IMF Urged Modernization for AI-Ready Payment Systems
Financial infrastructure requires upgrades to handle the continuous, autonomous transaction models introduced by AI agents.
Updated on Sept. 30, 2026 in Artificial Intelligence
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The International Monetary Fund has advised global policymakers to modernize payment systems to support AI-driven financial services. This announcement highlights the need for architectures capable of handling continuous autonomous transactions.
Why it matters
Updating payment frameworks is essential to capturing the efficiency gains of AI while mitigating systemic risks like liquidity issues. These changes are necessary to support the expansion of digital services in economies like Nigeria.
Modernization efforts focus on tokenisation, which supports programmable transactions by linking digital tokens to underlying assets. This approach contrasts with legacy systems that cannot natively support autonomous agents managing real-time fee and exchange rate comparisons.
The players
International Monetary Fund
A global organization that monitors the financial and economic health of member countries and provides policy guidance on international monetary systems.
Dan Katz
The First Deputy Managing Director of the International Monetary Fund who is tasked with overseeing financial policy and systemic risk assessments.
The details
AI-powered agents in finance function by executing real-time comparisons of transaction fees and exchange rates to optimize user costs. By automating regulatory compliance and customer due diligence, these systems increase competition and throughput. However, the current financial infrastructure was not designed for the continuous, high-frequency nature of these autonomous transactions.
Timeline
September 28, 2026: Dan Katz addressed the Sibos 2026 conference regarding AI integration in finance.
The Tech Race
This guidance places the IMF at the forefront of defining how central banks transition to digital money and tokenised reserves. It directly challenges existing, siloed payment infrastructures that fail to facilitate the programmable, autonomous transactions expected in the next generation of global finance.
Users will likely see lower transaction costs and faster settlement times as financial services integrate AI-driven agent software. These updates rely on government adoption of tokenisation and regulatory frameworks, meaning the timeline for consumer-facing changes depends on individual central bank policy shifts.
The takeaway
The transition to AI-ready finance hinges on whether institutions can move from static systems to tokenised, programmable models. Observers should track upcoming central bank pilots regarding tokenised reserves and public debt instruments as the primary indicators of progress.
Further reading
For broader insights on the evolution of automated financial tools, see the latest updates in Artificial Intelligence.
Source note: This article includes information reported by The Guardian Nigeria News - Nigeria and World News.
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