About this episode

Rob Arnott discusses the role of AI in improving investment results and its limitations in the money management ecosystem.

Rob Arnott, Founder & Chair of Research Affiliates, discusses where AI works well & can assist across the money management ecosystem, the risk of ‘AI hallucination’ & over-reliance, quant vs human judgement, and the future of work. Amidst the volumes written about AI’s impact on the business and investing worlds, we wanted to ask some specific questions about adoption, learning, implementation and limitations within the investing universe. We asked these questions of Rob Arnott, founder of Research Affiliates and a previous guest, whose firm is steeped in data, systematic disciplines and empirical evidence. In a compelling and engaging conversation, Rob discusses why common sense can beat data, how AI can hallucinate, its creative limitations, but its unequivocal potency in improving multiple areas of the investing business. Finally, when asked for his convictions across markets, he discusses the exceptional value in US small vs large cap equity! The Money Maze Podcast is kindly sponsored by J.P. Morgan Asset Management *, IFM Investors , World Gold Council and LSEG . * During the episode we cite J.P. Morgan Asset Management as Europe’s leading active ETF provider by…

People in this episode

Guest: Rob Arnott

Topics covered

• AI in investment
• money management
• AI limitations
• quantitative analysis
• human judgement
• future of work
• market analysis

Keywords

• AI
• investment results
• money management
• AI hallucination
• quantitative analysis
• US small cap equity
• large cap equity

Sponsors

J.P. Morgan Asset Management, IFM Investors, World Gold Council, LSEG

Mentioned in this episode

Organizations: Research Affiliates

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