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Artificial intelligence is making financial information more accessible and supporting an increasing number of investment decisions. But how can we ensure the reliability of its recommendations? In its October 23, 2026 edition, the German daily newspaper Die Welt explores these issues with insights from Marie Brière, Managing Director of the Institut Louis Bachelier and Head of Investor Research at the Amundi Institute.
Comparing funds, analyzing financial reports, or proposing a portfolio tailored to an investor's profile: AI tools are opening up new possibilities. However, their use raises essential questions about the quality of advice, liability in the event of errors, and the consequences for the markets.
In this article by Frank Stocker, Marie Brière points out that large language models can formulate biased recommendations by favoring certain sectors or categories of securities, or by incorrectly extrapolating past trends.
The risks are not limited to the relevance of advice. Marie Brière also draws attention to the vulnerability to manipulation of systems used in financial analysis, automated advice, and algorithmic trading. She specifically mentions laboratory simulations showing that interactions between AI models can lead to the emergence of tacit collusion behaviors.
The spread of errors is another point of concern: inaccuracies can accumulate, propagate, and influence human decisions, potentially altering market dynamics.
As AI plays an increasingly important role in financial practices, understanding these mechanisms becomes essential. This contribution to the international press highlights the role of research in shedding light on AI usage and better anticipating its consequences for investors and financial stability.
Read the full article in English below.
Frank Stocker, "Auch der KI-Anlageberater kann sich mal irren," Die Welt, October 23, 2026.
