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
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
Integrating Non-traditional Data and AI into Central Banking: A Canadian Perspective Staff analytical paper 2026-17 James Chapman, Ajit Desai, Maryam Haghighi, James (Jim) C. MacGee This paper reviews how central banks are integrating non traditional data and artificial intelligence (AI) into policy analysis and operations. Using the Bank of Canada’s experience, it examines emerging applications, governance challenges, and strategic choices for responsibly scaling AI to enhance insight, efficiency, and institutional resilience. Content Type(s): Staff research, Staff analytical paper JEL Code(s): C, C4, C45, C5, C55, C8, C88, L, L2, L23, M, M1, M15, O, O3, O33 Research Theme(s): Financial system, Financial stability and systemic risk, Monetary policy, Monetary policy tools and implementation, Money and payments, Payment and financial market infrastructures
Project Samara Research Paper Staff analytical paper 2026-8 Rakesh Arora, Umar Faruqui, Scott Hendry, Dinesh Shah, André Usche Project Samara was a real‑world experiment testing distributed ledger technology and wholesale central bank digital money for bond issuance and settlement in Canada. It demonstrated technical feasibility and potential efficiency and risk‑reduction benefits, while highlighting important trade‑offs related to complexity, governance, and regulatory alignment. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E4, E42, E5, E58, G, G2, G28, O, O3, O33 Research Theme(s): Financial markets and funds management, Funds management, Market structure, Money and payments, Digital assets and fintech, Payment and financial market infrastructures
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
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 Consumer Value Proposition for a Hypothetical Digital Canadian Dollar Staff discussion paper 2024-16 Martine Warren, Bill Laur, Ted Garanzotis, Sebastian Hernandez We explore the consumer value proposition of a hypothetical Digital Canadian Dollar, adoption considerations and the users who would benefit most from this potential new payment method. We employ a design-thinking consultation methodology, allowing participants to interact with research prototypes of increasing complexity to reveal user preferences, constraints and adoption influences. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C9, D, D1, D12, E, E4, E42, E5, E58, O, O3, O33 Research Theme(s): Money and payments, Digital assets and fintech, Payment and financial market infrastructures, Retail payments
The Role of Beliefs in Entering and Exiting the Bitcoin Market Staff working paper 2024-22 Daniela Balutel, Christopher Henry, Jorge Vásquez, Marcel Voia We develop a model that links investors’ decisions to enter or exit the Bitcoin market with their beliefs about the survival of Bitcoin. Empirical testing using Canadian data reveals that beliefs strongly influence both entries and exits, and this impact varies with time and ownership status. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D83, E, E4, E41, O, O3, O33 Research Theme(s): Financial system, Household and business credit, Models and tools, Econometric, statistical and computational methods, Money and payments, Digital assets and fintech