three years. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E0, E2, E22, E24, O, O3, O33 Research Theme(s): Structural challenges, Digitalization and productivity
Assessing global potential output growth: April 2026 Staff analytical paper 2026-20 Daniel de Munnik, Kristina Hess, Walter Muiruri, Tuuli McCully, Faiza Noor, Sabreena Obaid, Andrew Plummer, Louis Poirier, Abeer Reza, Jillian Schwartz We present the annual update of the Bank of Canada staff estimates for global potential output growth. These estimates served as key inputs to the analysis supporting the April 2026 Monetary Policy Report. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E1, E2, F, F0, F1, O, O3, O33, O4 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply, Digitalization and productivity
Potential output in Canada: 2026 assessment Staff analytical paper 2026-19 Alex Chernoff, Christopher Hajzler, Stéphanie Houle, Gabriella Ruggero, Olena Senyuta, Karanbir Sohal, Walter Steingress, Temel Taskin Growth in potential output is expected to drop from 2.3% in 2025 to 1.2% in 2026 given slowing population growth, US tariffs and trade policy uncertainty. It is then estimated to pick up to an average of 1.5% over 2027–29 as strengthening business and government investment supports trend labour productivity (TLP). Gradual adoption of artificial intelligence is also expected to lift TLP growth over the projection horizon. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E2, E3, E4, E5 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply
Inflation vs Inclusion: Stabilization Policy in the Wake of the Pandemic Staff working paper 2026-13 Felipe Alves, Giovanni L. Violante As the economy emerges from a crisis, macroeconomic policy confronts a dilemma: a protracted stimulus can foster a more inclusive labor market recovery, yet risks igniting inflation that ultimately undermines workers’ welfare through real income erosion. This tension amplifies in the presence of the ZLB and aggregate capacity constraints. We embed this insight into a quantitative model of the US economy. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E21, E24, E3, E31, E32, E5, E52, J, J2, J24, J6, J64 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
Supply Shocks in the Fog: The Role of Endogenous Uncertainty Staff working paper 2026-12 Anastasiia Antonova, Mykhailo Matvieiev, Celine Poilly Recessions feature elevated uncertainty. We develop a nonlinear imperfect-information New Keynesian model where procyclical information quality generates endogenous countercyclical uncertainty and precautionary saving. This demand channel can overturn the inflationary impact of negative supply shocks, making them deflationary, unless monetary policy stabilizes the output gap. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D81, D83, E, E2, E21, E3, E32, E5, E52 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
Examining the macro drivers of mortgage arrears in Canada Staff analytical paper 2026-12 Thomas Michael Pugh, Tao Wang, Taylor Webley Mortgage debt represents over 70% of all Canadian household financial liabilities, and the performance of these debts is critical to the health of the financial system. We explore the relationships between mortgage arrears and key macroeconomic fundamentals such as labour market variables, interest rates, house prices and inflation. We then develop a framework to assess future household mortgage stress. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E2, E3, E37, E5, G, G5, G51 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
The aggregate and heterogeneous effects of responding to shelter inflation Staff analytical paper 2026-5 Michael Irwin, Matías Vieyra This note examines how monetary policy responses to shelter inflation affect both the overall economy and different households. We find that the aggregate macroeconomic effects of responding to shelter inflation are modest, whereas the redistributive consequences across households are substantially larger. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E2, E3, E4, E5, G, G5 Research Theme(s): Monetary policy, Monetary policy framework and transmission