Automation and Inequality: How Robots Shift Income Between Workers and Owners Staff working paper 2026-34 Gabriela Galassi, Gaelan MacKenzie This paper examines the direct effects of industrial robot adoption on workers and owners within Canadian private corporations. Adoption increases firm scale and per-worker payroll but does not decrease the labor share of value added. Conventional accounting of labor income earned by owners masks the impact on non-owner workers. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D2, D22, D3, D33, J, J2, J23, J3, J31, O, O3, O33 Research Theme(s): Structural challenges, Digitalization and productivity
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
Incorporating Trip-Chaining to Measuring Canadians’ Access to Cash Staff working paper 2025-16 Heng Chen, Hongyu Xiao Our paper employs smartphone data to construct an improved cash access metric by accounting for both spatial agglomeration and households’ travel patterns. We find that incorporating trip-chaining into the travel metric could show that travel costs are from 15 to 25% less than not incorporating trip-chaining and that the biggest decrease is driven by rural residents. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D1, D12, O, O1, O18, R, R2, R22, R4, R41 Research Theme(s): Money and payments, Cash and bank notes
A Retail CBDC Design for Basic Payments: Feasibility Study Staff discussion paper 2025-9 Sriram Darbha, Cyrus Minwalla, Rakesh Arora, Dinesh Shah We outline possible system architectures for an online retail central bank digital currency (CBDC) and identify one well-suited for basic payments. We analyze OpenCBDC 2PC, a representative system, finding such designs to be feasible, although some areas require further investigation. Our framing highlights other promising architectures for a retail CBDC. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E4, E42, E5, E51, O, O3 Research Theme(s): Money and payments, Digital assets and fintech, Payment and financial market infrastructures, Retail payments
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