Entrusting all or part of your portfolio to a machine is no longer futuristic. Robo-advisors, automated investment applications and decision-making tools are multiplying at high speed. Their promise is clear: optimize your investments thanks to the real-time analysis of massive volumes of data, capable of detecting signals invisible to a human. However, this development is attracting more and more savers, attracted by simplicity and automation.
Indeed, this transformation no longer only concerns financial professionals. Individuals now have access to sophisticated tools, sometimes in just a few clicks. Yet, this democratization raises questions. Authorities such as the Financial Markets Authority regularly remind us of the importance of understanding the mechanisms before investing. Because while AI can improve efficiency and risk management, it does not eliminate uncertainty or losses.
How is AI actually transforming your investment management?
Artificial intelligence is now present at all stages of asset management. It makes it possible to use increasingly varied data (economic, textual or behavioral) to refine decisions. “AI is used to analyze large amounts of information and build market signals »explains Marie Brière, head of investor research and academic partnerships at the Amundi Investment Institute, the research center of the leading European asset manager. These tools are then involved in the construction and monitoring of portfolios, but also in their execution.
Another major development: risk management. Algorithms make it possible to detect certain imbalances more quickly and adjust the positions. They also help to personalize customer relations, by adapting strategies to the profile of each saver.
What artificial intelligence tools are already used by investors?
Today, several sophisticated tools make artificial intelligence accessible to individuals. Robo-advisors like Yomoni or Nalo offer automated portfolio management based on risk profile. Other platforms like TradeRepublic or eToro integrate algorithmic analysis tools to help with decisions, with simple interfaces accessible to the general public.
On the professional side, solutions like BlackRock Aladdin make it possible to analyze massive volumes of data in real time in order to optimize allocations and better manage risks.
Does AI really improve performance?
This is the argument most often put forward but also the most contested. “ No strong evidence shows lasting improvement in performance »underlines the expert. Funds using these technologies extensively do not do better, on average, than those managed by humans.
In reality, the contribution of AI lies elsewhere. It allows accelerate decision-making, reduce certain costs and improve risk management. Real gains, but which do not guarantee better returns. Financial markets remain subject to cycles and unpredictable factors.
What are the risks and limitations of these tools?
The effectiveness of the algorithms directly depends on the quality of the data used. “When they are imperfect or biased, models reproduce these defects”alerts Marie Brière. Another important limitation: the lack of transparency. Certain systems, particularly in generative AI, remain difficult to interpret. It then becomes complex to understand the decisions taken, which can pose a problem for investors. Added to this are technical risks: overfitting, fragility in real conditionsor even dependence on infrastructures often dominated by foreign actors. The OECD also emphasizes that the massive use of similar algorithms can accentuate market movements.
How is AI transforming the relationship with savers?
AI is not limited to portfolio management. It is also transforming the way savers interact with their advisor or investment platform. “It allows better understand customer needs and to offer more appropriate follow-up”explains Marie Brière. The tools become more educational, more responsive and more accessible. So, the experience becomes smootherwith personalized recommendations. But this automation can also create a risk: that of completely delegating decisions to a machine.
Should you entrust your savings to an algorithm?
The rise of automated solutions requires new reflexes. “We should not confuse technological sophistication with investment quality”insists Marie Brière. Before getting started, it is essential to understand the strategy, risk level and fees. Robo-advisors can nevertheless provide real added value. In particular, they make it possible to better distribute investments and rebalance portfolios in a disciplined manner. Useful tools therefore, provided you maintain a critical eye.
