Kan AI erstatte en nationalbankdirektør i pengepolitiske beslutninger ved at lade en AI-model fastsætte rentesatser og forvalte valutareserver i realtid ?

Centralbankvirksomhed indebærer højstakts makroøkonomisk dømmekraft, politisk ansvarlighed og offentligt tillid. Selvom AI udmærker sig ved mønstergenkendelse, kræver centralbankers beslutninger demokratisk legitimitet, gennemsigtighed og kriseintuition, som ingen algoritme kan erstatte etisk.

Background

Central banking centers on high-stakes macroeconomic judgment, democratic legitimacy, political accountability, and public trust. AI excels at pattern recognition and large-scale data analysis, but central bank decisions require transparency, democratic oversight, and crisis intuition that current algorithms cannot ethically replace.

There is currently no AI system that independently sets interest rates or manages currency reserves in real time, and central banks explicitly exclude algorithmic autonomy in their mandates. Existing tools remain advisory: the Sveriges Riksbank ran a 2023 pilot using machine learning to inform policy discussions, but final decisions rested with human governors and committees. Legal frameworks and accountability concerns prevent full automation of core monetary policy functions. Central bank communications consistently emphasize transparency and human oversight over AI-driven execution.

While AI models have advanced in economic trend prediction and financial optimization, they are not yet capable of fully replacing a central bank governor in real-time rate setting and reserve management. Today’s state of the art limits AI to providing insights and forecasts that inform human decision-making. The complexity, nuance, and broader economic, social, political, and institutional context of monetary policy exceed the current capabilities of even the most sophisticated AI systems, which still require substantial human oversight and intervention.

— Enriched May 10, 2026 · Source: Bank for International Settlements