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This study investigates how extreme flood events can indirectly impact the global supply chain through production disruptions. The findings emphasize that the size of inventories is crucial; a lean-inventory system leads to faster shock propagation, higher losses, and fewer recoveries compared to an abundant-inventory system.

As businesses worldwide are adopting artificial intelligence to boost productivity, little has been known about how businesses in Canada are using it. Survey results from the Bank of Canada show that AI adoption remains at an early stage for many Canadian businesses. As well, businesses expect AI to affect capital spending and employment, but only gradually.

AI has the potential to reshape the labour market by automating some tasks for many workers. Even though evidence of a significant impact on the labour market remains limited, AI appears to be making it harder for some Canadians to find work in occupations that are most exposed to it.

Natural disasters can create important challenges for monetary policy in resource-rich small open economies. Using a DSGE model calibrated to Canada, we show that most disasters operate as adverse supply shocks, lowering output and raising inflation, thereby creating a trade-off for monetary policy.

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.

Rising volatility and structural shifts—deglobalization, climate risks, and AI—are reshaping inflation and policy trade-offs. Evidence suggests central banks can accommodate supply-driven inflation while balancing inflation and output, as long as expectations stay anchored and policy reflects shock size, persistence, and broader economic conditions.

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.

This policy note examines how a non-interest-bearing retail central bank digital currency (CBDC) could affect the financial stability of Canada’s systemically important banks during a severe recession. Stress test results show that the banks remain resilient, maintaining key regulatory ratios even under high CBDC demand.

How do deglobalization and rising trade costs affect monetary policy? A two-country, multi-sector model of Canada and the United States shows that bilateral trade-cost shocks generate a manageable inflation–output trade-off under the existing framework — but larger or more persistent shocks would make look-through policies costlier and riskier.

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.