Episode summary
Can A.I. Improve Investment Results? With Rob Arnott, Founder & Chair, Research Affiliates.
Money Maze Podcast
· · 37 min · Guests: Rob Arnott
Summary
Rob Arnott argues that AI is already a genuinely powerful tool in asset management, but not a substitute for judgment. At Research Affiliates it is used for coding, compliance, citations, data work, report automation, and first drafts of commentary, while he says it is especially strong where the task is repetitive and data-rich. He also says it is not yet reliable for long-horizon investment decisions or truly creative work, and that hallucinations mean every output still needs human cross-checking.
He links that caution to a broader point about investing: AI can improve process, but it does not automatically improve results. Arnott says data mining can produce attractive backtests and poor live performance, so common sense and a scientific premise still matter more than blind pattern-chasing. He gives examples from fundamental index and growth strategies, arguing that his firm uses data to test ideas rather than to invent them.
On markets, Arnott remains constructive on areas that are still cheap: non-U.S. assets, value, U.S. small cap value, and long-dated inflation-linked bonds. He says a recession, bear market, or geopolitics could catalyze a rotation, but gradual mean reversion may also do the job. His broader message is that AI and market change reward adaptable people who stay open, skeptical, and productive.
Key takeaways
- Arnott says AI is “the real deal” for coding, editing, compliance, data work and automation, but not a replacement for human judgment.
- He warns that AI hallucination is real, citing made-up citations and fake books, so outputs must be checked against reality.
- Arnott says AI is weak for long-horizon investing because there usually is not enough data, and because data mining can worsen live results.
- He still sees value in non-U.S. equities, U.S. small cap value, and long-dated index-linked bonds, which he calls “extraordinary” bargains.
- Arnott says the best investors will use AI to raise productivity, not to outsource decisions to it.
Notable quotes
“AI is the real deal. I mean, it is astoundingly powerful”
“AI doesn't mean a better product. Uh how you use AI can mean a better product”
“the one area that we don't use AI is in product innovation and asset management”
“there's still hallucination problems which people who over rely on AI are making a mistake”
“I don't think AI is ready for long-term investment decisions where common sense uh is arguably more powerful than data”
How the episode opens
I view AI as a very powerful tool. I would say the willingness to embrace AI is partly correlated with shadiv. If you love life and love adventure, you're going to embrace AI.
AI doesn't mean a better product. Uh how you use AI can mean a better product. turning it over to AI.
It's not ready for that prime time. I would say the world is always changing. Technological innovations always kill millions of jobs.
This will be no exception. Technological innovation creates millions of jobs. Be alert to those opportunities.
But if you go back over the last 30 years, what you find is that uh the small companies have actually had about 2% peranom faster growth than the large companies. Today we're starting a interesting series of conversations with some of the world's leading investors very specifically around what I have dubbed beyond human judgment. Can AI improve investment results?
As we know, lots of people have lots of opinions and they may be worthy and wellounded, but I think we are in the fog of investment uncertainty with regard to AI. And as I looked through previous guests, one name stood out and that was Rob Arnot, who in June 24 appeared on the Money Maze podcast and talked widely and broadly and having listened to the show again yesterday with some degree of accuracy about what was going on uh in the markets, what you expected to to unfold. Your firm research affiliates says uh on the tin that it runs systematic investment strategies based upon theory and supported by empirical evidence which provides opportunity for improved outcomes for most investors.
And I'm probably even going to be out of date when I say that your firm now manages 150 billion. You'll correct me, but you know these are you know vast numbers.
From the episode’s captions: roughly the first two minutes, lightly cleaned. Keep watching on YouTube →
Topics
- ai in investing
- ai hallucination risk
- quant vs human judgment
- future of work
- us small cap vs large cap equity
Companies and tickers mentioned
- Research Affiliates
Watch the episode
Summary, takeaways and quote selection by Octagon. Quotes are short excerpts; the full conversation is in the episode.
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