Manager Discussed AI Risks in Quantitative Investing
Lazard portfolio manager Kurt Livermore analyzed the growing role of artificial intelligence in systematic investment strategies.
Updated on Oct. 12, 2026 in Investing

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Kurt Livermore, a quantitative portfolio manager at Lazard Asset Management, recently detailed how artificial intelligence affects modern investment strategy. He noted that while AI can accelerate research, it also poses risks related to data accuracy and pattern recognition.
Why it matters
Quantitative firms must balance the speed of AI implementation with the need for rigorous economic rationales. Ensuring that signals are backed by structural hypotheses helps managers avoid spurious results often generated by data mining.
Lazard Asset Management reported $259 billion in assets under management as of 31 March 2026. Additionally, Bridgewater Associates launched a $2 billion AI-focused fund, though the firm's specific long-term performance targets remain undisclosed.
The players
Kurt Livermore
He is a quantitative portfolio manager at Lazard Asset Management who has nearly 30 years of experience in the field.
Lazard Asset Management
This global financial firm manages billions in assets and maintains its headquarters in New York.
Bridgewater Associates
This investment firm founded the Artificial Investment Associate Labs division to explore machine learning applications.
M&G
This investment manager oversees the Global Maxima Fund, which has outperformed the MSCI ACWI Net Return Index.
The details
Quantitative managers rely on statistical models and algorithms to build portfolios, but Livermore warns that large language models can conflate uncovered information with memorized data. Firms prioritize an economic rationale for signals to prevent models from identifying nonexistent patterns.
Timeline
Bridgewater Associates formed its Artificial Investment Associate Labs division in 2023.
M&G reported Global Maxima Fund results in February 2025.
Bridgewater Associates released an AI fund performance report in March 2025.
Lazard group reported total assets under management as of 31 March 2026.
Lazard group issued financial results on 1 May 2026.
Market Dynamics
The integration of AI represents a departure from traditional performance tracking against benchmarks like the MSCI ACWI Net Return Index. This shift mirrors historical cycles where new technologies eventually became commoditized standards across the global investment industry.
Retail investors should note that institutional use of AI may increase market volatility or efficiency depending on the quality of data models. This technological shift could lead to more commoditized investment products as automated tools become standard across the industry.
The takeaway
Investors should remain cautious of firms that rely solely on machine-generated patterns without a clear economic foundation. Understanding the distinction between genuine structural signals and data-mined noise is essential for evaluating long-term portfolio stability.
Further reading
For more context on market strategies, visit our guide on Investing.
Source note: This article includes information reported by Wealthbriefingasia.
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