Will AI Displace Financial Advisors? (EP. 455)

What It Covers

Recorded live at Future Proof Miami, Animal Spirits hosts Michael Batnick and Ben Carlson interview Michael Kitces on AI's threat to financial advisors and Phil Huber of Cliffwater on private credit bubble fears, using industry data spanning two decades to challenge prevailing negative narratives in both areas.

Key Questions Answered

• •AI & Advisor Displacement: DIY investors who upload financial documents to multiple AI platforms and analyze competing outputs are self-selecting out of advisory relationships — they never became clients anyway. Advisors should recognize that people who find that process exhausting are precisely the clients who hire and retain human advisors long-term.
• •Technology & Advisor Productivity: Over 30 years of industry benchmarking data, advisory firms maintained the same 1% fee, ~40% overhead expense ratio, and ~30% profit margin despite adopting the internet, smartphones, robo-advisors, and AI. The only metric that shifted materially was client load, which declined steadily as advisors went deeper with fewer, higher-revenue relationships.
• •AI Efficiency Paradox: When technology frees up advisor time, advisors consistently choose deeper client engagement over acquiring new clients — once income reaches a comfort threshold. Advisors should proactively identify underserved top clients rather than assuming efficiency gains will translate into expanded books of business.
• •Private Credit Default Reality: The Cliffwater Direct Lending Index, tracking 10,000-plus middle market borrowers since 2004, recorded only ~60 basis points in realized credit losses during 2008 despite the GFC. The index returned meaningful double digits in both 2009 and 2010, when actual realized losses peaked near 7% and 3% respectively, demonstrating income's stabilizing role.
• •Private Credit Liquidity Management: Well-run evergreen private credit structures meet redemptions through pre-built revolving credit facilities and natural loan repayment cycles — not forced asset sales. With average effective loan maturities of three to four years and roughly 30% of portfolios repaying annually, organic liquidity is substantially higher than public perception suggests.