Ottobre 26, 2026
Article by Natasha Maponga
Introduction
Artificial intelligence (AI) has rapidly transformed global financial systems by bringing new opportunities and benefits such as enhanced productivity, cost savings, improved regulatory compliance and deeper markets.
However, alongside these technological advances, prominent policymakers and international financial institutions are voicing growing concern over how AI may create financial stability challenges. This article outlines whether AI-fueled vulnerabilities and turbocharged cyber risks could undermine public trust in the financial system.
Fragility of Trust
At the International Monetary Fund (IMF) annual meetings in Bangkok, IMF Managing Director Kristalina Georgieva highlighted how cybercrime, “turbocharged by AI”, threatens to undermine public confidence in mainstream banking. She emphasized the importance of guarding against “bad actors”, especially now that AI was “putting the potential of digital fraud on steroids”.
To illustrate the wider reach of cyber vulnerabilities, she referenced the news where hackers had accessed digital fridge control systems and raised the temperature to 50°C forcing hundreds of retailers across France to throw away defrosted food and spoiled milk. This incident highlighted a spike in European public concern over cybersecurity in safeguarding essential goods and services.
Recalling her childhood in Bulgaria, Georgieva expressed concern that similarly, if people lose faith in the current financial system, they may resort to keeping cash in “shoeboxes under their beds”.
AI-Turbocharged Cybercrime and Systemic Risks
Social media feeds are rife with adverts using celebrity deepfakes to promote cryptocurrencies or gold and even the old-school email-style scams can be generated far more prolifically. A case in point is that in January 2024, the UK engineering group Arup lost HK$200 million (€22.6 million) after fraudsters used deepfakes of senior employees to authorize financial transfers during a video conference.
It is notable that markets continue to move faster, therefore it is necessary to make sure that they are ready to deal with the even greater speeds that could come with AI. The August 5, 2024, selloff in Japanese and US equity markets is an instructive preview of the AI risk. The turmoil was reportedly amplified by hedge funds when automated trading algorithms spotted clear downward trends and volatility spiked. While it was driven by traditional quantitative algorithms acting in unison, it demonstrates how automated herd behavior can instantly destabilize global markets, a threat that may be amplified as true AI models become more widely adopted. Such a case may leave the public in doubt of the financial system as an unpredictable, machine-controlled environment beyond human supervision.
Artificial intelligence is simultaneously transforming defensive capabilities and amplifying cyber threats in ways that raise systemic financial stability concerns. IMF analysis suggests that extreme cyber‑incident losses could trigger funding strains, raise solvency concerns, and disrupt broader markets.
Regulation and Countermeasures
Financial leaders have warned against autonomous digital financial agents conducting financial transactions or automatically shifting customer deposits toward higher yields. Such automated tools could trigger similar investor behaviour, accelerating liquidity drains and bank runs during moments of market uncertainty. Acknowledging these concerns has forced several financial institutions to impose restrictions on these agents. In October 2026, major US banks including Citi, Bank of America and JPMorgan restricted AI agents’ access to customer data to help safeguard customer accounts and information.
Such restrictions are measures to counter vulnerabilities without constraining technological progress. Globally, financial regulators are being urged to invest in supervisory technology (Sup-tech) driven by AI to process information and spot fraud and other potential troubles. Sup‑tech is already being used in money laundering and counter-terrorism.
However, an additional concern about Sup-tech arises: if AI is compromised and we use another AI to regulate it, how do we ensure that regulatory AI (Sup-tech) doesn’t go wrong?
Conclusion
Some of the doubt surrounding the financial system is not driven by an inherent hostility toward artificial intelligence, but rather by the evident risks that AI and quantitative models amplify. Due to the public accessibility of AI, it does not only fall into the hands of legitimate users but also the corrupt.
Policymakers acknowledge that because digital breaches and model compromises are inevitable, institutional frameworks must prioritize rapid solutions such as cyber stress testing and operational recovery. The IMF calls for stronger cybersecurity capabilities, better reporting of incidents, closer oversight of third-party risks and greater financial system resilience. Proactive policies for financial stability are the best way to prepare as risks are rising.
AI is both the criminal’s tool and the regulator’s shield. We have yet to see which dominates.
Sources:
1. World leaders must wise up to threat of cyber-attacks or rogue fridges will be least of their worries -The Guardian, Heather Stewart.
2. Financial Stability Risks Mount as Artificial Intelligence Fuels Cyberattacks – International Monetary Fund (IMF).
3. Artificial Intelligence and its Impact on Financial Markets and Financial Stability -International Monetary Fund (IMF).
4. Arup lost $25mn in Hong Kong deepfake video conference scam – Financial Times.
5. Citi becomes latest US bank to restrict AI agents from accessing accounts – Financial Times.
6.British engineering giant Arup revealed as $25 million deepfake scam victim -CNN.
7.Regulatory Innovation and Permission to Fail: The Case of Suptech -Hilary J. Allen American University Washington College of Law
8. Global Financial Markets Face Rising Risks From AI, Bond Yields, and Cyberattacks -International Monetary Fund (IMF).
9.Cyberattack on French supermarkets tells us more about food security than AI safety– Politico.