Brice Prunas - Artificial Intelligence thematic manager - ODDO BHF AM
A theme with structural implications that we see as offering market opportunities is healthcare in connection with artificial intelligence.
Some might argue that healthcare is the number one field of interest for artificial intelligence (AI), particularly as we stand on the brink of the "super intelligence" era. We tend to agree with this view for the following reasons.
1. Artificial intelligence feeds on data, and the largest database in the world can be found in the human body.
2. In recent months, leading figures in AI, such as Jensen Huang (founder of Nvidia), Sergey Brin (co-founder of Google) and Dario Amodei (co-founder of Anthropic), have unanimously supported this view.
3. The work of DeepMind’s AlphaFold on protein structures are paving the way for new, more personalised therapies across a wide range of indications.
4. AI is expected to enable healthcare to move from identifying correlations to establishing causation, particularly in the field of genomics.
5. AI is expected to generate significant cost savings in Western healthcare systems, as exemplified by the “Value-Based Care model” in the United States.
Why is this theme promising?
This theme is part of a broader trend, emerging in the post-DeepSeek era, that favours companies leveraging AI (as opposed to those enabling it), with healthcare being one of the key sectors.
What is your investment strategy in this market segment? What sets it apart from other strategies in the same sector?
The fund we manage, ODDO BHF Artificial Intelligence, is a global thematic equity fund using artificial intelligence to identify the most alpha-generating sub-themes and innovative companies linked to AI. As a result, the portfolio is truly multi-sectoral. Healthcare is one of the sectors represented in the portfolio, currently accounting for 13.5% of the fund’s total assets as of January 31, 2025. It is important to note that ODDO BHF Artificial Intelligence is an equity fund, meaning it carries capital loss and equity market risks. Our investment strategy in this sector is the same as for the rest of the portfolio. After defining the investment universe of companies leveraging AI, an ESG and carbon analysis is applied to narrow down this universe in line with the fund’s sustainable investment objectives. The portfolio management team then conducts a quantitative screening and rigorous fundamental analysis to select the 30 to 60 strongest convictions.
When applied to the healthcare sector, our strategy can be summarised as follows:
What are the main risks associated with this theme, and how do you address them?
We have identified and integrated several key risks into our investment approach.
Main Risks
ODDO BHF Artificial Intelligence is primarily exposed to the following risks: Capital loss risk, Equity market risk, Risk associated with holding mid-cap stocks, Market volatility, Liquidity risk of underlying assets, Modelling risk, Currency risk
Investors are encouraged to consult the Key Information Document (Document d’Information Clé) and the fund prospectus for a detailed overview of the risks associated with the fund.
Disclaimer
This document has been prepared by ODDO BHF for information purposes only. It does not create any obligations on the part of ODDO BHF. The opinions expressed in this document correspond to the market expectations of ODDO BHF at the time of publication. They may change according to market conditions and ODDO BHF cannot be held contractually responsible for them. Any references to single stocks have been included for illustrative purposes only. Before investing in any asset class, it is strongly recommended that potential investors make detailed enquiries about the risks to which these asset classes are exposed, in particular the risk of capital loss.
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An interview with Brice Prunas - Artificial Intelligence thematic manager - ODDO BHF AM on Health & Artificial Intelligence