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2187 Results

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.
June 25, 2005

Changes in the Indicator Properties of Narrow Monetary Aggregates

Although many countries have abandoned monetary targeting in recent decades, monetary aggregates are still useful indicators of future economic activity. Past research has shown that, compared with other monetary aggregates and expressed in real terms, net M1 and gross M1 have traditionally provided superior leading information for output growth.

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.
June 19, 2008

Capitalizing on the Commodity Boom: the Role of Monetary Policy

Remarks Mark Carney Haskayne School of Business Calgary, Alberta
We are experiencing a commodity super cycle. Throughout the current boom, the scale of price increases has been higher, and the range of affected commodities broader, than in previous upturns. Since 2002, grain and oilseed prices have more than doubled, base metals prices have tripled, and oil prices have quadrupled.

Dismiss the Gap? A Real-Time Assessment of the Usefulness of Canadian Output Gaps in Forecasting Inflation

We use a new real-time database for Canada to study various output gap measures. This includes recently developed measures based on models incorporating many variables as inputs (and therefore requiring real-time data for many variables).
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