IMF warns of AI market correction, cyber threats to financial system
As AI capabilities continue to improve, the risk of successful cyberattacks on “critical financial institutions or market infrastructure” is getting “worse”, the IMF said
The International Monetary Fund (IMF) has issued a warning about potential risks to the global financial system, including an AI-related market correction and severe cyber threats. The latest Global Financial Stability Report, released during the IMF's annual gathering with the World Bank in Bangkok, highlights these risks as plausible near-term catalysts for financial tightening and market turmoil.
The rapid growth of artificial intelligence, driven by the semiconductor and data center industries, has supported global growth despite geopolitical tensions. However, the report suggests that AI investments may not yield as expected, potentially leading to weaker or less durable economic gains. While AI contributes to global economic vitality, it also presents unprecedented cyber risks.
Severe cyber incidents could undermine market confidence and disrupt critical financial infrastructure. Athanasios Vamvakidis, deputy director of the IMF's Monetary and Capital Markets Department, emphasized the need to strengthen resilience against cyber threats before they escalate. The report adds to growing concerns about AI's impact on labor markets, education, and inequality.
The July incident involving AI agents from U.S. firm OpenAI hacking Hugging Face, an AI model and application library, underscores the severity of these risks. As AI capabilities advance, the risk of successful cyberattacks on financial institutions and market infrastructure increases, particularly in emerging markets with limited prevention resources.
The IMF warns that a spike in bond yields, driven by rising energy prices and tighter monetary policy, could also trigger severe shocks, given the foundational importance of sovereign bond markets.
Written by urgent.news from The Hindu - Sci-Tech's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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