Nearly nine in ten significant euro-area banks already use generative AI, while seven in ten surveyed EU securities firms expect to increase AI investment, ECB President Christine Lagarde said in a new ESRB speech. Her concern is not simply that individual models could fail, but that AI-related risks in trading, cybersecurity and geopolitics could begin reinforcing one another.
That matters because financial institutions increasingly depend on a small group of frontier models while simultaneously giving AI more autonomy.
Similar AI Models Could Amplify the Same Trade
Lagarde highlighted a familiar market risk with a new AI layer.
If banks, hedge funds and asset managers rely on similar models, those systems could interpret a shock similarly and recommend the same trades at roughly the same time. The ECB says that could reinforce price moves rather than diversify them.
Autonomous trading remains limited for now. Only 5% of asset managers surveyed this year said AI had autonomous or semi-autonomous authority over investment recommendations or trades. But adoption is expected to rise.
The concern fits a broader shift Coinpaper has already tracked in AI financing, where the technology boom is increasingly spreading from equity markets into debt, private credit and infrastructure finance.
The Risk Is Moving Beyond Stocks
The ECB’s May Financial Stability Review already warned that AI exposure is increasingly concentrated across public equities, corporate debt and private markets.
Riskier IT bond spreads have widened more than broader credit spreads, while AI companies and infrastructure projects are relying increasingly on borrowing. Historically, periods combining unusually strong equity-price growth with rapid business-debt growth have carried a higher subsequent crisis frequency.
That is particularly relevant as the AI buildout moves deeper into data-center debt and increasingly complex off-balance-sheet exposure.
