Key Takeaways
- • AQR co-founder and CIO Cliff Asness discussed machine learning, quant credit, and problems with private markets for retail investors in a Pensions & Investments interview published June 23, 2025.
- • Asness said he likely slowed AQR's machine learning efforts because he questioned what should be turned over to machines, according to P&I's prior reporting cited in the publisher context.
- • Asness pushed back on claims that he predicted recent turmoil in private markets, clarifying that his prior work focused on long-term issues.
- • AQR is described as a quantitative investment manager with roughly $240 billion in assets, per publisher context.
Summary
Pensions & Investments published an interview with AQR Capital Management founder and CIO Cliff Asness, written by Lydia Tomkiw and dated June 23, 2025, covering machine learning, quantitative credit strategies, and concerns about private markets offered to retail investors. The article is listed under the publication's alternative investments coverage.
According to the publisher's own summary of prior coverage, Asness told P&I last year that he likely slowed AQR's machine learning efforts because he questioned what should be turned over to automated systems. In related remarks, Asness has been described as partially surrendering to the machines in reflecting on his 27 years at AQR, a theme that connects his views on artificial intelligence with the firm's quantitative approach.
On private markets, Asness has pushed back on claims that he predicted recent turmoil in the space, clarifying that his earlier work focused on longer-term structural issues rather than near-term market events. His remarks on private asset volatility and the suitability of such products for retail investors form the core of the piece.
AQR is a quantitative investment firm with approximately $240 billion in assets under management, according to publisher context. The full text of the interview was not available in the source material reviewed, so the discussion of quant credit and specific retail-access arguments is limited to the article's headline and summary.
According to the publisher's own summary of prior coverage, Asness told P&I last year that he likely slowed AQR's machine learning efforts because he questioned what should be turned over to automated systems. In related remarks, Asness has been described as partially surrendering to the machines in reflecting on his 27 years at AQR, a theme that connects his views on artificial intelligence with the firm's quantitative approach.
On private markets, Asness has pushed back on claims that he predicted recent turmoil in the space, clarifying that his earlier work focused on longer-term structural issues rather than near-term market events. His remarks on private asset volatility and the suitability of such products for retail investors form the core of the piece.
AQR is a quantitative investment firm with approximately $240 billion in assets under management, according to publisher context. The full text of the interview was not available in the source material reviewed, so the discussion of quant credit and specific retail-access arguments is limited to the article's headline and summary.
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