Howard Marks: AI, Debt vs Equity & The Next 40 Years Of Investing | Nikhil Kamath | People by WTF

Howard Marks recounts his upbringing in Queens, New York, and his early interest in accounting and finance. He attended Wharton for undergraduate studies, switched from accounting to finance, and later earned an MBA from the University of Chicago. He mentions the influence of Japanese literature and philosophy, particularly the concept of 'mujo' (the inevitability of change), on his understanding of life and investing.

Marks stresses that predictions are unreliable, but preparation is key. He explains that preparation involves building a portfolio resilient to various possible futures, rather than optimizing for a single predicted outcome. He discusses market cycles as excesses and corrections driven by human behavior (optimism and pessimism), rather than steady growth, noting that the S&P 500's average 10% return is rarely achieved steadily.

Marks speculates on how AI might affect market steadiness, suggesting that without human emotions like greed and fear, returns could be more consistent. He acknowledges the current boom in AI infrastructure but questions whether it's entirely warranted. He also shares his evolving views on AI, highlighting his recent memos and the extensive learning he undertook to understand its implications, particularly its strength in pattern recognition versus human innovation.

Marks reflects on his early career, describing himself as drifting rather than making proactive decisions until he co-founded Oaktree Capital. He emphasizes that starting Oaktree forced him into intentionality and leadership. He contrasts his non-entrepreneurial inclination with the inherent intentionality of true entrepreneurs, suggesting that taking a risk by starting a venture can transform one's approach to life.

Marks explains his preference for debt investing, driven by his conservative upbringing during the Great Depression. He contrasts the 'capped upside, some downside' view of bonds with his perspective of 'predictable outcome, achieved almost every time.' He highlights Oaktree's success in high-yield and distressed debt by accurately predicting default probabilities better than others, emphasizing the importance of thorough, disciplined analysis and the institutional experience of his team.

Marks reiterates that investment success hinges on superior insight. He notes that readily available information won't provide an edge because everyone has it. He uses the analogy of 'Lake Wobegon' where 'all the children are above average' to underscore that true outperformance requires thinking differently and better than the average. This ability to change one's mind and continuously learn, even at an advanced age, is crucial in a competitive game like investing.

Marks admits that while he can identify what is necessary for superior investing, such as 'second-level thinking,' he cannot prescribe 'how' to achieve it. He compares it to basketball, where 'you can't coach height.' He stresses the need to deviate from the herd, but only when such deviation is smarter and leads to better outcomes, acknowledging that the consensus is often close to correct. He concludes that investing is a fascinating, never-ending puzzle that rewards those who thrive in its unpredictable nature.